Best ETL Tools
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PRODUCTS
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BUYER'S GUIDE
Buyer's Guide
By Ritinder Kaur, Market Analyst at SelectHub
ETL platforms collect your digital business assets in a structured format for analysis and reporting. Most analytics and BI tools have built-in ETL capabilities. Whether you want end-to-end data management or a standalone ETL solution, assessing your requirements early on helps in software selection.
This guide includes the definition of ETL tools, benefits, features and current trends. It also covers a most popular products section to acquaint you with common features of ETL platforms.
Executive Summary
- ETL tools give you a single source of truth to work with unique, accurate information.
- Deciding whether to deploy on-premise or in the cloud depends on your business needs, infrastructure and budget.
- The need for real-time insight makes live updates a must-have feature for many enterprises.
- Automated ETL workflows keep information up-to-date without the need for manual intervention.
- Advanced ETL features include machine learning algorithms and event-driven architecture.
- Define your requirements by framing questions to ask within your organization and of the vendor.
What Is ETL Software?
ETL solutions pull business data from sources, transform it into a structured format and upload it to storage. Modern ETL systems populate warehouses by generating the extraction code automatically through workflow designers.
ETL includes the following steps:
- Extraction: Drawing assets from various sources and storing them in a staging area.
- Transformation: Mapping the data’s schema to the target storage and converting it into a compatible format.
- Loading: Loading the data into the repository.
Modern ETL software ingests disparate asset types, including text, audio, video and streaming data. It surfaces undiscovered business opportunities and discrepancies that might impact operations. You can make more focused, data-driven strategies.
Deployment Methods
As new data types become available, you need a scalable, performant ETL solution to stay competitive. Will an on-premise solution scale with your business, or will you need to migrate to the cloud? Each deployment model has its pros and cons.
It’s a good idea to assess what you’re willing to compromise on and which attribute is a must-have for your organization.
Expert recommendations and analysis on the top ETL Tools
On-premise
Deploying on premise frees you from internet dependence and connectivity issues. Opting for a perpetual license with a one-time, lump-sum payment is cost-effective compared to an annual subscription which might get pricier over time.
Enforcing governance and security protocols is your responsibility, as is maintenance, though you have greater control over your data.
However, deployment can be effort-intensive and time-consuming. Infrastructure and training costs can add up, making it an expensive option. Scaling the system with industry-grade security and governance protocols might cost extra.
Cloud-based
You can opt to self-host on a private cloud or subscribe to a software-as-a-service version. If you’re considering a hosted version, ask if the vendor will provide a sole or shared instance. Sharing computing and storage resources is cost-effective, though it might impact performance. On the other hand, a single-tenant option can be expensive.
Cloud systems have a low cost of entry since pricing is often subscription-based and includes maintenance and support. It makes cloud software an attractive option for small enterprises. Implementation is painless as maintenance, troubleshooting and upgrades are on the vendor.
Cloud systems are scalable with your business and available on all internet-connected devices.
But, connectivity issues can cause the software to lag. Deploying on the public cloud forces you to rely on the vendor’s servers. The business might suffer if the servers go down or the vendor implements downtime for upgrades or patch fixes.
Though a monthly subscription seems affordable, costs can stack up quickly with additional licenses, modules and upgrades. Large enterprises with the resources to pick and choose might find on-premises deployment a viable option.
Security and performance are primary concerns with cloud-based systems, while on-premise systems are resource-intensive. Vendors offer an in-between solution with the best attributes of the two — hybrid cloud — and many enterprises are opting for it.
Hybrid Cloud
A hybrid cloud solution allows storage, backup, compliance and security on private servers while giving you access to cloud-native capabilities. A single interface lets you manage the cloud and on-premises components while an orchestration element joins the two.
It’s ideal for enterprises seeking to make their legacy systems work. Many organizations find the hybrid cloud a convenient first step to migrating to the cloud entirely.
Not sure which deployment model will fit your needs? Receive advice from the experts for greater clarity.
