Best Data Integration Tools

Data integration tools are digital solutions designed to facilitate the process of combining data from different sources and formats into a unified and coherent structure. These tools typically provide features for data extraction, transformation, and loading (ETL), as well as data mapping and data quality management. Data integration tools enable businesses to create a consolidated view of their data, improve data consistency, and enhance data-driven decision-making across the organization.

Buyer's Guide

Last updated on October 3rd, 2023
Data Integration Software Is All About Comprehensive Insight 

Data Integration BG Intro Header

Tracking key performance metrics is critical for staying competitive and establishing your brand reputation. But, enterprises struggle with combining large, complex proprietary datasets to derive business insight. Business intelligence solutions that collect and store data for analytics and reporting are called data integration tools.

When in the market for a data integration platform, analyzing various products’ features to select a suitable tool can be overwhelming. This buyer’s guide intends to equip you with the research tools required to decide.

Executive Summary

  • Besides ETL tools and data warehouse platforms, data integration software includes application integration, quality management and master data management systems.
  • Data integration techniques have evolved over the years to optimize retrieval speed and storage, ELT and streaming data integration being two of them.
  • Data integration software gives you a competitive edge by helping you connect to sources faster.
  • Analyzing the features of the most popular data integration tools in the market can help you create your requirements list.
  • Asking the right questions within your organization and to software vendors about their services and the product narrows down your buying options.

What This Guide Covers:

What Is Data Integration Software?

Data integration systems collect large amounts of disparate data into repositories for subsequent transformation and analysis. Some systems organize and transform data before storing it, while others perform the structuring and cleansing after, but they are all data integration solutions.

Data integration’s origin lies in extract-transform-load workflows, and it is the most critical data management component. Also called big data integration, it gives you a single source of truth, essential if you deal with huge data volumes and complex datasets.

A data integration framework includes a network of data sources, clients and a primary server. The server accepts data requests to pull data from various sources, consolidates the datasets and structures them before delivering them to the client for use.

Data integration evolved to provide enterprise application integration, cloud integration, data consolidation and master data management.

  • Application integration involves engineering multiple applications to work together through service-oriented architecture and electronic data interchange.
  • Integration-platform-as-a-service tools are cloud-based and enable data integration across on-premise applications and cloud platforms.
  • Data consolidation involves centrally pulling data from multiple sources or moving it from one repository to another.
  • Master data management ensures a centralized data source with consistently accurate and unique data, helping you identify inconsistencies and operational inefficiencies in your business.

Data integration techniques include:

  • Change Data Capture: It accelerates updates by capturing live data changes and applying them to repositories and applications rather than transferring actual datasets. ETL systems work on CDC and enterprise application integration.
  • Data Replication: Based on business requirements or priority, full or partial data replication are possible in on-premise and cloud systems. You can transfer data on demand, in bulk or batches, or write to target databases in real time.
  • Data Virtualization: Instead of combining data, the system collates datasets’ information in a unified virtual layer that functions as an index. It points to the location where the dataset is housed while abstracting you from how the system stores and formats it. A subset of virtualization, data federation enables two databases to present as one, whether on-premises or cloud-based.
  • Extract, Transform and Load: ETL involves data gathering, structuring and transformation before loading into the target storage.
  • Extract, Load and Transform: An improvement on ETL, this technique uploads unstructured data into storage for at-will processing. Data lakes store structured and unstructured data types.
  • Streaming Data Integration: This technique is the answer to ETL’s periodic batch updates. It’s a constant flow of data to which multiple clients can subscribe at a time without impacting the source. Data producers and consumers can join and leave the stream at will, making it a horizontally scalable system.

Primary Benefits

Data integration software’s benefits extend beyond ETL and data warehousing.

Let’s look at a few.

Data Integration Software Benefits

Gain a Competitive Edge

Efficient data integration improves data analytics quality in your organization. Modern data integration does away with manual information gathering, letting you focus on using numbers rather than entering them. Streamlined operations enhance company productivity and performance, building customer trust and brand reputation.

Siloed organizational systems hurt your business more than you realize. For instance, if your Microsoft Dynamics ERP doesn’t share data with your Salesforce instance, you could be losing out on valuable insight. Data integration combines this information, giving you a 360-degree perspective to analyze performance and make better business decisions.

Many data integration tools provide issue-reporting so you can track and repair data issues in real time.

Connect to Sources Faster

Modern data integration tools help you connect faster to sources with built-in connectors. You can add new sources as they become available with custom connectors and control them through a centralized console.

Even with the technical debt of legacy systems, software-based data integration frameworks are easy to build, not always expensive and require primary coding skills. You can be up and running in no time, speeding up the time to insight.

Get Valuable Insights

Manually combining data from various sources is tedious, time-consuming and error-prone. Besides, data becomes outdated by the time you get the results. With modern data integration software, almost no data gets left behind, uncovering hidden insight.

Having all your data in one place gives you a single reference point and eliminates duplicate data. Automated workflows review and organize datasets to ensure they’re accurate and updated, reducing the chance of errors. Whether generating reports or building applications, all information is at hand.

