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Top 15 Data Migration Tools for 2024

Last updated on
January 22, 2024


Top 15 data migration tools

  1. Informatica PowerCenter
  2. Talend Data Integration
  3. Oracle Data Integrator (ODI)
  4. IBM InfoSphere DataStage
  5. SAP Data Services
  6. Microsoft SQL Server Integration Services (SSIS)
  7. AWS Data Migration Service (DMS)
  8. Google Cloud Dataflow
  9. Azure Data Factory
  10. Fivetran
  11. Dell Boomi
  12. Matillion
  13. Hevo Data
  14. CloverDX
  15. Syncsort

To learn more about these tools and their features, scroll down to the whole article.


Top 15 Data Migration Tools for 2024


Data migration is a critical process for businesses as they evolve and adapt to new technologies. It involves the transfer of data between storage types, formats, or systems, and is essential for system upgrades, consolidation, or introducing new systems. This article provides an in-depth look at 12 leading data migration tools, detailing their features, ideal use cases, and pricing, helping you make an informed decision for your data migration needs.

Informatica PowerCenter

A widely used data integration tool, offering robust data migration capabilities.

Key Features:

  • Advanced data transformation
  • High-volume data handling
  • Real-time data integration
  • Metadata-driven management
  • Data profiling and cleansing
  • Big data support
  • Cloud and on-premise integration
  • Extensive connectivity

Best for: Large enterprises with complex data integration needs.

Pricing: Custom pricing based on requirements.

Talend Data Integration

A comprehensive tool for data integration, migration, and management.

Key Features:

  • Open-source platform
  • Real-time data processing
  • Big data integration
  • Cloud and on-premise deployment
  • Extensive data connectivity
  • Data quality tools
  • Easy-to-use graphical tools
  • Scalable architecture

Best for: Businesses of all sizes looking for a flexible and scalable solution.

Pricing: Free community version; paid plans vary.

Oracle Data Integrator (ODI)

A powerful data integration software that emphasizes high-performance bulk data movement.

Key Features:

  • ELT (Extract, Load, Transform) capabilities
  • Integration with Oracle databases
  • Heterogeneous data management
  • Knowledge modules for optimized performance
  • Advanced data transformation
  • Strong data governance and security

Best for: Organizations heavily invested in Oracle ecosystems.

Pricing: Contact Oracle for pricing.

IBM InfoSphere DataStage

A data integration tool that supports the building, deployment, and management of data integration solutions.

Key Features:

  • High performance parallel framework
  • Extensive connectivity options
  • Real-time data integration
  • Robust data cleansing and quality
  • Metadata management
  • Scalable infrastructure

Best for: Enterprises needing a robust, scalable data integration solution.

Pricing: Custom pricing based on the specific needs.

SAP Data Services

A versatile tool for data integration, quality, and migration in complex landscapes.

Key Features:

  • Data quality management
  • Text data processing
  • Data profiling and metadata management
  • Integrated with SAP applications
  • Advanced transformations and data processing
  • Strong governance and security

Best for: SAP-centric environments needing comprehensive data management.

Pricing: Contact SAP for pricing.

Microsoft SQL Server Integration Services (SSIS)

A platform for building enterprise-level data integration and data transformation solutions.

Key Features:

  • Tight integration with Microsoft products
  • Extensive ETL capabilities
  • Data warehousing support
  • Customizable data transformations
  • Advanced data cleansing
  • Graphical design tools

Best for: Businesses heavily using Microsoft SQL Server and related applications.

Pricing: Included with SQL Server; pricing varies with SQL Server edition.

AWS Data Migration Service (DMS)

A cloud service that helps easily migrate relational databases, data warehouses, NoSQL databases, and other types of data stores.

Key Features:

  • Supports heterogeneous databases
  • Minimal downtime
  • Continuous data replication
  • Secure data transfer
  • Easy to use
  • Scalable and reliable

Best for: Businesses looking to migrate databases to AWS cloud.

Pricing: Pay-as-you-go pricing model.

Google Cloud Dataflow

A fully managed service for stream and batch data processing.

Key Features:

  • Real-time stream processing
  • Fully managed batch processing
  • Auto-scaling and resource optimization
  • Integration with Google Cloud services
  • Simplified pipeline development
  • Built-in monitoring and logging

Best for: Organizations using Google Cloud Platform for data processing and migration.

Pricing: Usage-based pricing model.

Azure Data Factory

A cloud-based data integration service that orchestrates and automates data movement and data transformation.

Key Features:

  • Data-driven workflows
  • ETL and ELT support
  • Integration with Azure services
  • Visual data transformation
  • Secure data transfer
  • Monitoring and management tools

Best for: Integrating various data stores on Azure Cloud.

Pricing: Usage-based pricing model.


An automated data integration tool designed to replicate data into a cloud warehouse.

