Exploring the top 11 data migration tools for 2026

On paper, migrating data seems like a simple task. After all, it’s just moving files from one place to another, right? But between security issues, system incompatibility, and the potential for data loss or corruption, the reality is a little more complicated. 

Thankfully, data migration tools help streamline the process, syncing between legacy databases, SaaS apps, cloud warehouses, and more with ease. But which tool is the right choice for your specific business needs? 

In this article, we cover the 11 best data migration tools and let you know where each of them shines.

What are data migration tools?

Data migration tools are platforms that move information between systems, storage locations, and formats. There are many reasons you might want to do this, including modernizing your data architecture, combining two or more systems after a company merger, or simply consolidating siloed data.

More complex data movement tools are even capable of automating much of the migration process.

The 11 best data migration tools

Here are the 11 best data migration software solutions currently on the market and where they excel.

1. Fivetran: Best fully managed data migration solution

Fivetran is a fully managed, cloud-based extract, load, and transform (ELT) platform designed to help you automate and simplify your data ingestion pathways. Instead of having to monitor connectors, track changing schemas, and retry failed workloads yourself, Fivetran handles the entire process. 

Once you set up a pipeline, Fivetran does the rest, completely automating data delivery to your data platform. For teams that need to get up and running quickly or are looking for long-term data movement capabilities, Fivetran has what you need. 

‍Key features:

• Fully managed connectors that automatically adapt to API and schema changes
• Extensive pre-built connector coverage of over 700 databases, SaaS tools, files, and events
• Incremental sync and CDC for efficient, low-latency migrations
• ELT-first design with native integration for in-warehouse transformation
• A security and compliance-first approach that builds regulatory adherence into your pipelines
  

2. Qlik Talend Data Fabric: Best for experienced engineering teams

Talend Open Studio (TOS) was an open-source cloud migration software project. The tool has since been acquired by Qlik, transforming it into a paid platform called Talend Data Fabric that offers an extensive selection of data interaction and transformation features, giving your developers end-to-end control over pipelines.

But unless your engineering team is highly experienced, the sheer quantity of Talend Data Fabric’s features can make it tough to get the most out of the platform. You’ll also have to manage deployment, upgrades, performance tuning, and error handling in-house, which could add a significant burden to your data department. 

Key features:

• Highly customizable data pipelines 
• Supports even legacy systems with complex transformation workloads
• Custom pipelines may take longer to construct and maintain
  

3. Matillion: Best for complex transformations

Matillion is a cloud-native ELT/extract, transform, and load (ETL) tool that lets you construct data pipelines in a low- or no-code environment. The ability to implement transformation logic across your pipeline makes Matillion a great choice for any company in need of complex migration logic.

Users are responsible for maintaining pipelines once constructed, meaning you’ll need to cover schema changes in sources and ongoing performance optimization. You can, however, push transformation logic down into Snowflake and other downstream systems.

Key features:

• AI-first workloads help teams with little experience get started
• A range of transformation and orchestration capabilities
• Supports low- or no-code environments
  

4. Integrate.io: Best for a no-code experience

Another no-code data integration system, Integrate.io allows users to create ELT or ETL pipelines from a drag-and-drop menu. The platform supports operational use cases by streamlining manual data processing with easy-to-use transformation logic. 

However, this simplicity can come with performance limitations, as some teams find their systems struggle as they scale past mid-sized pipelines.

Key features:

• Simple building and transformation components help you get started quickly
• Offers a good range of data cleansing and preparation features
• Can connect to legacy databases to help with modernization efforts
  

5. Informatica: Best for lightweight data migrations

Informatica is a major player in the cloud data management space, offering a broad portfolio of solutions for database migration, integration, quality control, and governance. 

The company’s data integration segment is lightweight, covering many of the common sources and pathways that businesses are likely to use, but since Informatica splits its attention across multiple data products, its migration tools aren’t as sophisticated as some others on this list.