Expert recommendations and analysis on the top ETL Tools
Benefits
Data accessibility, or lack of it, can make or break your company, and ETL software fills this gap.
Let’s look at other ways in which it benefits your business.
Centralize Digital Assets
Previously, sources were few, but establishing connections through manual code took days, even weeks. Thanks to modern connectors, ETL tools pull information from multiple sources in less time. These assets are stored in a centralized repository and serve as the final source of truth, helping you stay competitive.
Get Faster Insights
Parallel processing helps manage large asset volumes in little time. Get access to the latest, accurate insight by scheduling automatic data refreshes or updating information manually with a single click. Fact-based decisions enhance performance and position your company to take advantage of business opportunities.
Manage Big Data
ETL software supports complex filters, conditions, parameterization and aggregation. It speeds up transformation by reusing data maps, irrespective of the underlying assets. Built-in error handling empowers developers to build operationally resilient integration solutions.
Integrate With BI Tools
Flexibility and interoperability ensure your ETL tool works well with other data integration framework components, including your company’s software and hardware. A central metadata repository facilitates integrating with other systems, including BI tools. Metadata includes data definitions, models for target databases and source-to-target transformation rules.
Expert recommendations and analysis on the top ETL Tools
Implementation Goals
What do you hope to achieve by implementing ETL? Though every business might have a different answer to this question, here are some common implementation goals to get you started.
Goal 1 Stay Competitive |
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Goal 2 Track Business Performance |
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Goal 3 Make Data-Backed Decisions |
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Goal 4 Centralize ETL Processes |
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Including implementation goals when assessing ETL platforms will help you narrow down your options.
Expert recommendations and analysis on the top ETL Tools
Key Features & Functionality
Identifying your essential requirements at the onset sets a sound foundation for your software search.
Here are some basic features of ETL software.
Source Connectivity | Connect to your organization's file formats, databases, CRMs, ERPs, and other solutions. Pull information from text, CSV, Excel and XML files and applications like Salesforce, HubSpot, etc. |
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Self-Service Data Management | Democratize data extraction and transformation through no-code ETL. Blend complex data volumes and process them at scale on a visual interface. Anyone can learn how to build a data pipeline in minutes with automated workflow templates. |
Data Preparation | Cleanse, sort, group and migrate large volumes of data across systems and warehouses. Incremental transformation is a lightweight updating technique that changes only new, unchanged data to align with the warehouse schema and requires little ETL overhead. Ask for it when talking to potential vendors. |
Reporting | Get periodic ETL job status reports or generate them ad hoc. Set alert notifications for incomplete jobs, halted workflows and other errors and discrepancies. |
Quality Management | Maintain information in complete sync irrespective of how the updates happen, whether in batches or real time. Ensure accurate and reliable data with an intricate network of connectors and databases. |
Security | Secure data while conveying it across systems and networks with encryption in motion and at rest. Choose an ETL solution that complies with current security regulations like GDPR, SOC II, CCPA and HIPAA. |
Expert recommendations and analysis on the top ETL Tools
Advanced Features
If you seek advanced features for your ETL tool, reach out to the vendor to learn what it will cost. If starting from scratch, select a tool you can scale later by adding advanced attributes.
Here’s a ready reckoner.
Real-Time ETL | Get real-time updates, especially if your industry deals with time-critical use cases, like booking systems, point-of-sale terminals or healthcare-related workflows. Make faster decisions with continuous real-time data integration through container-based ETL. Deploy a distributed, scalable, near real-time ETL environment using J2EE technology. |
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Event-Driven Architecture | Ingest streaming data from Amazon Redshift, Snowflake, Google BigQuery, Google Analytics, Salesforce, SAP, social media platforms, etc. Enrich the data with externally sourced information through ML-driven algorithms. Traditional ETL systems can’t process this data, while few modern tools can. They have loosely coupled data sources and consumer systems. When streaming systems publish new events, consumer modules connect to them and populate the warehouse accordingly. |
Automation | Schedule transformation tasks and complex workflows through built-in job scheduling. Automate repetitive tasks, freeing up resources to focus on effort-intensive tasks. Artificial intelligence automates the ETL process — there’s no need to enter information into the database manually. Stay updated about how the ETL jobs are performing with live notifications. |
Pre-Built Transformations | Convert data to a usable format with little or no technical skills. Deliver information faster by simplifying complex data changes with built-in transformations. |
Expert recommendations and analysis on the top ETL Tools
Industry Trends
Staying informed about current trends can impact your software purchase decision. If you’re planning to scale the business, which popular functionality should you factor in today?
