Almost half of enterprise AI projects fail due to poor data quality, and 29% of data leaders cite data silos as a key blocker to AI success. When it comes to data migration, choosing the wrong tool can carry those same challenges and blockers into your new environment.

Many organizations combine cloud platforms with on-prem systems, and these complex hybrid environments need tools that provide automated schema mapping and tight governance controls. The best tools ensure minimal downtime during cutover and reduce broken pipeline risks so data is instantly ready for analytics or AI workloads post-migration.

Let’s look at the 9 best data migration tools in 2025.

Top 9 best data migration tools

Now, let’s explore some of the top data migration tools available in the market.

⚠: Performance at scale varies by infrastructure setup and workload complexity.

1. Fivetran

As a fully managed, cloud-based ELT platform, Fivetran integrates data from diverse sources into a centralized data warehouse. It is a cloud-based data migration tool that teams can configure to operate with any other data source with its pre-built connectors, including Salesforce, Amazon Redshift, Google Analytics, MongoDB, and many more.

Key features of Fivetran include:

• Automated schema mapping and schema drift handling to reduce manual pipeline rebuilds.
• 700+ pre-built connectors to source and destination.
• ELT, so data teams can quickly set up custom data transformations after loading the data.
• DBT supports in-destination logic and reduces latency.
• Enterprise-level privacy and security, including compliance with HIPAA and GDPR through automated column hashing, SSH tunnels, and more.

Pricing: Fivetran offers consumption-based pricing that varies by connector type and data volume. A 14-day free trial offer is also available.

2. Talend Open Studio

Talend Open Studio, an open-source data migration tool, offers various services for Big Data, data migration, cloud storage, enterprise application integration, data management, and data quality. Developers can work with a graphical interface to design migration pipelines and still access underlying Java code for any required customizations.

Some of the key features of Talend are:

• Broad library of connectors and components for building custom data workflows.
• Graphic interface and access to the underlying Java code as needed.
• Native support for databases in Hadoop, Spark, NoSQL, and more for large migration projects.
• Graphical tools and wizards automatically generate Java code, which engineers can customize.
• Large community forum for exchanging knowledge, experiences, troubleshooting, and other information.

Pricing: Free

3. Matillion

Matillion is a cloud-based ETL solution with built-in analytics features. It lets teams load, transform, sync, and orchestrate data in one location.

Key features include:

• Low- or no-code GUI to configure ETL for infrastructure and manage complex pipelines through a single dashboard.
• It supports over 80 pre-built connectors to well-known SaaS services, such as Google BigQuery, AWS, Salesforce, and more.
• Direct integrations with well-known data warehouses such as Snowflake, Redshift, and BigQuery.
• Push-down ELT to execute joins and transformations over millions of rows in a matter of seconds in the target warehouse.
• Through the use of its transformation components, Matillion offers post-load transformations.
• Transformation component design using either point-and-click selection or by writing SQL queries.
• Storage of values or a list of values as variables that can be used in other sections or tasks.
• Real-time feedback, validation, and data previews while creating ETL/ELT jobs.

Pricing: After a 14-day free trial, pricing is based on the customer’s cloud data warehouse platform and instance size. Billing is hourly, with annual options available.

4. Integrate.io

Integrate.io is a cloud-based ETL/ELT platform that offers a single drag-and-drop interface for managing, converting, and moving data between several applications. This data migration tool provides a user-friendly interface and a highly automated workflow for designing and managing migration pipelines. So customers can reduce engineering workloads for data migration projects.

Some of the key features of Integrate.io are:

• Easy data migration from legacy systems
• Integration with SQL, Oracle, Teradata, DB2, and SFTP servers
• Transformations to cleanse and consolidate data without custom scripts
• Encryption and role-based access to ensure the secure transfer of data
• Integrations via REST API or direct FTP uploads to extend workflows to custom apps or external systems.

Pricing: Offers a 14-day free trial and flexible pricing plans in three tiers: Starter, Professional, and Enterprise.

5. Informatica

Informatica helps organizations access, transform, and integrate data from a wide range of systems and distribute it to other systems, real-time business workflows, and users. Informatica's cloud-native integration service, PowerCenter, extracts, loads, and converts data from various sources. Additionally, it offers capabilities like data integration, data governance, and data migration.

Key features:

• A single environment for data transformation, profiling, integration, cleaning, and metadata management.
• User authentication, granular privacy control, and secure data transmission.
• Shared, reusable components and metadata to simplify cross-team collaboration.
• Transfers of large data volumes between a variety of data sources.
• Pushdown optimization enables some processing in source/target systems.
• Runtime monitoring and automatic job logging are needed for visibility and control.

Pricing: Consumption-based pricing model with details available on request.

6. Singer.io

An open-source CLI-based application, Singer.io, creates ETL pipelines using:

• Targets scripts to load data to a destination
• Taps scripts to extract data from a source.

These scripts can be combined to stream data from databases, applications, web APIs, and files to various locations.

Some of the key features of Singer are:

• Lightweight JSON-based format to standardize communication between the Taps and Targets scripts and make integration easier.
• It supports JSON Schema in defining rich data types when needed.
• Pipeline design flexibility by combining Taps and Targets with Unix-based pipes without requiring daemons or plugins.
• State preservation between runs, to facilitate incremental extraction.
• Large selection of pre-built Taps and Targets in the open-source community.

