7 Best Data Migration Tools List in 2026

Last Updated: April 27, 2026

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Summary: Before migrating data to a new system, you need to consolidate it from multiple resources, perform assessments to discover vulnerabilities, and identify dependencies. Data migration software can help with all these tasks.

As businesses start to grow, managing and processing large data sets becomes difficult. In addition, servers and systems may become outdated over time and might not be able to handle business data efficiently while keeping it secure. In such situations, migrating data to a different server or system becomes essential.

To manage this process, most organizations use data migration tools to handle data transfer. These tools help consolidate data, identify dependencies, and load it into the defined destination.

However, data migration is a complex process and involves several elements. Keep reading to find out what data migration is and explore some of the most popular tools you can consider for this purpose.

What is Data Migration?

Data migration is the process of transferring data from one system to another system, application, or cloud infrastructure. The entire migration process is carried out in several stages, starting with planning and database assessment and ending with loading the data into the destination system.

Managing the complete data migration process can be quite challenging, as it requires significant time and effort. However, several data migration tools are available to simplify this task. These tools help analyze migration-related risks, plan effective strategies for successful migration, and support the process in many other ways.

Types of Data Migration Tools

There are 3 different types of data migration tools available for migrating your databases. These include…

Storage Migration Tool: These data migration tools help in migrating data from the old storage system to the new one. It is used to move data to disks or tapes in the new system or to the cloud.
Cloud Migration Tools: With these tools, the data is migrated from the on-premises resources to the cloud, or from the existing cloud infrastructure to the new one.
Application Migration Tools: Application migration tools are used to migrate business applications to different data centers, cloud infrastructure, or to the on-premises resources.
Database Migration Tools: Tools focused on homogeneous/heterogeneous database migrations with minimal downtime. For example, AWS DMS, Azure DMS etc.

Why Do Businesses Need Data Migration?

There are plenty of reasons why businesses migrate their data from one system to another. These include…

Replacing the existing server or system with the new one
Migrating data between different cloud servers
When software updates are installed
Decommissioning the current data centers
Migrating on-premises infrastructure to the cloud
During the application maintenance and upgrade

Side-by-Side Data Migration Tools Comparison in 2026

here are multiple types of tools available to migrate data across cloud resources, applications or on-premises resources. The best data migration tools come with features for creating data pipelines, transforming data pre-migration, ingesting data from multiple resources, and so on.

Here are some of the best software you can consider for migrating your data…

1. Informatica PowerCenter

Informatica PowerCenter is a data migrator used by organizations to move data from one system to another in a reliable and controlled way. It helps extract data from source systems, transform it into the required format, and load it into target systems such as data warehouses or new applications.

The software is commonly used for large‑scale data migrations during system upgrades, consolidations, and modernization projects.

Note: Informatica PowerCenter reached end of standard support in March 2026. Many organizations continue to use it for existing legacy migrations, while newer migration projects increasingly focus on cloud‑native tools.

Key Features of Informatica PowerCenter:

Connects to databases, files, ERPs, mainframes, and legacy systems
Extracts structured and semi‑structured data from heterogeneous sources
Transforms data using mappings, rules, joins, aggregations, and lookups
Cleanses and validates data during migration workflows
Loads high‑volume data into target platforms and applications
Supports full loads and incremental (delta) migrations
Handles schema changes and data type conversions
Orchestrates migrations using workflows, sessions, and schedules
Scales performance with parallel processing and partitioning

Pro and cons of Informatica PowerCenter:

Pros

Handles large, complex, enterprise‑scale migrations
Provides precise control over transformation logic
Supports reliability, auditability, and compliance
Performs well for long‑running, mission‑critical migrations

Cons

Requires specialized ETL skills and experience
Needs significant setup and infrastructure management
Feels heavy for small or one‑time migration projects

Informatica PowerCenter Pricing & Plans: Price on request

2. AWS Database Migration Service (AWS DMS)

AWS Database Migration Services is a data migration tool that helps users plan, analyze, convert, and migrate big databases to AWS efficiently and securely. It is used to migrate data between on‑premises systems, cloud platforms, and different database engines.

AWS DMS keeps the source database running during migration, which helps reduce downtime. It is commonly used for cloud migrations, database modernization, and system upgrades.

