Best Data Management Tools
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PRODUCTS
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BUYER'S GUIDE
Buyer's Guide
By Payal Tikait, Technical Content Writer] at SelectHub
Data is a powerful resource that requires effective harnessing to understand. With data management tools, organizations can store, manage and leverage big data for business intelligence and analytics purposes.
Executive Summary
- Data management tools extract, integrate and manage data from different sources without compromising data integrity.
- They offer robust features such as data ingestion and preparation, risk management and workflow automation.
- They provide three pricing models that include tiered, pay-per-user and one-time license.
What Is Data Management Software?
Data management software collects, cleans, transforms and integrates data into a centralized location for easy access. It leverages ETL processes to extract, integrate, refine and visualize data.
Primary Benefits
Boost Visibility
Data management tools boost asset visibility so users can find accurate data for analysis. They also increase organization and improve overall productivity.
Scale With Reliable Tools
Establishing robust processes and policies for data usage can help users minimize errors, access up-to-date information and build trust. With reliable information at hand, companies can respond to market fluctuations and customer demands efficiently.
Data management platforms also allow organizations to scale and handle dynamic business requirements.
Ensure Security
These systems protect organizations from data thefts, losses and breaches through authentication and encryption tools. Implement stringent security measures to safeguard vital information from unauthorized access.
Key Features & Functionality
Data Preparation | Leverage context-based suggestions and machine learning capabilities to clean and prepare data. Automate the cleaning process to highlight errors and outliers while categorizing measures and dimensions. |
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Data Quality | Maintain data quality by identifying missing information and replacing it with suitable values. Find and remove outliers for precise analysis. |
Risk Management | Employ controlled procedures to access, integrate and store data throughout its journey while minimizing risks. |
Workflow Automation | Leverage trigger-based features like job scheduling to automate repetitive tasks and optimize the data management process. |
Data Ingestion | Ingest data from various sources, including data lakes, IoT devices, on-premise databases, cloud data warehouses, SaaS applications and more. |
Software Comparison Strategy
Consider the following factors while selecting big data management tools:
Size and Complexity
Take the size and complexity of the organization into account before investing in a data management platform. Operations that process huge data volumes daily will need a complex system to manage, protect and access their information.
Solutions such as Informatica PowerCenter, SAS Data Management and SAP Data Services can help manage big data with features like data extraction, transformation, manipulation and storage capabilities for structured and unstructured data.
Data Security
Choose a solution that provides a higher level of security and access control. It is vital to protect sensitive information from malicious access, corruption or theft. Implement data protection strategies to safeguard information assets against cybercriminal activities, human error and internal threats.
Automation
Look for a solution with built-in automation and quality control capabilities such as metadata capture and classification, anomaly detection and more. Automated data management allows you to access real-time insights for faster decision-making and better cost-to-benefit ratios.
Cost & Pricing Considerations
Vendors offer the following pricing models for data management solutions:
Tiered
Vendors often break down their pricing into two or more levels starting with a basic or free version and expanding to an enterprise level. Enterprise-level solutions come with higher prices and cater to a large number of users. They may also include additional plugins or customizable options.
A tiered model is suitable for businesses hoping to scale in the near future that need to estimate accurate budget costs.
Pay-Per-User
As the name suggests, pay-per-user pricing models allow vendors to charge based on the number of users using the solution.
One-Time License
A one-time license is common for enterprises. Users pay a flat fee upfront or choose monthly installments. Vendors may break down the costs into different levels like the tiered pricing model.
The Most Popular Data Management Software
Let’s look at the top data management tools:
Infor Birst
InforBirst is a cloud-based analytics platform that automates the complex process of creating enterprise-wide data models and warehouses. It ingests data from multiple sources to create standardized dimensional models. It aggregates and optimizes data to perform advanced analysis.
Leverage data warehousing capabilities such as custom time hierarchies and snapshotting with a single click.
Intuitive visualizations created in Infor Birst.