Collaborate

B2B application integration facilitates client collaboration on projects. By giving them controlled access to desired data, you can invite instant feedback and have meaningful discussions around key metrics. Faster turnaround translates to an agile product delivery pipeline, optimizing your resources and creating a pleasant client experience.

A reliable data integration framework is part of industry best practices and can build lasting customer relationships.

Key Features & Functionality

ExpertMarketResearch predicts that the data integration software market will grow to $20.13 billion during 2021-2027.

Data Integration Market Summary

While data integration software vendors advertise their newest, shiniest features, identifying your basic functional requirements early on sets a sound foundation for your software selection search.

Ubiquitous Deployment

The data integration platform should combine data from various systems, whether on-premise or in the cloud. Data integration between business applications should be seamless, irrespective of their deployment.

Data Source Connectivity

The solution should access relational, columnar, in-memory and NoSQL databases, OLAP systems, Hadoop and other big data platforms. Draw data from flat files, including CSVs, spreadsheets, enterprise messaging systems, XML and JSON.

It should incorporate data from business applications like ERPs and CRMs, web services, mobile applications, SaaS applications, social media sites, emails, images and videos.

Enterprise Application Integration

Acquire rich insight by simplifying data flow between applications. Automate cross-platform data movement — no need to transcribe data across apps manually.

EAI enables customization of OS, data formats and languages to ensure compatibility across applications.

Master Data Management

The solution should facilitate fast data access by allowing data quality and usage management. Data integration centralizes all business data, deletes duplicates and keeps all information updated. Improves business operations and reduces risk by identifying inefficiencies and blockers.

Data Quality Management

Make data-backed business decisions with consistent access to complete, accurate and up-to-date information. Build trust in employees and clients and inspire confidence in business intelligence reports and analytics results.

Discover data quality issues, risks and overall trends through data profiling. Uncover metadata, key relationships and functional dependencies that impact your business.

ETL/ELT

Transform and map all data types into analysis-ready statistics with data munging, aggregation, visualization and modeling. Or load them into data warehouses and lakes to be cleansed and prepared when needed.

Self-Service Capabilities

Data integration tasks are no longer limited to data scientists alone with a no-code approach. Visual workflows and automation enable self-service data integration. Business teams are no longer dependent on data scientists, enabling faster decision-making.

With automated workflow templates, anyone can learn how to build a data pipeline in minutes.

Performance and Scalability

The solution should be highly performant and available, with failover and redundancy mechanisms. It’s scalable if you can add new data sources as they become available, especially when your business grows.

Software Comparison Strategy

Every business has a unique set of needs. Create a requirements checklist of the features your company requires. Once you have a clearer idea of what you want in a reporting platform, compare applications and vendors with our software comparison report.

Cost & Pricing Considerations

The cost of an enterprise reporting tool can make or break your purchase decision. Check pricing details on the vendor’s website or reach out to them for a quote. Additional user seats and storage will cost you extra for capacity-based pricing plans. Plus, add-ons can add to the overhead.

Ask if the vendor provides implementation support and on what terms. Check if they offer email, chat and phone support within the product price.

Get our free pricing guide to determine which top data integration software vendors align with your budget.

The Most Popular Data Integration Software

Sifting through the various data integration tools available in the market is time-consuming but essential. You can start by checking out the software list on our analytics leaderboard, curated by the SelectHub analyst team. It ranks the best data integration software based on how well they deliver on the essential requirements.

IFTTT

It’s a data integration service that allows you to connect to over 630 apps through integrations — applets — on desktop and mobile. The vendor provides webhooks services to create and receive updates from your favorite applications.

Popular IFTTT webhook integrations include Discord YouTube WebHook Integration and Discord Twitter Webhook Integration. You can also connect IFTTT to Siri through webhooks using the Shortcuts app on your iPhone.

IFTTT

App Integrations Are Available on Desktop and Mobile.

Board

It’s a business intelligence and analytics tool from Board International. The vendor provides a zero-programming environment that allows developers to build applications without building a single line. ETL is fully interactive and requires no coding. The vendor organizes data governance and warehousing workshops for clients.

Board

Build Latest Performance Dashboards With Data Integration.

Domo

It’s a business intelligence and analytics solution with data integration capabilities. More than 1000 built-in connectors enable wide-ranging connectivity to manipulate, transform and aggregate data for company-wide insight. You can move data across systems with writeback connectors and APIs, including ODBCs.

Domo integrates with cloud data warehouses to provide flexible storage, caching, querying and analytics. You can create apps to activate and automate workflows.

Domo

Data Integration Software Shows the Latest Results.

 

 

Questions to Ask

While assessing your organization’s internal needs, asking the right questions of key stakeholders can give you valuable insight into what they want in a data integration tool.

Data Integration Key Questions To Ask

Use these questions as a starting point for internal conversations.

  • What are the gaps in your current data integration framework?
  • Which data sources do you need to connect to, and where are they housed?
  • What kind of data do you need to analyze — transactional or operational?
  • How much data will your company need to move and how fast?
  • Which deployment model would you prefer — on-premise, cloud or hybrid?