Key Features of AWS Database Migration Service (AWS DMS):

Migrates databases to AWS quickly and securely
Supports homogeneous and heterogeneous migrations
Moves data between on‑premises, Amazon RDS, Aurora, and other cloud databases
Handles full load migrations and ongoing change data capture (CDC)
Keeps source and target databases in sync during migration
Supports relational and NoSQL databases
Runs migrations with minimal source‑database downtime
Monitors migration tasks with logging, metrics, and error reporting
Encrypts data in transit and at rest using AWS security services
Integrates with AWS Schema Conversion Tool (SCT) for complex migrations

AWS Database Migration Service

4.2

Starting Price

Price on Request

Pro and cons of AWS Database Migration Service:

Pros

Reduces downtime during live database migrations
Eliminates infrastructure management with managed execution
Scales automatically for large data volumes
Fits well into AWS‑centric architectures

Cons

Focuses on data movement, not complex data transformation
Requires SCT for schema and code conversion
Depends on AWS services for full functionality
Feels limited for non‑AWS target environments

AWS Database Migration Service Pricing & Plans (AWS DMS): Price on request

3. Azure Migrate

Azure Migrate is a database migration software and assessment tool from Microsoft that helps organizations move their applications, servers, and data to Microsoft Azure. It provides a central place to discover existing systems, assess readiness for the cloud, and plan migrations.

The software is commonly used to support cloud adoption projects by guiding organizations through the process of moving workloads from on‑premises environments to Azure.

Key Features of Azure Migrate:

Discovers on‑premises servers, VMs, databases, and applications
Assesses readiness, sizing, and cost for migration to Azure
Maps application dependencies to reduce migration risk
Supports agentless and agent‑based discovery
Migrates servers to Azure using Azure Migrate Server Migration
Migrates databases using Azure Database Migration tools
Provides modernization paths for apps, containers, and data
Tracks migration progress from assessment to cutover
Integrates with Azure Site Recovery for replication and failover
Secures migration with Azure identity, access, and encryption controls

Azure Migrate

4.1

Starting Price

Price on Request

Pro and cons of Azure Migrate:

Pros

Centralizes discovery, assessment, and migration in one hub
Reduces guesswork with Azure‑specific sizing and cost estimates
Minimizes migration risk through dependency analysis
Fits well for organizations standardizing on Azure

Cons

Targets Azure only, not multi‑cloud destinations
Depends on additional Azure tools for databases and apps
Requires planning for non‑VM workloads and refactoring efforts

Azure Migrate Pricing & Plans: Price on request

4. Fivetran

Fivetran’s automated data movement platform is best suited for analytics-focused data replication and modernization. It is used to automate the key ELT tasks with automated schema migration, data ingestion with connectors, and data pipeline creation with pre-built data models.

This data migration software can provide an additional layer of security by encrypting data in transit and at rest.

Key Features of Fivetran:

Connects to hundreds of SaaS apps, databases, files, and cloud sources
Extracts data from source systems automatically
Loads data into cloud data warehouses and data lakes
Uses ELT approach, pushing transformations to the destination system
Keeps data continuously synced using incremental loading
Handles schema changes automatically without manual intervention
Monitors pipelines with built‑in logging and alerts
Supports high‑volume data replication with scalability
Integrates with Snowflake, BigQuery, Redshift, Azure Synapse, and more
Secures data with encryption, compliance certifications, and access controls

Fivetran

4.7

Starting Price

Price on Request

Pro and cons of Fivetran:

Pros

Minimizes pipeline maintenance through full automation
Accelerates analytics‑focused data migrations
Scales easily for growing data volumes
Reduces engineering effort compared to custom

Cons

Limits complex transformation logic inside the platform
Depends on destination systems for data modeling
Costs increase as data volume and connectors grow

Fivetran Pricing & Plans: Price on request

5. Matillion

Matillion helps businesses with loading, transforming, synching, and orchestrating their data into the cloud infrastructure. With this data migration tool, users can integrate data from various resources, upload it in bulk, and enrich it for different applications. Matillion can also be used to synchronize data into the operational system through reverse ELT procedure.