SAP Analytics Cloud
SAP Analytics Cloud is an augmented analytics solution that cleans and enhances data and reveals relationships, hidden patterns and outliers through machine learning algorithms. Provide context-based suggestions for data preparation and visualization. Leverage real-time data across business networks to uncover opportunities and minimize costs.
HR metrics on an SAP Analytics Cloud Dashboard.
Qlik Sense
Qlik Sense is a data analytics solution that combines data from multiple sources, including files, spreadsheets, databases, websites, big data lakes, and cloud-based and on-premise applications, into a centralized location. It automates and optimizes data warehouse creation and operation. Generate end-to-end workflows from data ingestion to report generation.
Add calculated fields in the table editor in Qlik sense.
Questions to Ask
Use these questions as a starting point for internal conversations:
- What level of security do we need?
- What data types do we store and analyze?
- What are the company's current and future priorities and objectives?
- Who will use the system? What are the basic features required?
- Do we need a solution that’s compatible with the existing data infrastructure?
Use these questions as a starting point for conversations with the vendor:
- Does the solution provide end-to-end data visibility?
- What big data sources does it integrate with?
- Can it render built-in analytics capabilities?
- Does the vendor support different media forms for long-term data preservation?
- What do the support services include?
In Conclusion
Most organizations know the importance of data, but they fail to implement a comprehensive data management tool that can harness information for business advantages. It is imperative to select a system based on specific requirements to improve process efficiency and mitigate compliance risks.
Products found for Data Management Tools
Hadoop
Apache Hadoop is an open source framework for dealing with large quantities of data. It’s considered a landmark group of products in the business intelligence and data analytics space, and is comprised of several different components. It functions on basic analytics principles like distributed computing, large data processing, machine learning and more. Hadoop is part of a growing family of free, open source software (FOSS) projects from the Apache Foundation, and works well in conjunction with other third-party products.
Tableau Big Data
Tableau is a data visualization platform that can perform big data analytics. Users can leverage well-known frameworks such as Apache Hadoop, Spark and NoSQL databases to meet their data needs. It simplifies the management, sorting and analysis of information through a single, digestible dashboard. Businesses can incorporate data from all sources and visualize it in a myriad of ways to acquire insights. The vendor offers three versions — Tableau Online, Tableau Desktop and Tableau Server.
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.
Cloudera
Cloudera is a multi-environment analytics platform powered by integrated open source technologies that help users glean actionable business insights from their data, wherever it lives. With an enterprise data cloud, it puts data management at analysts’ fingertips, with the scalability and elasticity to manage any workload. It offers users transparency into the whole data lifecycle and the flexibility of customization through its open architecture. It is available on an annual subscription basis with three offerings: CDP Data Center, Enterprise Data Hub and HDP Enterprise Plus. Each edition offers different components and pricing varies based on computing power, storage space and number of nodes. The company merged with Hortonworks in 2019 to provide a comprehensive, end-to-end hybrid and multi-cloud offering.
BIRT
It’s an open-source project on Eclipse and is an acronym for Business Intelligence and Reporting Tools. It lets organizations extract and transform data for business analysis. Its Report Designer enables visual report-building within interactive dashboards. The runtime component executes the reports once ready. Embedded into a range of business interfaces, it enables custom design layout, data access and scripting to present report output over the web. It supports charts, crosstabs, using multiple data sources within the same report, re-using queries within reports and addition of custom code.
Zoomdata
Zoomdata (now discontinued) was an analytics and reporting tool that allowed users to explore and analyze large, complex datasets. It provided a simple, modern interface that maked data literacy attainable for users of all technical levels.It was designed to be scalable and embeddable through white labeling architecture. It was built on HTML5 and JavaScript, making it fully customizable. It aimed to expedite the processes of data exploration, visualization and analysis to help users make data-driven decisions.