Here’s a list of ETL software trends.
Data Literacy
Enterprises seek faster time to insight, hence the push for data literacy. Business owners want everyone to know how to manipulate, visualize and analyze data. Vendors align their offerings to include an intuitive interface and a centralized task management console.
User-friendly actions like drag and drop, selecting and clicking, etc., let you autonomously manage ETL processes. The learning curve is shorter, and organizations save time on employee training. You can start building entire data pipelines within days after deploying a self-service ETL solution.
Greater autonomy requires guardrails, and role-based access restrictions and audit trails ensure accountability through transparency. With the industry's focus on reducing the time to market, this trend is likely to evolve.
Cloud Migration
Anywhere accessibility, interoperability and pay-as-you-go models make the cloud an attractive option. Statista predicts investment in global cloud IT infrastructure to from $90 billion in 2022 to $133.7 billion by 2026.
Security is a primary enterprise concern when considering cloud migration. However, studies say it isn’t so much the data’s location as the origin of malicious intent that puts your assets at risk. 34% of data breaches happen through internal theft and twenty seven percent through accidental data leaks.
Cloud software vendors provide compliance with industry-grade security standards like GDPR, CCPA, HIPAA, SOC 2, etc. Cloud ETL systems are enterprises’ first choice when migrating their digital assets, and this trend is likely to stay.
Automation
It executes all ETL steps in the correct sequence without error-prone manual intervention. Automated ETL workflows support software development on two fronts — app and database updates.
Did you know that Amazon deploys updated code to production every 11 seconds, while Netflix does it at least a thousand times a day? ML-based automated data preprocessing improves data quality before transforms happen.
Mapping extract, transform and load processes to an ETL tool and invoking the automated script through the command line can set these processes in motion. Automated ETL manages warehouse functions, coordinating operations across applications and databases.
Database release automation keeps your repositories updated. When developers commit the database changes to version control, the ETL tool initiates the integration process, and the data warehouse reflects the changes. It helps enterprise reporting tools generate real-time reports.
Automated ETL speeds up data availability and is likely to be a must-have feature on enterprises' lists for the foreseeable future.
Modern ETL
Traditional ETL systems are monolithic, rigid and unable to adapt to large data volumes. They support batch processing of structured and semi-structured data only. Efficient metadata management and compliance are often lacking, and vendor lock-in and license costs make legacy systems a liability.
Support for unstructured data, complex transformations and real-time processing is essential to use proprietary data to its fullest potential. Adopting ETL modernization techniques is a way for enterprises to make it happen.
These include big data pipelines using Apache Spark/Azure Databricks, containers and serverless platforms, and ELT. The extract, load and transform technique involves loading the assets into the warehouse and processing only the required data when necessary.
Your ETL modernization strategy should align with your digital and IT roadmap, deployment framework and skill levels.
Check out our Business Intelligence Trends article to learn more about the latest, most relevant trends.
Expert recommendations and analysis on the top ETL Tools
Software Comparison
You should have enough information now to start making your own requirements checklist. Or get our free requirements template to get started. Some businesses require batch processing only, and a traditional ETL tool can serve their needs. However, if you need live updates, you’ll need an ETL tool with streaming data capture, especially if you deal with big data.
Contacting colleagues and industry peers is a great way to get tried-and-tested product references. Compare and contrast the features of various tools with our comparison matrix.
Cost & Pricing Considerations
Product costs will vary depending on the deployment model you choose.
If planning to deploy on-premise, you can opt for a one-off purchase or recurring payment model with capacity pricing. When calculating the cost of ownership, factor in infrastructure deployment, maintenance and technical overheads.
