Effective data management makes data relevant, easy to find, and ready to use. In fact, individuals generate about 408.22 quintillion bytes of data daily in 2024. For comparison, it’s over 2x more than in 2020. As data volume grows, more businesses struggle to understand what data they have, how it’s used, and who owns it. Based on a Capital One study, 76% of organizations found it difficult to manage their data due to a lack of proper cataloging and governance.

So, how can a business handle so much data from different sources? The answer lies in the use of robust data management tools. In this article, we’ll look at the best options in 2024, their pros & cons, and pricing. Let’s start our review to help you choose the best data management software for your business.


Quick Facts: Data Management System Trends

  • As of June 2024, the most used database management platform in the world was Oracle. MySQL and Microsoft SQL Server are in the top 3.
  • 61% of businesses find managing data in multi-cloud environments their biggest challenge. Hybrid clouds are 2nd by complexity, with 57% of respondents indicating this.
  • The market for master data management applications will increase by $20.29 billion at a CAGR of 16.72% between 2023 and 2028. The leaders here are Informatica, Oracle, Qlik, and SAP.
  • On average, 45% of enterprises use multiple data management tools to perform one function. For example, almost 1 in 2 businesses use at least two applications for backup/recovery and data classification.

What is Data Management Software?

Data management software is a set of tools designed to manage, store, organize, and retrieve data. These programs help businesses handle vast amounts of data, ensure its quality, and make it accessible for analysis.

Today, the data management tools are available in various types of programs:


Database management platforms

This software provides an interface to manage databases. It allows for data creation, retrieval, updating, and deletion.
Examples: MySQL, Microsoft SQL Server, Oracle Database

Data integration tools

These tools help combine data from different sources into a unified view. They are essential for ETL (Extract, Transform, Load) processes.
Examples: Talend, Apache NiFi, Microsoft SQL Server SSIS

Data quality tools

These programs ensure data accuracy, consistency, and reliability by cleaning and validating it.
Examples: Informatica Data Quality, SAP Data Quality Management

Master data management programs (MDM)

MDM software manages an organization’s critical data to provide a single point of reference. These tools ensure consistency and accuracy across the enterprise.
Examples: Informatica MDM, SAP Master Data Governance, IBM InfoSphere MDM

Data governance tools

These tools help establish policies and procedures to manage data assets. They ensure compliance and data security.
Examples: Collibra, Alation, IBM Data Governance

Data warehousing solutions

These programs store and manage large volumes of structured data for analysis and reporting.
Examples: Google BigQuery, Amazon Redshift, Snowflake

Data analytics and visualization tools

These tools analyze data and present it in a visual format, making it easier to identify trends and make forecasts. They often include advanced analytics capabilities, such as predictive modeling, machine learning, and AI.
Examples: Power BI, Tableau, Qlik Sense

Besides core functionalities, modern data management tools often include:

  • Sensitive info protection
  • Compliance with regulations such as GDPR, HIPAA, and CCPA
  • Automated backup and recovery options
  • Shared access to data and real-time data-sharing capabilities
  • Cloud-based or on-premise deployment options

All in all, data management tools are a go-to choice to prevent data loss and integrate it with existing workflows.

Top 16 Data Management Tools List

Data management is more and more integrated with business needs. Today, AI functions, support for cloud environments, and low- or no-code data development are already a standard part of this field. Here are some top data management tools available today:


Informatica MDM




SAP Master Data Governance


IBM InfoSphere






Microsoft SQL Server SSIS




Apache Nifi


Dell Boomi


Power BI




SAP Datasphere







Now, let’s examine data management software examples in detail.


Informatica Master Data Management

Informatica data management tools

Rating: 4.2 (388 Reviews)
Price: By request; free trial for 30 days

Informatica MDM is one of the best master data management tools with AI features and low-code/no-code development. As a part of Intelligent Data Management Cloud (IDMC), it provides a range of complementary services. Based on your data type, you can work with customer, product, supplier, finance, or reference 360 products.

Informatica Master Data Management features include:

  • On-premises, public cloud MDM SaaS, and multi-cloud environments
  • AI for data mastering, integration, and governance
  • Prebuilt industry accelerators for insurance, finance, life sciences, and healthcare
  • Automated merging and trustworthiness for survivorship
  • Data governance and metadata-driven machine learning integration

Informatica MDM is ideal for enterprises that need robust data management solutions. All in all, it is a great choice for quick time to value and ease of configuration for both standard and advanced deployments.