Alteryx
The Alteryx platform is a suite of five products offering self-service statistical, predictive and spatial data analytics to achieve enterprise, financial and industrial intelligence. It allows users to create repeatable extract-transform-load workflows, with or without a programming language. Its scalable performance and deployment options enable analysis from the enterprise to big data levels. A drag-and-drop interface enables high-speed analytics and modeling, supported by a community of model developers in the vendor’s customer base. Depending on the products selected from the suite, it can perform end-to-end BI, from data harvesting from deep data pools to automated operationalizing.
Spotfire
TIBCO Spotfire is a complete business intelligence and data discovery platform that can perform various functions, including in-depth analysis and robust visual reporting, all powered by artificial intelligence. It offers data streaming technology, which can support insights with AI, big data integration, integration with the Internet of things (IoT) and more.
BigQuery
Google BigQuery is a serverless solution that can handle large volumes of data and apply standard and sophisticated analytics techniques to deliver actionable insights to users. It comes with a number of standard and unique inclusions to help technical and non-technical users perform analysis, deliver reports, create dashboards and generate insights.
MATLAB
MATLAB is a numerical computing and programming platform that enables users to develop and implement mathematical algorithms, create models and analyze data. Designed for engineers and scientists, it can be used for a range of purposes, including deep learning and machine learning, computational finance, image processing, predictive maintenance, IoT analytics and more. Built around its matrix-based programming language, it can help users run analyses on large data sets as well as design and rigorously test models. It is available through on-premise installation on Windows and Mac. For eligible licensees, there is also a SaaS version accessible through a web browser. Users can purchase it under a perpetual or annual license, with discounts for academic institutions. For individuals not associated with government agencies, private companies or other organizations, there is a less expensive home license for personal use. Students can purchase a student license for a version designed for coursework and academic research. Early-stage technology startups can apply for startup-friendly pricing and opportunities.
Ezoic
Ezoic is an analytics-based advertisement testing and web optimization platform. It utilizes the concepts of big data and machine learning to learn how users engage with content and how to improve revenue. With deep revenue breakdowns, ad and layout testing, Google AMP converting and speed acceleration, it has several avenues for optimizing a site’s web presence and value. It links with more than 10,000 advertisement networks and is a partner with Google to maximize advertising options.
SAP HANA
SAP HANA is the in-memory database for SAP’s Business Technology platform with strong data processing and analytics capabilities that reduce data redundancy and data footprint, while optimizing hardware and IT operational needs to support business in real time. Available on-premise, in the cloud and as a hybrid solution, it performs advanced analytics on live transactional data to display actionable information. With an in-memory architecture and lean data model that helps businesses access data at the speed of thought, it serves as a single source of all relevant data. It integrates with a multitude of systems and databases, including geo-spatial mapping tools, to give businesses the insights to make KPI-focused decisions.
Panoply
Panoply is a fully-integrated data management platform that syncs, stores, organizes and analyzes data from many sources. It enables the use of search query language to explore data, then analyze and visualize it through its robust integration capabilities. Accessible anywhere via the cloud, it combines data warehousing, AI-powered data processing and a variety of integrations to provide a user-friendly data analysis infrastructure.
GoodData
GoodData is a powerful, embeddable, customizable SaaS solution that combines, analyzes and visualizes the internal and external data of an organization to help businesses change the way they make decisions, with a focus on data-driven best practices. It lets users process data, analyze trends and create visualizations that present information in an easily-digestible format. Users can interpret these visualizations to draw insights and make intelligent business decisions.
RapidMiner
The RapidMiner platform is a cloud-based series of data intelligence offerings, capable of all layers of a big data ecosystem. It can work with structured and unstructured data alike, preparing, blending, analyzing and visualizing it. It utilizes a code-free interface for designing big data workflows and integrations, capable of the complete data science life cycle. It can achieve top-level analytics like machine learning and predictive modeling. Its cloud deployment comes in managed or on-demand options. It has open-source and commercial versions.
Spark
Apache Spark is an open source unified analytics software for distributed, rapid processing. It distributes data across clusters in real time to produce market-leading speeds. It is rising in popularity in the space, catching up to its sister-offering, Hadoop, because of its quicker speeds and specific focus on optimizing processing performance and ability to stream data. It supports several coding languages, including Python, R, Scala, SQL and Java. It can function stand-alone, or be integrated into broader workflows easily.