Include the cost of add-ons and additional features if you’re considering a cloud-based solution.
The total cost of ownership may include but is not limited to the below considerations:
- Deployment support
- Upgrades
- Maintenance
- Add-ons
- Customization
- Training
The best ETL tool for you will be a solution that meets your business requirements without breaking the bank.
Expert recommendations and analysis on the top ETL Tools
The Best ETL Software
Figuring out what you need in an ETL platform is easier when you learn what’s working for others with similar needs. Here’s a list of the top five leading ETL solutions currently on the market, curated by SelectHub analysts.
Talend
It’s a free, open-source big data integration and management solution for enterprises. A unified data fabric layer lets you combine metrics across networks and ensures quality through master data management. The software complies with industry standards like Eclipse, Java and SQL, letting you build reusable pipelines.
The vendor provides a sandbox environment for warehouse optimization, sentiment analysis, and clickstream and Apache weblog analytics. The cloud data integration model and the data fabric layer are available for a fee.
Azure Data Factory
It’s a fully managed, serverless data integration service to build ELT/ETL workflows. The software can perform event-based processing by working with Azure Event Grid. It integrates seamlessly with the Apache suite and other Azure products.
You can create end-to-end pipelines by setting up automated data movement and transformation. Live connections with more than 90 connectors help upload data in batches or iteratively. Workflow monitoring via alerts is possible.
InfoSphere Information Server
This offering from IBM supports data integration and governance at the enterprise level. Its scalable architecture handles complex workloads while maintaining data quality via master data management. Supporting modules — Information Server Packs, Federation Server and Data Replication — provide consistent connectivity, event-based replication, change data capture and data publishing at high speed.
Informatica PowerCenter
It’s an enterprise-level ETL tool that provides all users access to business intelligence and analytics through its code-free interface. Pre-built graphical tools and transformations let you perform tasks autonomously.
The vendor ensures the software is highly performant and available with grid computing, adaptive load balancing and dynamic partitioning. Pushdown optimization and distributed processing reduce the time to insight.
SAP Data Services
It’s the data management layer of SAP’s Business Technology Platform. The software’s previous moniker was BusinessObjects Data Services (BODS). It extracts, transforms and loads data of all types to enterprise portals and websites.
You can record dataflow information for future reference with its auto-documentation feature. Localization enables the adoption of the solution in more than 190 countries. AES 128-bit encryption ensures data security.
Expert recommendations and analysis on the top ETL Tools
Questions to Ask Yourself
Use these questions as a starting point for internal conversations:
- Which deployment option will you prefer — on-premises, cloud or hybrid cloud?
- Which are your preferred data sources?
- Who will use the solution? Will they require training?
- Will your business need streaming data?
- How important are self-service capabilities for your organization?
Questions to Ask Software Vendors
Use these questions as a starting point for conversations with vendors:
About the Software
- Is the software compatible with your legacy systems?
- Can you build data pipelines autonomously?
- Does it comply with HIPAA, GDPR and SOC II?
- Does it integrate with big data sources?
- Is automation available?
- What are the pricing plans? What features and customization options will cost extra?
- Is it easy to use?
About the Vendor
- Does the vendor specialize in ETL software?
- How often do they release updates?
- Is support included, and what are the available tiers? If not, how much will it cost?
- What is the learning curve like? Is training included?
- Which security protocols do they have in place?
In Conclusion
Selecting an ETL tool needs careful thought and lots of research. This buyer’s guide is a primer for IT professionals looking for the right product for their organization.
Top 10 ETL Tools Leaders by Analyst Rating (of 46 products)
(of 46 products) GET THE IN-DEPTH REPORTProducts found for ETL Tools
IFTTT
IFTTT (If This, Then That) is a service that lets users connect apps, online services and home automation devices with third-party integrations to perform routine tasks. Working with digital voice assistants such as Alexa, Siri, Cortana and Google Assistant, it enhances productivity by connecting apps and systems otherwise not interconnected. Users can select trigger channels like Slack, Twitter, Google Drive and Facebook, or connect to smart devices to define tasks to be performed as applets without any coding.Developers can leverage its flexible APIs and SDKs to turn endpoints into a trigger, action or query and embed integrations into apps, websites, emails and calendars to build marketable applets. The vendor offers a free plan with unlimited applets available for use and the option to create a maximum of three applets as well as paid plans for personal and developer use.