Flexible deployment options across various environments

Not suitable for small business

Enhanced data processes with AI

Non-flexible pricing models

Prebuilt accelerators for key industries

Intuitive and simple user interface


Oracle Enterprise Data Management Cloud

oracle data management tools

Rating: 4.2 (36 Reviews)
Price: By request

Oracle is a cloud data management platform for enterprises with real-time collaboration. Users can connect both Oracle and non-Oracle business apps. This tool allows visual comparison of business perspectives, lists, or hierarchies side-by-side. Here, you can browse, filter, and download detailed change histories, as well as manage requests and submissions.

Oracle Enterprise Data Management Cloud provides:

  • Synchronization with REST API
  • Access control based on roles and data permissions
  • Static and dynamic approval methods
  • Audit of data and metadata changes
  • Activity tracking and automated workflow
  • Visualization dashboards

The solution is on offer to enterprise customers, but Oracle also provides product master data management tools as an alternative.


Simplified rich user interface

Complexity of configuration

Visualization and complex data management

Lower performance with non-Oracle products

Packaged cloud app integration


SAP Master Data Governance

sap mdm data management tools

Rating: 4.4 (215 Reviews)
Price: $1,044/year or pro-rated per month per block of 5,000 objects; 30-day free trial

SAP Master Data Governance (MDG) provides comprehensive tools for data management available on SAP S/4HANA or in the cloud. You can manage master data or create, change, and distribute it across your enterprise system. SAP MDG offers customer, supplier, material, financial, retail, and technical data solutions.

SAP MDG has the following features:

  • Modular approach enabling federated master data governance
  • On-premise, private, and public cloud deployment
  • Automated workflow routing, dynamic scaling, and notifications
  • Sync options, enrichment sources, and audit trails
  • Support for all master data domains and implementation styles
  • Prebuilt data models, business rules, workflows, and user interfaces

SAP MDG suits finance, retail, manufacturing, and supply chain enterprises.


Mature, governed, and compliant multidomain MDM

Lack of native lineage capabilities

Strong support for compliance standards and automated validations

Lagging AI

Pricing flexibility, tiered and deployment-based

Potential integration challenges with non-SAP systems

Provides dynamic scaling, sync options, and audit trails

Not suitable for small business


IBM InfoSphere Master Data Management

ibm infosphere data management tools

Rating: 4.5 (103 Reviews)
Price: By request; cloud plans start at $31,000/month

IBM InfoSphere complements analytics, data science, and AI services. These customer data management tools accelerate insights with near real-time consolidation. IBM InfoSphere delivers self-service data access with role-based control capabilities. Here, you can handle data governance, quality, and harmonization in one solution.

InfoSphere MDM features include:

  • Centralized management of business data from across the enterprise
  • Graph database capabilities for master, transactional, and Hadoop data
  • Virtual MDM
  • Functional dashboard with intuitive user interfaces and summary views
  • Data caching with IBM Master Data Connect
  • Policy management workflows that support data stewardship and governance

IBM InfoSphere is the go-to solution for enterprises. However, it is not suitable for small businesses with limited data.


Flexible deployment on-premises and on IBM-managed cloud services

Limited data intelligence

Complements data management, analytics, data science, and AI services

Complicated pricing due to a mix of consumption, storage, and compute

Accelerates insights with near real-time data consolidation

Limited reference data sources for data enrichment

Offers role-based access control

Limited traceability of data transformations

Suitable for large companies with complex ecosystems

Lack of automation


Collibra Data Governance

collibra data management tools

Rating: 4.4 (154 Reviews)
Price: By request; 20-day free trial

Collibra is a leader in data governance solutions. It offers four main features: Business Glossary, Policy Manager, Reference Data, and Collibra Assessments. In Business Glossary, users can manage asset types, attributes, taxonomy, and relations. It also provides reporting, traceability, comments, and workflows.

Policy Manager helps adopt, install, and track digital policies. The Reference Data app offers a systematic approach with codes and values to control inputs. Collibra Assessments enable tests using Privacy-packaged templates to check data-related risks.

Collibra Data Governance features include:

  • Business glossary for terminology, rules, and regulations
  • Access control based on roles and responsibilities
  • Reference data management
  • Centralized policy management
  • Automated incident workflows for data issue resolving
  • Metadata documentation

Collibra is an excellent choice for organizations needing software data management. It is ideal for businesses managing data policies and assessing data risks.



