10 Best AWS Migration Tools to Consider in 2025

How do you avoid downtime risks during AWS migration? Without the right tools, migrating to AWS can be costly and disruptive.

That’s where AWS migration tools enter. 

These tools don’t just transfer workloads; they ensure your data ecosystem moves seamlessly into a cloud-first architecture. From minimizing downtime to automating complex processes, they form a bridge between legacy systems and modern AWS infrastructure.

In this article, we’ll cover the top 10 AWS migration tools of 2025, highlighting their features, use cases, pros, and cons to help you choose the best fit for your AWS migration.

For a head start, here is a detailed overview of the top 3 tools (editor’s choice):

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Top 10 AWS Migration Tools

Here’s a list of the 10 best AWS migration tools to consider in 2025:

1. Hevo Data

Hevo is a SaaS data pipeline platform that centralizes data from databases, SaaS apps, and files into cloud data warehouses such as Amazon Redshift and BigQuery.

Hevo is a SaaS data pipeline platform that centralizes data from databases, SaaS apps, and files into cloud data warehouses such as Amazon Redshift and BigQuery.

Hevo is built in compliance with AWS regulations to facilitate a smooth migration. The tool ingests data from existing pipelines, stages it in Hevo’s S3 bucket, and loads it into Redshift, helping data engineers build reliable ingestion at scale.

In Hevo, you can set up the Redshift destination either as a part of the pipeline creation process or on the fly. Once configured, Hevo automatically manages data loading and keeps the warehouse in sync with your source systems.

Key features:

• Deduplication: Hevo ensures unique records are loaded into destination tables by using primary keys during replication, preventing duplicate entries at the destination.
• Multi-region workspaces: Manage multiple workspaces across different regions under a single account, with easy workspace creation and region switching. You can migrate and sync data to AWS across different regions.
• In-flight transformations: Enables data cleansing, enrichment, filtering, reformatting, and normalization via drag-and-drop UI or Python scripts before loading.

Use case:

• Migration of e-commerce data: Stream orders, customer activity, and payment events from Shopify, MySQL, and third-party apps into Amazon Redshift or Snowflake.
• Incremental data migration: Hevo’s CDC capability allows financial institutions to migrate mission-critical databases (Oracle, SQL Server, PostgreSQL) into AWS without disrupting ongoing transactions.

Pros:

• UI is straightforward to navigate.
• Real-time data replication provides up-to-date insights.
• Built-in features with clear documentation.

Cons:

• May encounter latency when handling vast datasets.
• Optimized for cloud-based integrations with minimal on-premises support.

Pricing: 

• Starts as a free tier with limited connectors up to 1 million events
• Starter: $239/month up to 5 million events
• Professional: $679/month up to 20 million events
• Business: Custom pricing

Hevo Data is an intuitive and user-friendly platform for real-time data integration. It supports seamless integration with a wide range of data sources, including databases, cloud storage, and SaaS applications. The no-code interface simplifies data pipeline creation, and the automation features help streamline the ETL process. Real-time data replication ensures up-to-date insights, and the platform\'s reliability ensures minimal data loss. Additionally, the error handling and alert system is helpful for proactive monitoring. Hevo\'s support team is responsive and helps resolve issues promptly.

S.P.

Data Engineer

2. AWS Database Migration Service (DMS)

AWS Database Migration Service (DMS) is a fully managed service designed to support data migration from various source databases to AWS targets, including relational databases, NoSQL, and data warehouses. 

AWS DMS discovers source databases using Fleet Advisor and converts schemas with the Schema Conversion Tool (AWS SCT). Once schemas are prepared, it migrates data either as a one-time transfer or ongoing replication on AWS-managed servers. This supports AWS integration strategies and helps businesses modernize database infrastructure.

The serverless architecture provisions and scales resources with built-in high availability, improving AWS fault tolerance during migrations and eliminating tasks like capacity planning. It collects source database metadata, calculates required capacity, and starts replication automatically.