Pricing: Free

7. AWS Glue

AWS Glue is an event-driven serverless ETL service that fully manages data extraction, cleaning, and presentation for insights.

It orchestrates ETL jobs using other AWS services, leveraging API calls for data modification, logging, job logic storage, and notifications. Its schema discovery, pre-built transformations, and serverless auto-scaling automate pipeline setup and match workload demand.

Some key features include:

• Amazon Cloudwatch to help keep track of tasks and receive alerts about their status.
• Built-in datastore crawlers to gather schema and data types for automated metadata creation.
• Automated triggers based on a schedule or event to move data into data lakes and warehouses.
• AWS Glue provides built-in transformations and supports schema discovery, format conversion, and data cleaning tasks. Some advanced transformations may require coding or integration with other AWS services like Glue DataBrew or SageMaker.
• Virtual table creation from numerous data sources using SQL.
• Integration with more than 70 data targets and sources, including AWS services such as Amazon Redshift and S3.

Pricing: Custom.

8. Stitch

Stitch Data is a cloud-based ETL solution that assists in transforming, cleaning, and preparing data for analysis. It can also extract and load data from various sources, including databases and spreadsheets, whether structured or unstructured. It supports API-based ingestion for custom workflows and provides a no-code interface for simplified pipeline set-up.

Some of the key features of Stitch are:

• Over 130 connectors, including Asana, MariaDB, MySQL, PostgreSQL, Salesforce, and AWS.
• Automated scaling within typical mid-market data volumes and basic error detection and alert features. High-throughput or complex failure recovery scenarios may require additional tooling or oversight.
• API and JSON ingestion to programmatically push data into a data warehouse.

Pricing: Volume-based pricing, with 3 plan options:

• Standard
• Advanced
• Premium

9. Oracle GoldenGate

GoldenGate is a data replication and migration solution, often used for on-premises or hybrid environments. It uses CDC to keep source and target databases synced in real time for projects, including database upgrades and hybrid cloud migrations, especially where production systems have to remain available without breaks.

Some features of GoldenGate include:

• Real-time CDC replication to capture and apply inserts, updates, and deletes right as they happen.
• The ability to run natively on enterprise infrastructure, or cloud or multi-cloud scenarios as needed.
• Compatibility with Oracle, SQL Server, MySQL, and other major systems.
• Metrics and alerts to track lag and overall system health across distributed environments.

Pricing: Custom

Key factors to evaluate data migration tools

When choosing the optimal tool for your business needs, consider these crucial factors:

Scalable pricing

Data migration products have various pricing structures. Some charge by gigabytes, others by workloads/hour. Before selecting a solution, understand your data size, resources, and system needs. Look for full-scale solutions with parallel processing and throttling controls to give you predictability in consumption-based pricing.

Integrations

For enterprise migrations with multiple sources and targets, comprehensive connector coverage is crucial. Prioritize pre-built connectors for standard business systems, SaaS apps, and various data types. API and CLI integration are also important for embedding migration projects into existing workflows.

Transformation and legacy support

Legacy systems use unique formats that don't always match the new destination. Look for full-scale solutions with built-in schema detection and data-type mapping to minimize manual intervention and downtime.

Automation and orchestration

Since manual execution doesn’t scale for enterprise workloads, the best data migration tool combines job scheduling, workflow orchestration, dependency management, and retries. This reduces manual efforts and streamlines data processing, enabling faster data transmission.

Monitoring and alerting for data quality

Modern data migration solutions include safeguard features such as anomaly detection and auto schema drift handling. Built-in alerts for these data quality issues in near-real time help to prevent incomplete loads and the need for rollbacks.

Security and compliance

In any industry, but especially in highly regulated ones, enterprise migration projects must protect sensitive data in accordance with regulations. Features like encryption in transit and at rest, role-based access controls, and audit logs specifically designed to meet standards for frameworks like GDPR, HIPAA, and SOC 2 ensure compliance.

Take the first step towards fast and safe data migration

While moving data from “A” to “B” is the essential goal of data migration, factors like infrastructure complexity and compliance requirements mean choosing the wrong tool can lead to schema mismatches or extended downtime. Not to mention the costs of re-mapping schema mapping or fixing failed loads after the fact.

The best tools automate steps like schema mapping and error handling while integrating seamlessly with your existing stack, so your migration is fast and reliable.

Fivetran’s fully managed pipelines, with pre-built connectors, provide a smooth path to data migration.

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FAQ

What are data migration tools?

Data migration tools are software solutions that transfer data between systems, databases, and other destinations, both on-premise and in cloud environments.

They automate extraction, preparation, transformation, cleaning, and loading, ensuring secure and properly formatted data transfer for enterprise projects.

What key features should I look for in a data migration tool??

• Automated schema mapping: This feature streamlines large-scale migrations by eliminating the need for manual reconciliation of source and target models.
• Change Data Capture (CDC): CDC minimizes downtime during migration by continuously synchronizing the source and destination through replication of inserts and updates.
• Automated data quality checks: These tools automatically detect and correct anomalies and schema drift, thereby reducing the risk of failed data loads.

Can data migration tools handle compliance and security?

Yes, many tools come with built-in security and governance features such as

• Encryption (in transit and at rest): Standard encryption and privacy controls ensure data integrity, preserve brand reputation, and bolster organizational security.
• Role-based access controls: In addition to supporting regulatory compliance, these controls protect data and system integrity by restricting data viewing, movement, and transformation to authorized users only.