Hortonworks
Hortonworks Data Platform is an open-source data analysis and collection product from Hortonworks. It is designed to meet the needs of small, medium and large enterprises that are trying to take advantage of big data. The company was acquired by Cloudera in 2019 for $5.2 billion. HDP has a number of features that help it process large enterprise-level volumes, including multi-workload processing, batch processing, real-time processing, governance and more.
Confluent
Confluent is a cloud-native data streaming platform for data storage and management. It integrates Apache Kafka with other systems and offers pre-built connectors for other sources. Users can get the most out of Kafka with real-time data flows and processing. Enterprise-grade security protects data, and automated monitoring detects potential problems. Processing is continuous, so data moves in real time and reaches the users who need it. Pipelines can be built and managed in a simple graphical interface with multiple programming languages supported.
MicroStrategy
MicroStrategy is a data analytics platform that delivers actionable intelligence to organizations of all sizes. It allows users to customize data visualizations and build personalized real-time dashboards. It leverages data connectivity, machine learning and mobile access to offer users comprehensive control over their insights. Due to its ease of use and scalability, it stands out as a leader in the enterprise analytics field. Users can choose between cloud, on-premise or hybrid deployment according to their needs.
QlikView
QlikView is a data discovery and customer insight platform from Qlik, a leader in the insight and intelligence space. However, it is not available for purchase any longer. Qlik Sense, Qlik’s next-generation offering, is available for new customers. It offers self-service data that can help drive decisions and generate significant ROI for technical skill level users. It’s built from the ground up to be affordable, scalable and adaptable. It can ingest data from diverse sources like big data streams, file-based data, and on-premise or cloud data. It is well-known for its data associations and relationship functionality, keeping data in context automatically. It delivers results quickly via its patented in-memory data processing module, processing data down to as little as 10% of its original size.
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.
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.
KNIME
KNIME is an open-source end-to-end data analytics solution. It utilizes visual workflows with drag-and-drop functionality and thousands of nodes to lessen the data analytics learning curve data, with more than 1,800 prebuilt default workflows for streamlined setup. It allows for data ingestion, preparing, cleansing, analyzing and visualizing. It can be scaled for deeper analytics through integrations with sophisticated data modeling capabilities. It can be hosted on-premise or in the cloud through Microsoft Azure.
Airflow
Airflow is an open-source Python framework that allows authoring, scheduling and monitoring of complex data sourcing tasks for big data pipelines. Aligned with the DevOps mantra of “Configuration as Code,” it allows developers to orchestrate workflows and programmatically handle execution dependencies such as job retries and alerting. Through the use of Directed Acyclic Graphs (DAGs), developers can customize pipeline processes as needed by using multi-step workflows. They can run part of the workflow at any time, even when tasks are being updated in real time. Besides out-of-the-box integrations with MySQL, Microsoft Server and SaaS platforms, it also provides custom connections to plugins. Robust and flexible, it is free to download for all users.
Vertica
Vertica is an analytics and data exploration platform designed to ingest massive quantities of data, parse it, and then return business insights as reports and interactive graphics. Elastically scalable, it provides batch as well as streaming analytics with massively parallel processing, ANSI-compliant SQL querying and ACID transactions. Deployable in the cloud, on-premise, on Apache Hadoop and as a hybrid model, its resource manager enables concurrent job runs with reduced CPU and memory usage and data compression for storage optimization. A serverless setup and advanced data trawling techniques help users store and access their data with ease.
Qlik Sense
Qlik Sense is a self-service data analytics software that enhances human intuition with the power of artificial intelligence to enable better data-driven business decisions. It allows organizations to explore their data and create intuitive and compelling visualizations from data insights with drag-and-drop simplicity. As the next-generation advancement of QlikView, released in 2014, it expands analytical possibilities to support the entire insights life cycle and helps businesses modernize their approach to intelligence. It has two editions: Business and Enterprise, offered on a per account annual subscription. Enterprises can choose between a hosted SaaS public cloud or multi-cloud, on-premise or private cloud deployment. Qlik Sense Business comes with a free 30-day trial. Its desktop version is available for free for personal use.