Key features:

• Visual mode: Virtual Mode supports all DMS-compatible target DBs, including MySQL, PostgreSQL, Amazon Redshift, and Amazon RDS for Db2. You can perform schema conversions without connecting to a target database.
• AWS CloudWatch: The CloudWatch monitors AWS DMS task metrics over a specified period and sends notifications if thresholds are exceeded. Alarms trigger only when a metric’s state changes and persists for a defined number of periods.
• Assessment reports: The DMS Schema Conversion tool generates a database migration assessment report that summarizes all the schema conversion tasks. You can view details of schema elements that can’t be converted to the target DB engine.

Use case:

• Real-time analytics: Organizations can replicate production databases into Amazon Redshift or Amazon S3 using DMS and enable real-time reporting without impacting live workloads.
• Multi-tenant data movement: SaaS providers use DMS to isolate and replicate tenant-specific data into dedicated databases, ensuring regulatory compliance.

Pros:

• Offers fast and easy migration capabilities.
• Expensive for large-scale migrations.
• DMS is easy to set up.

Cons:

• CDC implementation in AWS DMS is complex.
• Lacks automation and requires manual triggers.
• Limited built-in transformation capabilities.

Pricing:

AWS DMS pricing is pay-as-you-go, based on replication instance hours, storage, and optional features, with a free tier plan. For detailed pricing, use the AWS Pricing Calculator.

3. Carbonite Migrate

Carbonite Migrate is a purpose-built data, application, and systems migration solution designed to transfer workloads seamlessly across physical, virtual, and cloud environments. 

With agent-based, byte-level replication, the platform enables secure, low-risk migrations across regions. It’s strong encryption meets AWS SQL server configuration requirements, making it reliable for enterprises with sensitive data.

The tool supports encrypted Amazon EBS target servers that enable users to create VMs on encrypted volumes, either individually or for all targets. If the source AMI supports encrypted boot volumes, all volumes are secured; otherwise, only data volumes are encrypted, ensuring security.

Key features:

• AES-256 encryption: Data in transit between the source and AWS target is protected by strong encryption to meet compliance requirements. Role-based access further segments migration operations.
• Granular synchronization: The tool replicates data at the block level, tracking and synchronizing only the changes made during the migration window. This keeps the source and target systems nearly identical to minimize downtime during migration.
• Final cutover: Admins can test migrations without impacting the source, validate applications in AWS, and schedule or trigger the final cutover. Bandwidth throttling and in-flight data compression minimize impact, even over limited WANs or VPNs.

Use case:

• Multi-cloud synchronization: For workloads distributed across different cloud providers, Carbonite can automatically manage and synchronize data across multiple clouds.
• Avoiding vendor lock-in: Carbonite enables migrations across hypervisors, cloud platforms, and physical hardware, freeing organizations from vendor or platform lock-in concerns.

Pros:

• Supports customizable scripts and role-based access control.
• Maintains data integrity during migrations.
• Provides detailed reports.

Cons:

• Uploading large files takes longer than expected.
• Less flexible for Linux environments.
• Not ideal for non-technical users.

Pricing:

Fill out the form to get in touch with their team.

4. Airbyte

Airbyte is an open-source data integration platform that helps organizations migrate and synchronize data into AWS environments. It specializes in building reliable ELT-style pipelines that move data between applications, databases, and cloud warehouses.

Airbyte integrates with AWS services by using S3 for storage, AWS Secrets Manager for credentials, and IAM roles for secure access. When deployed on EKS or within a VPC, it helps AWS data engineering teams with seamless pipelines into analytics platforms.

Airbyte offers a unified API across its OSS, Cloud, and Enterprise editions, allowing developers to manage sources, destinations, and workspaces programmatically. It integrates smoothly with orchestration tools like Airflow and also powers Airbyte Embedded use cases.

