Data migration tools are software solutions. They help organizations transfer source data between systems. These tools ensure secure data transfer and data integrity, cut downtime, and simplify the migration of data between:
- Databases (e.g., SQL Server to PostgreSQL)
- Applications (e.g., CRM to ERP systems)
- Storage solutions (e.g., on-premise to cloud)
Types of Data Migration
- Storage migration is the process of moving data from one storage medium to another.
- Database migration refers to the transfer of data between different data storage systems. For example, Azure SQL or IBM Informix.
- Application migration is moving software applications and data to new applications or environments.
- Cloud data migration is moving data to cloud-based infrastructure. This includes AWS, Azure Data Migration Service, or Google Cloud.
How These Tools Were Selected
The tools listed are robust, scalable, and widely adopted. They are chosen based on their:
- Ease of Use: Simpler processes and easy-to-use interfaces.
- Performance: Speed and reliability in handling large-scale migrations and large data sets.
- Compatibility: Support for different platforms, legacy systems, and environments.
- Security features: Robust data protection measures during data move or migration.
- Industry Adoption: Popularity among enterprises of all sizes, including small companies and large data centers.
The Top Data Migration Tools of 2025: At A Glance
- DCKAP Integrator
- AWS Data Migration Service (DMS)
- Microsoft Azure Database Migration Service
- Boomi
- Informatica PowerCentre
- Apache NiFi
- Hevo Data
- SAS Data Management
- Stitch Data Loader
- Fivetran
1. DCKAP Integrator
DCKAP Integrator is a platform for integration and data migration processes. It connects ERP, CRM, and eCommerce systems. Its robust, pre-built connectors simplify the migration process. So, it’s perfect for businesses with complex on-premises environments and multiple data systems.Â
Pros:
- User-friendly interface for easy navigation.
- Real-time data synchronization across platforms.
- Wide compatibility with popular business applications.
- Automation minimizes manual errors and increases efficiency.
- Scalable for businesses of varying sizes or data warehouses.
Cons:
- Requires technical expertise for complex setups.
- Costs can rise with additional customizations.
- Limited pre-built connectors for tools not preferred by distributors and manufacturers.
Price:
Starts at $999/month for basic features. It’s tiered based on integrations and data volume. Custom quotes are provided for large-scale enterprise migrations.
2. AWS Data Migration Service (DMS)
AWS DMS is a cloud tool for easy database migrations to and within AWS. It supports both types of migrations. Homogeneous, like SQL Server to SQL Server. And heterogeneous, like Oracle to MySQL. It supports multiple database engines and data lakes.
Pros:
- Highly scalable and reliable.
- Cost-effective for small projects and large migrations.
- Excellent support for heterogeneous database migrations.
- Minimal downtime ensures smooth transitions.
- Integration with the AWS ecosystem enhances usability and reduces critical step complexity.
Cons:
- Limited to AWS environments.
- Complex setup for non-AWS users.
- Advanced configurations require expertise.
- Limited support for real-time analytics during migration.
- Can incur hidden costs for associated AWS services.
Price
AWS DMS offers on-demand and serverless integration models, and the pricing depends on which you choose.
3. Microsoft Azure Database Migration Service
Azure Database Migration Service is a cloud-native tool. It is for migrating databases to Azure. Its robust capabilities make it a favorite among enterprises in the Microsoft ecosystem. Key features of Azure Migrate make it one of the most reliable types of data migration tools.
Pros:
- Free for most migrations.
- Automated recommendations simplify planning.
- Seamless integration with Azure services and cloud providers.
- High-level security and compliance features.
- Reliable for both on-premises and cloud migrations.
- Advanced performance monitoring.
- Support for SQL Server, MySQL, and PostgreSQL.
Cons:
- Suboptimal for non-Microsoft ecosystems.
- Limited functionality for multi-cloud services.
- Complex setups for heterogeneous migrations.
- Limited offline tools.
- Best suited for database migration, not broader data needs.
Price:
Most migrations are free for Azure users. But extra services, like extended storage or premium support are chargeable, specifically for virtual core (vCore) 4.
4. Boomi
Boomi is a cloud-native integration platform (iPaaS). It supports data migration, app integration, and API management. It’s a low-code environment. It is suitable for businesses looking for a quick and easy solution.
Pros:
- Intuitive and easy-to-use interface.
- Supports a wide variety of systems and applications.
- Real-time data transfer ensures accuracy.
- Flexible deployment options (cloud and hybrid).
- Scalable for businesses of all sizes.
Cons:
- Expensive for smaller companies.
- Limited offline capabilities.
- Advanced and specific features require additional costs.
- Dependent on internet connectivity.
- Limited customization for niche use cases.
Price:
Starts at $99/month, with higher tiers based on data volume and advanced features. Custom quotes are available for enterprises.
5. Informatica PowerCenter
Informatica PowerCenter is a top ETL tool. It is for data migration, integration, and governance. It is known for its reliability and strong functionality. It caters to large-scale data migration projects across diverse industries.
Pros:
- Extensive support for multiple data formats and platforms.
- High scalability for enterprise-grade migrations.
- Advanced data transformation and governance features.
- Built-in monitoring tools for performance tracking.
- Excellent vendor support and extensive documentation.
Cons:
- Expensive licensing and support costs.
- Complex setup and configuration process.
- Requires technical expertise for operation and optimization.
- Limited flexibility for smaller-scale migrations.
- Resource-intensive, requiring significant infrastructure.