IBM Watson Analytics
IBM Watson is an AI-augmented data science solution that enables employees to harness the power of proprietary data, unlock its potential and apply insights gained from it in new ways. It offers a wide variety of customizable modules for lifecycle management, data applications, APIs and industry-focused specializations.
Qubole
Qubole is a cloud-based data lake management solution that enables fast data lake adoption for businesses. It allows continuous collaboration by ingesting and processing continuously generated data. Connect to a variety of structured and unstructured data sources and perform ad hoc and streaming analytics, build and test machine learning models and explore data.Explore, build, orchestrate and deliver data pipelines with ease while minimizing cost and maximizing performance. Users can choose a data format best suited to their workflow. It includes a centralized workspace, development tools, an inbuilt notebook environment and extensive integrations to provide end-to-end service with near-zero maintenance.
Azure Databricks
Azure Databricks is a unified big data analytics platform that provides data management, machine learning and data science to businesses through integration with Apache Spark. Integrating with a host of data sources, it pulls data from a wide variety of sources, transforms and then analyzes it through visualizations. In addition to setting up ETL flows, it empowers enterprises to create data models for predictive analysis, forecasting and future planning. The vendor offers three workloads based on the stages of analytics workflows — Jobs Compute and Jobs Light Compute for data engineers, and the All-Purpose Compute workload for data scientists.
Ayasdi
Owned by the SymphonyAI Group since 2019, Ayasdi is a machine intelligence platform that leverages statistical calculations and mathematical algorithms to deliver analytics to enterprises. It helps businesses connect the dots by segmenting complex, related datasets into groups through topological data analysis (TDA). Organizations can detect financial risk areas and fraud through automated machine learning workflows, and uncover previously undiscovered patterns and risks.Its sequential data processing and augmented analytics inclusions enable healthcare providers to create consistent patient care strategies. Running on Linux and Hadoop, it can be deployed on premises or in the cloud as a Software-as-a-Service (SaaS).
Actian
Actian is a cloud data management platform that enables data integration with fully managed warehousing, transformation and analytics for enterprises. It integrates with various cloud-based and on-premise technologies and services. With massively parallel processing and data compression on the back end, its embedded analytical engine works in tandem with a robust RDBMS, complementing its computing with built-in user-defined functions to process online transactions at scale.Part of the Cloud Security Alliance, the vendor consistently updates their best practices to ensure the security of its cloud services. It offers a 30-day free trial. Pricing is available on request.
1010data
1010data is a market intelligence and enterprise analytics solution that helps track consumer insights and market trends. In addition to vendor-critical insights, it provides brand performance metrics to buy-side entities. Seamlessly embeddable, it can also function as a standalone private-label option. Data scientists and statisticians leverage its integration with R to view and query data tables.It enables analytics development through its QuickApps framework. By tracking consumer spending trends and brand performance, it enables businesses to better position their products in the marketplace.
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.
Apache Arrow
Apache Arrow is an open-source software development framework for building high-performing data analytics applications that process large, complex data sets. With an in-memory columnar format for data storage, it provides a query execution language that helps define the framework for analytics libraries. Language-agnostic due to easy translation, it acts as an interface between a wide range of programming languages and technologies.With a modern CPU architecture based on the single instruction, multiple data (SIMD) taxonomy, it processes data at lightning speeds. Its zero-copy design makes moving data round faster and more efficient.
Essbase
Oracle Essbase is an Online Analytical Processing provider for businesses to develop complex models of their activities that result in actionable insight. It can scale from simple ad-hoc queries to extensive, repeated multidimensional aggregations and present the results in a usable form. Through both retrospective and predictive analysis, business owners can maximize efficiency and profitability by turning data sources throughout the enterprise into usable information. It is configurable to an organization’s ongoing data needs.
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