Key features:

• Strong governance tracking, metadata transfer, and data profiling capabilities
• A mature platform that integrates well with a wider ecosystem
• Offers visibility into pipeline performance with dashboards
  

6. Singer.io: Best open-source option

Singer.io is an open-source ETL platform that allows experienced teams to load data with scripts. As an open-source framework, the tool is a good pick for teams looking to save money on data migration and who value transparency from a data platform. However, the product only supports a limited number of connectors. 

Key features:

• Supports JSON-based pipelines
• The Unix-inspired structure simplifies the process of connecting new sources
• A strong community ecosystem that shares ideas and migration strategies
  

7. AWS Glue: Best for organizations using AWS infrastructure

Amazon Web Services (AWS) Glue is leading serverless ETL service that integrates directly with the wider AWS data ecosystem. For this reason, Glue works best when coupled with other AWS tools and AWS-based lakes, warehouses, and lakehouses. 

Glue has implemented generative AI capabilities over the past few years, letting you automatically generate ETL code and modernize Spark jobs. 

Key features:

• Serverless ETL provides a stable performance
• Reduces operational complexity with built-in scheduling and monitoring workflows
• Uses automatic provisioning and worker management to simplify migrations
  

8. Oracle GoldenGate: Best for real-time analytics

Oracle GoldenGate is a managed service that specializes in real-time data. It automatically replicates data through change data capture. 

With over 20 years of experience, GoldenGate is a sound legacy choice that covers five styles of data integration processing, but despite its veteran status, it still has a relatively small pool of pre-built connectors. 

Key features:

• Low-latency data processing offers real-time analytics
• Supports hybrid, cloud, and on-premise hosting
• High-performance data replication without impacting production systems
  

9. SnapLogic: Best for prioritizing AI

SnapLogic’s low-code, AI-driven platform makes building data pipelines a breeze. It offers a large number of pre-built connectors to minimize the need for writing complex code. But the tool’s full range of capabilities also comes with a steep learning curve, and you’ll have to manage the pipeline overhead once constructed, consuming engineering time. 

Key features:

• Visual pipeline creation
• Enterprise scalability and a deep pool of integrations
• A powerful low-code platform
  

10. Azure Migrate: Best for Microsoft integration

Azure Migrate is Microsoft’s custom-built tool for moving data into Azure environments. It’s an effective choice if you’re considering a wider infrastructural shift or mass migrations to M365. Since it’s purpose-built for migrations, the platform’s capabilities don’t extend into data management or analytics. 

Key features:

• Full integration with other Microsoft workloads
• Effective infrastructure analysis and data mapping features to determine how best to migrate data
• The pay-as-you-go model helps keep costs low
  

11. Hevo Data: Best for small data systems

Hevo Data offers end-to-end ELT systems within a single platform. It’s easy and quick to set up and lets teams build in a low-code environment. While the tool is flexible and intuitive, Hevo Data lacks the depth needed for more complex migration and data integration scenarios. 

Key features:

• Low- or no-code data pipeline system
• Real-time data ingestion support and monitoring
• Easy to get up and running quickly

How Fivetrean streamlines data migration

Fivetran simplifies data migration by removing as much of the manual work as possible. The platform’s fully managed connectors, automated schema support, and around-the-clock monitoring make handling and scaling your end-to-end data pipelines a breeze.

To see how Fivetran can streamline your next data migration project, get started with a free plan or request a demo today. 

FAQs

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

When choosing a data migration tool, you should look for scalable pricing, a wide range of integrations, legacy system support, opportunities for automation, data quality validation, and regulatory compliance.

What are ETL tools for data migration?

ETL tools for data migration are any systems that extract data, transform it, and then load it into a storage repository. ELT tools work similarly, but load data before transforming it.

Is it safe to migrate sensitive data using data migration tools?

Yes, one of the benefits of using a data migration tool is adherence to all security and compliance considerations.

How long does data migration typically take?

The length of a data migration can range from minutes to weeks, depending on the volume of data you’re looking to move, the type of migration you use, and how willing you are to disrupt employees’ workflows.

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