Board
Board is a robust solution that offers analytical insights, business analytics and enterprise performance management all under the same hood. It helps key players of a company improve the effectiveness of their decision making. Its customizable and interactive dashboards give enterprises the ability to see a high-level overview of their business, as well as drill down into their KPIs to assess business performance goals. It serves mid- to large-sized companies across various industries, and its programming-free toolkit helps businesses analyze and plan with a tailored, efficient approach, irrespective of technical skill levels.
Domo
Domo is a cloud-based business management suite that accelerates digital transformation for businesses of all sizes. It performs both micro and macro-level analysis to provide teams with in-depth insight into their business metrics as well as solve problems smarter and faster. It presents these analyses in interactive visualizations to make patterns obvious to users, facilitating the discovery of actionable insights. Through shared key performance indicators, users can overcome team silos and work together across departments.
Mathematica
Wolfram Mathematica is a technical computing platform that can perform a wide range of computations and algorithms for mathematics and beyond. Primarily designed for research and academia, it enables users to create powerful scripts through a flexible, multi-purpose programming language. It allows users to analyze and visualize data in sophisticated ways and employ methods such as machine learning, data mining and deep learning to model and solve complicated problems. It is available in the cloud through any web browser or installable on-premises on all desktop environments. Users can purchase licenses as individuals or under group or enterprise pricing for cloud, desktop or both versions.
Stata
Designed for data scientists, Stata is statistical software that helps users find insights through data exploration, visualization, modeling and analysis. It gives users a wide range of both standard and advanced statistical analyses that can help them make inferences and decisions based on data. With both a graphical user interface and command line structure, it’s accessible to users with or without coding knowledge. Users can choose between four offerings according to their needs: MP which is the fastest and largest version, SE for large datasets, IC for mid-sized data sets and Numerics for embedded. Suitable for companies of all sizes, it is available via on-premises installation on Windows, Mac and Linux/Unix devices, or via the SaaS model. Pricing varies based on the number and type of licenses requested, as well as the length of the subscription. It can be purchased for business, government, nonprofit, educational or student use and the vendor offers price quotes upon request.
Redshift
Amazon Redshift is a cloud-based data warehouse service that enables enterprise-level querying for reporting and analytics. It supports an unlimited number of concurrent queries and users through its high-performing Advanced Query Accelerator (AQUA). Scalable as needed, it retrieves information faster through massive parallel processing, columnar storage, compression and replication. Data analysts and developers leverage its machine learning attributes to create, train and deploy Amazon Sagemaker models.Enterprises can glean actionable insights through its integration with the AWS ecosystem. Data sharing is enabled across all its clusters, eliminating the need to copy or move data. It offers data security through SSL and AES-256 encryption with granular access controls to ensure that users have access to only the information that they need.
SQL Server Integration Services
SQL Server Integration Services (SSIS) from Microsoft is a platform to build data integration and transformation packages. It’s built to extract and transform data from XML files, flat files and relational data sources, then load it into destination repositories. With support for 31 languages, its designer module helps create packages for data ingestion and transformation without writing a single line of code.Self-documenting flows ensure records of data pipelines for future reference and reuse. Digital certificates, access control and identity management provide data integrity.
AWS Glue
AWS Glue is a fully managed, event-driven serverless computing platform that extracts, cleanses and organizes data for insights. Automatic code generation ensures citizen data scientists and power users can create and schedule integration workflows. An event-driven architecture enables setting triggers to launch data integration processes.A common data catalog with automatic schema generation ensures data is unique and easily accessible. With streaming data integration, it catalogs assets from datastores like Amazon S3, making it available for querying with Amazon Athena and Redshift Spectrum. Developers can access readymade endpoints to edit and test code.