Price:
Custom pricing based on project scope and data volume. Expect higher costs for advanced features and enterprise support.
6. Apache NiFi
Apache NiFi is an open-source tool. It automates and manages real-time data flows between systems. It is highly customizable. So, it is ideal for organizations that need a flexible, scalable solution.
Pros:
- Open-source and free to use, reducing upfront costs.
- Highly adaptable for custom workflows.
- Supports real-time data streaming and batch processing.
- Compatible with diverse data sources and formats.
- Scalable for small and large data migration projects.
Cons:
- Requires significant technical expertise for configuration.
- Limited built-in analytics or visualization tools.
- Lacks robust customer support compared to commercial tools.
- The steeper learning curve for non-technical users.
- May require additional infrastructure for enterprise-grade use.
Price:
Free (open source).
7. Hevo Data
Hevo Data is a no-code data integration platform. It simplifies migrating data from multiple sources to popular destinations. It offers real-time data replication and transformation. So, non-technical users can set up data pipelines without coding.
Pros:
- No-code, user-friendly interface.
- Real-time data replication.
- Extensive connector library (150+).
- Change Data Capture (CDC) support.
- Responsive customer support.
Cons:
- Limited pipeline editing.
- Deleted pipelines are not entirely removed.
- Scheduling issues.
- Scalability concerns with large data sets.
- It can be expensive for small businesses.
Price:
Hevo Data has a free plan with limited features. It includes 50+ connectors and up to 1 million monthly events. The Starter plan costs $239/month. It includes access to 150+ connectors, 10 users, and live chat support. For advanced needs, the business plan is available with custom pricing. It offers features like HIPAA compliance, dedicated account management, and enhanced support.
8. SAS Data Management
SAS Data Management is a powerful tool. It integrates, migrates, and manages large data volumes. It widely serves advanced analytics, data cleansing, and governance.
Pros:
- Excellent for data quality management and governance.
- Robust analytics capabilities are integrated into the platform.
- Supports complex, multi-source data migration.
- Highly scalable for enterprise-grade projects.
- Comprehensive vendor support and training resources.
Cons:
- High licensing costs, making it less accessible for small businesses.
- Requires significant expertise for optimal use.
- Resource-intensive for setup and operation.
- Limited compatibility with non-SAS ecosystems.
- Steeper learning curve compared to simpler tools.
Price:
Custom pricing based on requirements.
9. Stitch Data Loader
Stitch Data Loader is a cloud-based ETL tool. It simplifies data migration for small businesses and startups. It’s designed for users who need a straightforward and budget-friendly solution.
Pros:
- Easy-to-use interface for non-technical users.
- Transparent pricing structure.
- Supports over 100 pre-built data integrations.
- Ideal for small-scale data migrations.
- Fast implementation with minimal setup.
Cons:
- Limited to batch processing (no real-time capabilities).
- Basic transformation capabilities compared to enterprise tools.
- Not suitable for complex or high-volume migrations.
- Limited analytics and monitoring features.
- Dependency on cloud connectivity.
Price:
Standard plans start at $100 for 5 million rows/month, and premium and advanced plans starting at $1,250 and $2,500 respectively.
10. Fivetran
Fivetran is a completely managed data integration service. It automates the extraction, loading, and transformation of data from diverse sources into data warehouses. It simplifies ETL processes. This enables fast data analysis without manual pipeline maintenance.
Pros:
- Fully automated data pipelines.
- Large connector library (500+).
- Incremental updates for efficiency.
- ELT support with DBT integration.
- Scales well with growing data needs.
Cons:
- Costs rise with data volume (MARs model).
- Limited customization options.
- Dependency on stable internet connectivity.
Price:
Fivetran offers a free, pay-as-you-go, and custom enterprise plans.
Conclusion
Data migration is no longer a one-size-fits-all operation. The tools above meet diverse business needs. AWS DMS and Azure Database Migration Service excel in cloud migrations.Â
Enterprises using later versions of SQL Server or requiring new version of SQL Server migrations can benefit from specialized tools. However, for large businesses, utilize Informatica PowerCenter or IBM InfoSphere DataStage.
For manufacturers and distributors, DCKAP Integrator can help ensure access to real-time data customized to their business, at an affordable cost.
The decision-making process involves:
- Assessing your current data centers and on-premises data.
- Considering future needs like data warehouses and cloud storage.
- Balancing the complexity of big bang data migration versus incremental approaches.
- Evaluating expertise and compatibility with existing storage devices or virtual machines.
Best practices include using various sources, testing, and creating a robust data migration plan.
FAQs
What’s the difference between data migration from data integration?
Data migration is a complex process of one-time transfer of data to a new system, format, or location. Data integration, on the other hand, combines data from various sources. It aims for a unified view, usually in real-time or for ongoing processes.
How can I pick the best data migration tool for my company?
- Assess your current and future data volume.
- Evaluate the storage systems, source systems, and platforms involved.
- Consider technical expertise and budget constraints.
Is DCKAP Integrator suitable for non-technical users?
Yes, DCKAP Integrator is easy to use. It has a user-friendly interface and pre-built connectors. So, non-technical users can access it. However, advanced setups and customizations may need technical skills or help from the DCKAP team of integration experts.
How can I ensure data accuracy during migration?
Use tools with built-in data validation and cleansing, like Informatica PowerCenter or Data Ladder. Conduct thorough pre-migration assessments. Verify data mappings. Test the migrated data extensively to ensure accuracy.
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