Key Features:

  • Automated schema migrations
  • Pre-built connectors for databases and SaaS applications
  • Real-time data replication
  • Data transformation capabilities
  • Secure and compliant
  • Easy setup and maintenance

Best for: Organizations seeking effortless replication of data into cloud warehouses.

Pricing: Based on data volume and connectors used.

Dell Boomi

A unified platform for data and application integration.

Key Features:

  • Cloud-native integration platform.
  • API management and creation.
  • Workflow automation capabilities.
  • Master data hub.
  • Extensive connector library.
  • Low-code development environment.

Best for: Organizations seeking a comprehensive integration platform.

Pricing: Subscription-based pricing; contact Dell Boomi for details.


A data transformation solution for cloud data warehouses.

Key Features:

  • Optimized for cloud data warehouses like Redshift, BigQuery, and Snowflake
  • Simple graphical interface
  • Pre-built components for data transformation
  • Scalable and fast processing
  • Integration with popular data sources
  • Advanced data manipulation tools

Best for: Fast and scalable data transformation in cloud environments.

Pricing: Subscription-based pricing.

Hevo Data

A no-code data pipeline platform for unifying data from multiple sources.

Key Features:

  • No-code integration
  • Real-time data replication
  • Supports over 100 data sources
  • Data transformation capabilities
  • Secure and reliable
  • Automated schema mapping

Best for: Businesses looking for a no-code solution to integrate data sources.

Pricing: Free trial available; pricing based on data volume and features.


A data integration platform focusing on data transformation and migration.

Key Features:

  • Visual data transformation designer.
  • Extensive data connectivity.
  • Scalable and flexible data processing.
  • Data quality and validation.
  • Automation and orchestration.
  • Customizable components.

Best for: Mid-sized to large enterprises needing custom data integration solutions.

Pricing: Contact CloverDX for pricing details.


A tool specialized in integrating and transforming data across various platforms.

Key Features:

  • Data integration from multiple sources.
  • Data quality and profiling.
  • High-performance processing.
  • Big data and cloud support.
  • Security and compliance.
  • Data replication and CDC (Change Data Capture).

Best for: Businesses with complex, high-volume data integration needs.

Pricing: Contact Syncsort for pricing information.

<span class="colorbox1" fs-test-element="box1"><p>Check also: Top Cloud Migration Tools. Learn about key features, compatibility, and tips for choosing the right solution for your business's cloud transition. Ideal for organizations of all sizes.</p></span>

Key Features for Data Migration Tools:

  • Compatibility and Integration: Supports various data sources and targets.
  • Data Quality Management: Ensures data accuracy and integrity.
  • Scalability: Adapts to different data volumes and complexities.
  • Performance and Speed: Efficient data processing capabilities.
  • Security: Strong data encryption and protection measures.
  • Real-Time Data Processing: Ability to handle streaming data.
  • User-Friendly Interface: Easy-to-use graphical interfaces.
  • Customizable Data Transformation: Flexible data manipulation tools.
  • Monitoring and Reporting: Provides insights into the migration process.
  • Compliance: Adherence to industry regulations and standards.

How to Choose a Data Migration Tool:

  • Assess Your Data Migration Needs: Understand the scope, complexity, and specific requirements of your data migration project.
  • Evaluate Data Sources and Destinations: Consider the types of data sources and target systems involved.
  • Determine Key Features: Identify the key features required based on your needs.
  • Consider Scalability and Performance: Ensure the tool can handle the volume of data and performance requirements.
  • Check Security and Compliance: Verify that the tool meets necessary security standards and compliance requirements.
  • Assess the User Interface: Look for tools with intuitive interfaces to simplify the migration process.
  • Review Support and Documentation: Choose tools with strong customer support and comprehensive documentation.
  • Compare Pricing Models: Evaluate the cost-effectiveness of each tool and how it aligns with your budget.
  • Conduct Trials and Demos: Test the tools with demos or trials to assess their fit.
  • Seek Reviews and Recommendations: Look for user reviews and ask for recommendations from peers or industry experts.

Next steps:

  • Define the objectives and scope of your data migration project.
  • List out the types of data and systems involved in the migration.
  • Identify the key features your data migration tool needs to have.
  • Research and shortlist data migration tools that meet your criteria.
  • Arrange demos or trials with the shortlisted tools.
  • Evaluate the tools based on your specific use cases and requirements.
  • Consider the total cost of ownership, including licensing, support, and maintenance.
  • Make a decision based on the tool's performance during the trial, its features, and cost-effectiveness.

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Olga Gierszal
IT Outsourcing Market Analyst & Software Engineering Editor

Software development enthusiast with 6 years of professional experience in the tech industry. Experienced in outsourcing and nearshoring market analysis. Our expert in presenting tech, business, and digital topics in an accessible way.

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