Too technical user interface

Automated workflows

Custom connection issues

Business-driven collaboration

Manual lineage documentation


Azure Data Factory

azure data management tools

Rating: 4.6 (77 Reviews)
Price: $1 per 1,000 runs; available free $200 credit to use within 30 days

Azure Data Factory offers a range of cloud data integration capabilities. It includes managed SSIS for migrating SQL Server projects to the cloud and serverless data pipelines. Clients can construct code-free ETL (extract, transform, and load) and ELT (extract, load, and transform) processes. Last but not least, its data management products provide business insights with Azure Synapse Analytics.

Azure Data Factory includes:

  • Over 90 built-in, maintenance-free connectors, like Amazon Redshift, Google BigQuery, HDFS, Oracle Exadata, Teradata, Salesforce, Marketo, and ServiceNow
  • Bandwidth up to 5 Gbps
  • Pipeline performance orchestrating, monitoring, and management
  • Rehosting of SQL Server Integration Services to build ETL and ELT pipelines code-free

Azure Data Factory is suitable for businesses that need to transform and move data.


Code-free environment

Complex setup

Comprehensive connectors support

Low granularity of errors, which makes fixes difficult

Unified monitoring dashboard


SQL Server Integration Services

sql server data management tools

Rating: 4.4 (1,938 Reviews)
Price: $0.375/hour+

Microsoft SQL Server SSIS is a platform for building enterprise-level data transformation and integration solutions. With SSIS, you can handle data migration, warehousing, and processing.

Microsoft SQL Server SSIS features include:

  • Extract, transform, and load (ETL) capabilities
  • Data flow tasks for data extraction and transformation
  • Control flow tasks for workflow automation
  • Customizable transformations using scripts and .NET languages
  • Data cleansing and data validation
  • Error handling and logging capabilities
  • Data migration and synchronization
  • Deployment on-premises with SQL Server
  • Integration with SQL Server Management Studio (SSMS) for administration

Microsoft SQL Server SSIS is suitable for businesses that use Microsoft SQL Server and need robust ETL and data integration solutions.


Comprehensive ETL capabilities

Requires SQL Server licensing, which can be costly

Seamless integration with Microsoft SQL Server

Limited to Windows environments

Built-in error handling and logging

May have a learning curve for new users


Talend Data Fabric

talend data management tools

Rating: 4.1 (107 Reviews)
Price: By request; free trial available

Talend is a unified platform for integration, quality, governance, and data management tools. It offers a self-service app with collaborative management features. Clients can choose to work on on-premises, cloud, multi-cloud, or hybrid cloud. Also, it includes automated quality checks and browser-based, point-and-click options. Notably, Gartner named Talend a Leader for the 7th year among Data Integration Tools.

Talend Data Fabric features include:

  • Tools for ELT/ETL and change data capture (CDC)
  • Data pipelines building
  • Multifaceted search and dataset provenance and overview
  • Shared inventory between Talend Pipeline Designer and Data Preparation
  • Prebuilt connectors to more than 100 data sources
  • Support for the cloud data warehouse destinations, like Snowflake, Google BigQuery, Amazon Redshift, and Microsoft Azure Synapse Analytics
  • Scalable modular API, Data as a Service (DaaS), publish/subscribe and point-to-point messaging, ESB, and more
  • Support the entire API lifecycle
  • Automated review and indexing of all the dataset

To use Talend, an organization needs to have data engineers or coders, as it requires specialized skill sets.


Сonnection to a vast number of system types

Complex setup of some features

Intuitive user interface

Frequent patching issues

Helpful support desk


Apache Nifi

apache nifi data management tools

Rating: 4.2 (24 Reviews)
Price: Free

Apache NiFi is an open-source data integration tool designed to automate flows between systems. It provides a user-friendly interface to design data flows, track provenance, and ensure its quality. NiFi supports directed data routing, transformation, and system mediation logic graphs.

Apache NiFi features include:

  • Visual flow-based programming interface
  • Real-time data ingestion and processing
  • Built-in data prioritization and back pressure
  • Flow versioning and replay
  • Data provenance tracking
  • Big data management solutions
  • Data security options

Apache NiFi is suitable for organizations with data engineers in the team, as it has a significant learning curve.


Open-source and free-to-use

Requires initial setup and configuration

User-friendly visual interface

Can be complex for users without prior data integration experience

Strong data provenance and tracking features


Dell Boomi

dell boomi data management tools

Rating: 4.3 (309 Reviews)
Price: By request; free trial for 30 days.