Key Features of Matillion:

Extracts data from SaaS applications, databases, and files
Loads data directly into cloud data warehouses
Uses ELT architecture, pushing transformations to the target system
Designs pipelines visually with reusable components
Transforms data using SQL, orchestration logic, and built‑in functions
Handles incremental loads and change‑based data replication
Manages orchestration, scheduling, and dependency control
Supports schema evolution and metadata management
Integrates tightly with Snowflake, Redshift, BigQuery, and Azure Synapse
Runs on cloud infrastructure with scalable performance

Matillion

4.0

Starting Price

$ 1000.00

Pro and cons of Matillion:

Pros

Balances automation with transformation flexibility
Reduces engineering effort through visual pipeline design
Fits analytics‑driven cloud data warehouse projects well
Allows complex transformations compared to fully‑managed ELT tools

Cons

Requires cloud infrastructure provisioning
Needs SQL knowledge for advanced transformations
Involves licensing costs in addition to cloud usage

Matillion Pricing & Plans: Price on request

6. SnapLogic

SnapLogic is an Integration Platform as a Service (iPaaS) designed to club data from on-premises resources, SaaS applications, and cloud infrastructure. It can help businesses with the procedure of data integration, automation, and orchestration within the organization.

Further, it helps in creating automated workflows for data integration, ingesting databases from different endpoints, and creating end-to-end database pipelines.

Key Features of SnapLogic:

Connects cloud apps, on‑prem systems, databases, and APIs
Automates data ingestion, integration, and movement across environments
Uses prebuilt connectors (“Snaps”) to speed up integration development
Supports batch, streaming, and real‑time data pipelines
Transforms data using visual pipelines and expression logic
Handles schema changes and data format variations
Runs integrations at scale with elastic cloud execution
Monitors pipelines with logging, alerts, and error handling
Secures data using role‑based access, encryption, and governance controls

Snaplogic

4.2

Starting Price

Price on Request

Pro and cons of SnapLogic:

Pros

Reduces development time with low‑code, visual pipelines
Scales well for high‑volume enterprise integrations
Supports hybrid integration use cases (cloud + on‑prem)
Fits both application integration and analytics ingestion needs

Cons

Requires platform learning for advanced pipeline logic
Costs increase with higher data volume and usage
May feel heavyweight for simple point‑to‑point integrations

SnapLogic Pricing & Plans: Price on request

7. Hevo Data

Hevo Data enables users to easily extract databases from multiple sources into a warehouse, performing data analytics, and using intelligence to take data driven decisions. This end-to-end data pipeline platform can be used for managing data schema, formatting or standardizing data, and automating key ETL (Extract, Transform, Load) processes.

The platform is mainly intended for managed ELT pipelines and analytics data replication rather than complete application or transactional database migrations.

Key Features of Hevo Data:

Connects to SaaS applications, databases, SDKs, and streaming sources
Extracts data automatically with minimal configuration
Loads data into cloud data warehouses and data lakes
Uses ELT architecture, pushing transformations to the destination
Keeps data in sync using near real‑time replication
Handles schema changes automatically without pipeline breaks
Transforms data using no‑code and low‑code transformation layers
Monitors pipelines with alerts, logs, and retry mechanisms
Supports high availability with fault‑tolerant data movement
Secures data using encryption, RBAC, and compliance controls

Hevo Data

Starting Price

$ 299.00

Pro and cons of Hevo Data:

Pros

Reduces engineering effort with fully managed pipelines
Simplifies setup compared to traditional ETL tools
Scales well for analytics‑driven data migration use cases
Fits teams needing fast warehouse ingestion without heavy ops work

Cons

Limits very complex transformation logic compared to ETL‑heavy platforms
Costs increase as data volume and connectors grow
Focuses mainly on analytics destinations rather than operational systems

Hevo Data Pricing & Plans:

Plan	Price
Free	USD 0
Starter	Starts at USD 239/month
Professional	Starts at USD 679/month
Business Critical	Price on request

Conclusion

Extracting databases from multiple systems and loading them into a different system or cloud environment is a difficult task. At the same time, converting databases to suit the new environment needs time and resources. However, with data migration tools, you can effectively plan the entire migration procedure and complete the process faster.

So, don’t wait any longer. Give us, at Techjockey, a call today and get yourself a good data migrator right away!

Published On: March 20, 2023

Yashika Aneja

Yashika Aneja is a Senior Content Writer at Techjockey, with over 5 years of experience in content creation and management. From writing about normal everyday affairs to profound fact-based stories on wide-ranging themes, including environment, technology, education, politics, social media, travel, lifestyle so on and so forth, she has, as part of her professional journey so far, shown acute proficiency in almost all sorts of genres/formats/styles of writing. With perpetual curiosity and enthusiasm to delve into the new and the uncharted, she is thusly always at the top of her lexical game, one priceless word at a time.