Talend
Talend is an open-source data integration and management platform that enables big data ingestion, transformation and mapping at the enterprise level. The vendor provides cross-network connectivity, data quality and master data management in a single, unified hub – the Data Fabric. Based on industry standards like Eclipse, Java and SQL, it helps businesses create reusable pipelines – build once and use anywhere, with no proprietary lock-in.The open-source version is free, with the cloud data integration module available for a monthly and annual fee. The price of Data Fabric is available on request.
Sisense
Sisense is an end-to-end data analytics platform that makes data discovery and analytics accessible to customers and employees alike via an embeddable, scalable architecture. With a back-end powered by in-chip technology, it allows analysts to blend large datasets from a variety of sources into a single cohesive database for the entire company. On the front-end, users of all technical skill levels can craft visualizations, reports and dashboards to explore and share insights that drive businesses forward. Its AI-driven, cloud-native analytics offering, Fusion, embeds into business workspaces and empowers teams to view key metrics and data insights where they work. Designed for companies of all sizes, it can be deployed on-premises, as a private cloud-hosted SaaS, as a fully managed SaaS or via a hybrid strategy. It is available via annual subscription pricing and offered in three packages: its main offering BI Analytics Teams, its embedded analytics component Product Teams and code-driven cloud analytics through Cloud Data Teams.
Azure Data Factory
Azure Data Factory is a fully managed, serverless data integration service that helps enterprises build ETL/ELT workflows. Businesses can orchestrate and automate data movement and transformation by creating end-to-end data pipelines. An intuitive interface and built-in connectors let data engineers create live connections with disparate sources and upload data in batches or iteratively.Teams can monitor data processing workflows by setting alerts. The vendor provides a pay-as-you-go service.
Sisense For Cloud Data Teams
Formerly known as Periscope Data, Sisense for Cloud Data Teams is a data analytics software tool that integrates seamlessly with the Sisense platform, offering advanced analytics that delivers actionable insights to teams that work with data in the cloud. It provides a single, cohesive interface for users to store, organize, analyze and visualize all their data for better decision-making. It empowers users of all kinds to produce, consume and share insights intuitively together, with or without coding knowledge. Originally founded in 2012 in San Francisco, California, it was acquired by Sisense in May 2019 and rebranded in January 2020.
BusinessObjects
BusinessObjects from SAP offers a variety of packages to fit businesses of all industries and sizes. It aims to reduce the cost of IT upkeep and increase responsiveness to business problems. It streamlines workloads and lets users share insights to make better business decisions.
Dataflow
Dataflow by Google is a fully managed, enterprise-level data integration solution. It’s a distributed processing backend for building Apache Beam pipelines, similar to Apache Flink and Spark. Though serverless, it can automatically provision on-the-spot virtual machines to balance workloads, scaling dynamically as the data grows.Resource optimization is continuous and consistent, even during pipeline runs. Data teams can view job status through the monitoring interface and the command-line interface (CLI). The vendor offers a 90-day free trial.
Infor Birst
Infor Birst is a cloud-based analytics software tool that aims to help users discover insights without the need for analyst input. It unifies IT-managed enterprise data with user-owned data, supporting the blending of both in a top-down and bottom-up manner. It uses consistent business metrics to structure raw data into organized sets and visualizations. It helps users identify patterns and better understand their organization’s KPIs. It offers a seamless, integrated UI that allows users to perform every step of the data analysis process in a single interface, enabling a smooth experience. It can be deployed either from the cloud or self-hosted on-premise. Users can purchase it in three available formats: per-user fee, by department or business unit or by end-customer in embedded scenarios.
ibi
Ibi by Information Builders offers cloud-based data and analytics platforms that empower users to turn their information into insights through robust visualization, reporting and data management. WebFOCUS is its primary offering. Flexible, configurable and scalable, it integrates data from many sources, simplifies data workflows and enables fast, easy organization and analysis of data. It allows users to make more confident data-driven decisions that drive business results.As of 2020, the vendor has announced that it will be acquired by TIBCO.