Dell Boomi is a multi-cloud platform that combines app integration, B2B/EDI, API governance, flow, event stream, and master data management tools. Boomi’s Master Data Hub allows clients to model master data and gain 360-degree insights across products, employees, and customers.

Dell Boomi offers such functionality:

  • Low-code visual interface for matching and merging data records
  • Boomi Suggest Wizard to add fields to data models
  • Validation, enrichment, and error reconciliation
  • Accurate records flow between Boomi Master Data Hub and connected systems
  • Built-in matching processes
  • Real-time alerts
  • API developer portal and dashboard

Dell Boomi is suitable for medium and large businesses with many data sources.


UI-driven/low-code development

Complicated pricing model

Flexible for various business needs

Issues with integrations

A unified platform for integrations, APIs, and data management

Large learning curve for new users


Power BI

power bi data management tools

Rating: 4.5 (1,113 Reviews)
Price: Free version available; pro plan starts at $10 user/month; enterprise version price by request

Power BI is an interactive data visualization and analytics platform powered by Microsoft. This tool offers extensive features to integrate, process, analyze, track, and visualize your data. Power BI integrates with various data sources and supports apps you use daily, like those in Microsoft 365.

Power BI features include:

  • AI-generated reports and hundreds of report templates
  • Advanced analytics with R and Python integration
  • Interactive dashboards
  • Data connectivity to various sources (cloud, on-premises, SQL Server, Excel, etc.)
  • Data security and compliance (row-level security, data encryption)
  • Integration with Azure Data Services
  • Open data hub established with OneLake

Power BI data management tools are suitable for a wide range of users, from small businesses to large enterprises.


User-friendly report-creation

Performance issues with large datasets

Free training resources

No support for MacOS

Microsoft governance, security, and compliance

Large learning curve for new users

Extensive customization and interactive visualization options



bigquery data management tools

Rating: 4.5 (964 Reviews)
Price: $6.25 per TiB or $0.06/slot hour

BigQuery is a fully managed, serverless data warehouse offered by Google Cloud. It works as a data storage management software with analysis features. BigQuery allows users to run SQL queries on vast amounts of data. It integrates with other Google Cloud services and supports real-time analytics.

BigQuery features include:

  • First-party integration with Vertex AI and Gemini
  • Runtime metadata and connectors for SQL, open source engines, and AI/ML
  • Unified interface to query multiformat, multi-cloud, and multimodal data
  • Support for Iceberg, Delta, and Hudi
  • SQL, Python, Spark, Javascript, and natural language for analytics
  • Centralized source control and revision history
  • Data governance capabilities
  • Real-time ETL with Dataflow
  • Managed Apache Kafka
  • Data-to-AI integration and modeling capabilities
  • Privacy-centric data sharing and analysis with data clean rooms
  • 15 query translation sources from famous data lakes

BigQuery is a great choice for organizations needing a scalable, high-performance data warehouse for large-scale data storage. It’s the perfect option if your company already has integrated Google Cloud services.


Fully-managed and serverless

Can be expensive for large-scale data usage

Scalable storage and high-performance querying

Requires knowledge of SQL for effective use

Real-time data processing

Limited to Google Cloud Platform ecosystem

Integration with Google Cloud services and BI tools


SAP Datasphere

sap data management tools

Rating: 4.6 (16 Reviews)
Price: $12.96 per capacity unit: free trial available

SAP Datasphere is one of the data management tools for integration, cataloging, semantic modeling, and virtualization. It provides data access across hybrid and cloud environments. Users can create and optimize business semantic models by reusing definitions and associations from different SAP apps.

SAP Datasphere include:

  • Data federation or replication capabilities to combine sources
  • Hybrid architectures using existing SAP models
  • Self-service real-time data access
  • SAP Datasphere knowledge graph
  • Centralized governance, privacy, and compliance

SAP Datasphere is an enterprise technology that works best when you have already integrated the SAP ecosystem. It may not be suitable for small businesses with limited data.


Comprehensive data modeling

Unclear pricing

Ease of use

Data import issues

Data visualization



ibm db2 data management tools

Rating: 4.1 (649 Reviews)
Price: free community edition, $969/month for Cloud Enterprise Edition; 30-day free trial

IBM Db2 is a cloud-native database management platform for transactions, real-time analytics, and AI apps. It helps clients optimize query performance, backup, restore, migrate, clone, and manage databases. Db2 provides features to analyze governed data across hybrid-cloud environments and open formats. Businesses can develop new apps, store and monitor data, and run analytics all in one platform.