When considering data integration software options, you might not need all the attractive features on offer. The platform might match your primary requirements and fit your budget but lack a must-have feature. If you plan on adding it later in-house, factor in the cost of IT resources to assess if it’s worth the trouble.

If the price is more or less comparable with an advanced solution with the desired functionality, it might make more business sense to buy this solution instead.

Asking discerning questions about the software and vendor services at the onset can help you answer these and many other lingering doubts in your mind.

Use these questions to start conversations with data integration vendors.

  • Is the software compatible with your tech stack?
  • Is data management part of the software package?
  • Is the solution user-friendly? Is there a central management console where team administrators can manage data integration across sources and targets?
  • Does the vendor provide training, documentation and support post-implementation?
  • Do they have a reputation for delivering competitive data integration solutions?

In Conclusion

Searching for a suitable data integration solution requires deep knowledge of your organization’s business goals with critical analysis skills to conduct market research. This buyer’s guide intends to equip procurement managers with research tips and sufficient domain knowledge to start their software search.

IFTTT

User Sentiment:
User satisfaction level icon: excellent

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.

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Board

User Sentiment:
User satisfaction level icon: great

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.

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Domo

User Sentiment:
User satisfaction level icon: great

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.

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Mathematica

User Sentiment:
User satisfaction level icon: excellent

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.

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Stata

User Sentiment:
User satisfaction level icon: great

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.

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Redshift

User Sentiment:
User satisfaction level icon: great

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.

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SQL Server Integration Services

User Sentiment:
User satisfaction level icon: great

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.

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AWS Glue

User Sentiment:
User satisfaction level icon: great

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.

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Talend

User Sentiment:
User satisfaction level icon: great

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.

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Sisense

User Sentiment:
User satisfaction level icon: great

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.

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Azure Data Factory

User Sentiment:
User satisfaction level icon: great

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.

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Sisense For Cloud Data Teams

User Sentiment:
User satisfaction level icon: great

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.

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BusinessObjects

User Sentiment:
User satisfaction level icon: great

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.

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Dataflow

User Sentiment:
User satisfaction level icon: great

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.

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Infor Birst

User Sentiment:
User satisfaction level icon: great

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.

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ibi

User Sentiment:
User satisfaction level icon: great

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.

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SnapLogic

User Sentiment:
User satisfaction level icon: great

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.

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Fivetran

User Sentiment:
User satisfaction level icon: excellent

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.

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Jaspersoft

User Sentiment:
User satisfaction level icon: good

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.

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Informatica PowerCenter

User Sentiment:
User satisfaction level icon: excellent

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.

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Exago

User Sentiment:
User satisfaction level icon: excellent

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.

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Pentaho Data Integration

User Sentiment:
User satisfaction level icon: good

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.

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Phocas

User Sentiment:
User satisfaction level icon: excellent

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.

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TARGIT

User Sentiment:
User satisfaction level icon: great

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.

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Xplenty

User Sentiment:
User satisfaction level icon: great

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.

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Logi Symphony

User Sentiment:
User satisfaction level icon: great

Logi Symphony (formerly Logi Analytics) provides businesses with interactive data analytics and visualizations, offering advanced reporting and visualization features in a minimal-code environment. It offers self-service data analysis and data discovery; then connects and blends operational intelligence to prepare it; and finally lets users turn it into dashboards, reports and other visualizations.

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Hevo

User Sentiment:
User satisfaction level icon: excellent

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.

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SAP Data Services

User Sentiment:
User satisfaction level icon: great

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.

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Grow

User Sentiment:
User satisfaction level icon: excellent

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.

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ClicData

User Sentiment:
User satisfaction level icon: excellent

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.

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InfoSphere Information Server

User Sentiment:
User satisfaction level icon: good

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.

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Oracle Data Integrator

User Sentiment:
User satisfaction level icon: great

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.

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Dundas BI

User Sentiment:
User satisfaction level icon: great

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.

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Qlik Data Integration

User Sentiment:
User satisfaction level icon: great

Qlik Data Integration is a suite of end-to-end data management solutions that deliver analytics through orchestrated workflows. Qlik Replicate, Qlik Enterprise Manager (QEM), Qlik Compose, Qlik Catalog and Gold Client constitute the integration suite. A DataOps approach enables real-time information discovery through automated streaming and change data capture (CDC).Citizen data scientists integrate assets and manage data pipelines through role-based interface access. Custom design modules empower solution architects and designers to create more robust interfaces.

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SAS Data Management

User Sentiment:
User satisfaction level icon: great

SAS Data Management integrates business information to support ETL workflows and product development. Businesses can create and define rules for data access across networks, the cloud and legacy infrastructure. The vendor offers data manipulation and transformation with collaboration management, impact analysis, batch updates and more. A free trial is available.

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Lumada Data Integration

User Sentiment:
User satisfaction level icon: great

Part of the DataOps Suite, Lumada Data Integration deploys data pipelines at scale. Drawing large, complex assets from data lakes and warehouses, teams can orchestrate data flows across environments. Automated data integration and a high-performance transformation engine deliver assets for reporting and analysis.

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