SnapLogic
SnapLogic provides an Integration Platform as a Service (iPaaS) to connect on-premise business modules, SaaS inclusions and cloud data sources. Powered by AI, it offers intelligent deployment for businesses of all sizes. It automates integration projects, including development, design, maintenance and deployment in hybrid environments, on-premise and the cloud. It uses pre-built connectors to minimize data transfer efforts from one database to another across 400 applications and data stores.
Fivetran
Fivetran is a cloud-native data extraction tool that simplifies and streamlines the data analysis process with a zero-maintenance pipeline that ensures expedient, transparent delivery of data from source to warehouse. Built to empower analysts, it allows users to accelerate analytics and achieve faster time-to-insights without the need for complex engineering, promoting more efficient data-driven decision-making for users of all technical skill levels. Suitable for small to large companies, it is a public-cloud hosted SaaS available through annual subscriptions, paid via invoice. Pricing is volume based with three tiers of plans, in ascending order of offerings and cost: Starter, Standard and Enterprise.
Jaspersoft
Jaspersoft is a reporting and data analytics suite built around the JasperReports engine that helps businesses create seamlessly embeddable, pixel-perfect reports, dashboards and visualizations. It empowers businesses with the self-service capabilities to find answers to data questions through beautifully rendered visuals that are easy to understand and explain. Bridging the gap between insight and action, it promotes ownership of the decision-making process across organizations. It includes JasperReports Library, JasperReports Server and JasperReports Studio. The vendor also offers a cloud and microservice-embeddable reporting engine, JasperReports IO.
Informatica PowerCenter
Informatica PowerCenter offers high-performance data integration to power enterprise deployments and project management. It extracts, transforms and loads data according to the organization’s requirements into data warehouses for further analysis.
Exago
Exago (replaced by Logi Symphony) is embeddable, flexible and scalable. It is designed for multi-tenant SaaS use and requires no additional desktop downloads or plug-ins. It offers an open API and customizable UI, giving users control and flexibility. It includes express reports, pixel-perfect reports, report formatting templates, crosstab reports, drill-down, a dashboard designer, maps, data blending and OLAP.
Pentaho Data Integration
Pentaho Data Integration helps organizations access, prepare and analyze all of their data from one place. It connects quickly and easily to any data source, whether it's structured or unstructured. It uses an extract, transform and load (ETL) approach to data management.Organizations can govern their data, ensure data quality and accelerate time to insight. Available on-premise and in the cloud, it’s easy to use and offers a wide range of features.
Phocas
Phocas is a cloud-based data analytics tool that helps users manage their business operations. Designed for non-technical users, it uses simplified self-service reporting to deliver customized insights. Users can build dashboards to their specifications and view them through an ad hoc analysis layer called “The Grid” to uncover business opportunities.
TARGIT
Targit is built from the ground up for reporting and business metrics, getting actionable insight from trillions of rows of data in seconds. It surfaces complex events and provides key information to make business decisions. It merges internal and external data and presents it in customizable dashboards and storyboards. Businesses can figure out how to grow in target markets by accurately analyzing data. Deployment options vary from stand-alone to embedded, with web browser compatibility built-in.
Xplenty
Xplenty is a cloud-based platform that integrates data and operationalizes it through reverse ETL. A point-and-click interface enables no-code data ingestion, transformation and preparation. Scalable and flexible, it connects to Salesforce, Amazon Aurora, Google BigQuery, Oracle, SFTP, Asana and Basecamp, among others.With a single source of truth, enterprises can assess existing business strategies and identify gaps and discrepancies. Product owners can improve offerings by enriching customer insights with market trends. The vendor offers a 7-day trial.
Qlik Replicate
Zuar Runner
Zuar Runner (formerly Mitto) is an automated data pipeline platform that ingests raw data from disparate sources, including relational and non-relational databases, flat files and REST APIs. It cleans, models and transforms information to create intuitive visuals. It retains source information for future reference and troubleshooting. It connects to different data sources using pre-built connectors or adds custom sources via scripts, webhooks or APIs. Prepare and model data through the data transformation module.