IBM Db2 features:

  • Real-time dashboards, business intelligence, and reporting
  • ML model building, training, and deployment using SQL, Python, and R
  • App development with support for Java, .Net, Ruby, Python, R, Perl, C, C++, pureXML, XQuery, Mongo, FLWOR Expression, and JSON
  • SaaS on IBM Cloud and Amazon RDS, hybrid, or on-premises deployment
  • AI-powered workload management
  • Support for open formats, including Apache Iceberg, Parquet, ORC, and CSV

IBM Db2 is suitable for data engineers, enterprise architects, and developers. Depending on the plan, it is a good fit for both large and small businesses.


Strong platform support

Require specialized skills for effective use

Rich ecosystem from development to data management

Lack of automation features

Real-time analytics and AI applications

Limited tools for a free version

Comprehensive backup and restore capabilities


Tableau Data Management

tableau data management tools

Rating: 4.4 (2,071 Reviews)
Price: $75 user/month + premium data capabilities by request; free trial available
Availability: web, desktop app, IOS, Android

Tableau is an interactive BI data visualization and AI-powered analytics platform. Besides its basic functionality, Tableau provides a set of enterprise data management tools. Clients can benefit from data freshness, usage, and meaning at the point of consumption. It also includes metadata from your enterprise data catalog. Tableau supports data cleaning, transformation, and loading processes.

Tableau data management tools include:

  • Expanded data discovery and connection experience
  • Expanded search functionality
  • Certification of databases and tables
  • Data quality warnings
  • Data details for visualization understanding
  • Tableau REST API for metadata methods
  • Tableau Metadata API for querying and updating metadata
  • GraphiQL for exploring and testing queries
  • Scheduled flow tasks
  • Monitoring of flow health and performance with email notifications
  • Creation of virtual connections for reusable curated data access
  • Creation of data policies for row-level security

Tableau Data Management is a part of the offer for enterprise customers. However, basic Tableau is also great for small businesses, students, and data analysis experts.


Free 1-year license for students and teachers

Productivity problems with large datasets

Flexible deployment on Tableau cloud (SaaS), Salesforce Hyperforce, public cloud, or on-prem

The learning curve for new users

Advanced analytics engine with AI & ML



fivetran data management tools

Rating: 4.2 (374 Reviews)
Price: By request; available free plan and trials

Fivetran is a data movement platform with over 500 sources of popular SaaS applications, databases, and ERPs. It supports multiple deployment models, including on-premise, cloud, and hybrid environments. Fivetran powers real-time analytics, database replication, AI workflows, cloud migrations, and information management tools.

Fivetran features include:

  • 500+ fully-managed connectors, like Hubspot, MySQL, Google services, Salesforce
  • PII detection, role-based access controls, and metadata sharing
  • Private networks, column hashing, private deployment
  • Pipeline creation with Fivetran REST API
  • Analytics data management software for marketing, sales, and finance sectors
  • Connector and transformation alerts

Fivetran provides plans for organizations of all sizes, from startups to global enterprises.


Ease of use

Confusing pay-as-you-go pricing model, making it challenging to forecast expenses

Large amount of connectors

Slow technical support

Multiple deployment models

Summing Up

Implementing data management tools in your business brings many benefits. To take full advantage of them, identify your company’s challenges. Here’s our quick guide to choosing the right data management tool for your needs:

  • What type of data do you need to manage?
  • Do you need a cloud or on-premises solution?
  • What are your integration requirements with existing systems?

The data management efficiency also depends on the experience of data engineers and analysts. Contact us, and we’ll provide CVs of top developers with experience in data engineering within a few days.

Frequently Asked Questions

Need to hire developers for your data project?

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What are the 4 types of data management?

Data management often includes warehousing, integration, quality, and governance. Data warehousing involves the secure storage of data. Data integration combines inputs from different sources to create a unified view. Data quality ensures its accuracy, consistency, and reliability. Data governance sets procedures for managing data assets and ensuring their security.

What is a data manager tool?

A data manager tool is software that helps businesses store, organize, manage, and retrieve data. It ensures data integrity, quality, and accessibility for analysis.

What is the most popular database management software?

As of June 2024, the most popular database management software worldwide is Oracle, with a ranking score of 1,244. MySQL (1,061) and Microsoft SQL Server (821) are the 2nd and 3rd.

Anna Ivashyna,
Project Manager @ DOIT Software
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