Hevo
Hevo is a fully managed end-to-end data pipeline service for enterprises of all sizes. Businesses can glean proprietary insights from disparate sources that include live data from streaming devices. With its no-code interface and automated workflows, data teams can integrate business information for reporting and analytics.It enables running minimum-impact data workflows, setting aside erroneous events and anomalous records for redressal, then assimilating them directly into the pipeline. The vendor offers a 14-day free trial while providing a few free SaaS sources to create data pipelines. Users of the Free plan have access to both free and paid sources.
SAP Data Services
Formerly known as BusinessObjects Data Services (BODS), it’s part of the information management layer of SAP’s Business Technology Platform. With a focus on data quality, it extracts, transforms and loads all data types to enterprise interfaces.Dashboards enable visual analytics and display the impact of data quality issues on downstream workflows. Auto documentation allows teams to write dataflow information and add comments for collaboration. An intuitive UI and Unicode compliance provide localization across more than 190 countries. Data security is ensured with AES 128-bit encryption.
Grow
Grow is a cloud-based data visualization solution that helps users derive insights from their data to evolve their businesses. As their brand name may suggest, the vendor designed it to help growing small to mid-sized businesses to access actionable insights. Suitable for the average user, it turns spreadsheets into dashboards that simplify metrics for understanding and can be sent quickly to customers or other employees. It has three offerings: Basic, Professional and Enterprise, which offer varying levels of connectivity as well as varying prices for additional dashboards. All three allow for an unlimited number of users.
ClicData
ClicData is a cloud-based solution that collects data from multiple sources and delivers insights that are easy to use, embed and access on any device. It enables users to design and share dashboards. It has four different pricing plans with varying levels of functionality: Premium, Team, Enterprise and Dedicated. Users can purchase subscriptions at a yearly or monthly rate.
InfoSphere Information Server
Infosphere Information Server supports enterprise-level data integration and governance. With scalable information architecture, it delivers project results faster while maintaining data quality and integrity. Its companion components — Information Server Packs, Federation Server and Data Replication module — provide extended connectivity, change data capture, event-based replication and publishing from databases at high speed. Master data management ensures all information is unique.
Oracle Data Integrator
Oracle Data Integrator (ODI) is a big data integration platform for reporting and analytics. Compatible with all leading options, it draws data embedded in myriad services, BPEL flows and applications. Working with Oracle SOA Suite, it enables service-based and event-based data ingestion.Pre-built connectors automate data connectivity, and advanced change data capture (CDC) records data changes in real time. A flow-based declarative user interface abstracts data integration workflows from business users, boosting productivity and reducing time to insight.
Power My Analytics
Power My Analytics is a promising application that ranks 34 among all ETL Tools according to our research analysts and 88 crowd-sourced reviews from 1 source. Starting from $9.95, Power My Analytics is priced within reason, has offered a free trial in the past and is most applicable for small-to-mid-sized businesses with less than 1000 employees. Power My Analytics can be deployed in the cloud and on-premise and is accessible from a limited amount of platforms including Windows and Linux devices.
Dundas BI
Dundas BI is a browser-based analytics platform built to embed from the ground up. The vendor provides single and multi-tenant deployments with access to shared, reusable content. HTML5 enables customizable visualizations and user-friendly dashboards to build reports with interactivity options to drill down into data on demand. It allows secure write-backs to the database, capturing input through custom forms, stored procedures and REST APIs. It gives businesses complete control over the data stored on their IT infrastructure. The vendor offers a 25-day free trial.
EasyMorph
EasyMorph is an up-and-coming software application that ranks 36 among all ETL Tools according to our research analysts and 7 crowd-sourced reviews from 1 source. Starting from $750, EasyMorph is priced reasonably, offers a free trial on occasion and is most suitable for small-to-mid-sized businesses with less than 1000 employees. EasyMorph can be deployed on-premise and is accessible from a handful of platforms including Windows devices.
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