Key features:

• API integration: Airbyte exposes a unified API across OSS, Cloud, and enterprise editions, enabling developers to manage connections, sources, and destinations programmatically.
• CDC: Airbyte supports log-based CDC using Debezium for databases such as PostgreSQL and MySQL, allowing incremental replication. CDC captures and migrates changes continuously to the AWS destination without repetitive full data loads.
• Schema-drift handling: The platform automatically detects schema drifts and applies dbt-based normalization to keep the data consistent and analytics-ready in AWS destinations.

Use case:

• Customer 360 view: Sync data from CRMs (HubSpot, Salesforce), support tools (Zendesk), and billing systems (Stripe) into a warehouse to build a single, live customer profile.
• IoT data integration: Collect sensor or device data from APIs, sync it to cloud storage (like BigQuery or Redshift), and analyze performance trends across deployments.

Pros:

• Extensive library of sources and destinations.
• Supports multiple deployment options: self-hosted, cloud, hybrid.
• Easy to set up.

Cons:

• Lacks clear documentation.
• Not robust in error-reporting.
• Some connectors aren’t stable.

Pricing:

Airbyte offers a free, self-hosted open-source plan as a starter option. For the cloud version, pricing is volume-based, with a 14-day free trial available for Airbyte Cloud. Team and Enterprise plans are customized according to business requirements.

5. Cloudsfer

Cloudsfer (by Tzunami) is a SaaS file/content migration and backup platform that supports cloud-to-cloud and on-prem-to-cloud transfers across 20+ systems. Commonly used to move file shares and cloud storage into Amazon S3 and Microsoft 365.

Cloudsfer connects the on-prem server or file system with the target destination through its web-based interface. IT teams can set migration rules such as delta sync, metadata preservation, or scheduling within the dashboard.

The tool preserves metadata, permissions, and file versions, allowing organizations to maintain historical records when building modern environments such as AWS data lake. Encrypted transfer and detailed reporting make migration efficient for both small and large enterprises.

Key features:

• Cloud-sync: Beyond one-time transfers, Cloudsfer offers two-way synchronization between source repositories and destinations. It continuously monitors for file changes and keeps both environments updated, avoiding version mismatches.
• ECM migration: For organizations using legacy systems, Cloudsfer provides targeted tools such as Tzunami Deployer to enable structured migration into modern environments.
• Secure transfer: Migrations are encrypted using secure protocols such as SSL/TLS. Data isn’t stored on the server to minimize exposure risks and maintain compliance.

Use case:

• Version-aware transfer: Cloudsfer can migrate the latest file version and multiple historical versions from multiple platforms to maintain full version history integrity.
• Large-scale cloud syncing: Supports scheduled and automated backups between cloud platforms or local storage for scalable data protection with real-time replication.

Pros:

• Offers delta migration to migrate only the changed or new data.
• Real-time progress updates and comprehensive reporting.
• Features a user-friendly UI.

Cons:

• Lacks advanced file management features.
• It can become costly for large-scale migration projects.
• Customer support lacks responsiveness.

Pricing:

• Basic: $25 for 25 GB per month
• Standard: $100 for 100 GB per month
• Pro: $250 for 250 GB per month

6. Dynatrace

Dynatrace is a unified observability platform that collects metrics, traces, and logs and integrates directly with the AWS Application Migration Service (MGN) and multiple AWS native services.

Dynatrace uses extensions to collect data from external or custom sources and run it through the Extension Execution Controller (EEC). The data is then mapped into Dynatrace’s topology and AI engine, giving context-aware observability.

Dynatrace’s uniqueness lies in its OneAgent, a single per-host agent that collects monitoring data across servers, microservices, and applications. It auto-discovers processes, activates instrumentation for each technology, and injects user-experience tags without manual setup.

Key features:

• Davis AI: Davis AI detects anomalies and maps dependencies across applications and services. When combined with AWS Glue architecture, teams can validate migration workflows and prepare data for advanced analytics pipelines post-migration.
• Automation: Dynatrace’s AutomationEngine enables the creation of automated workflows based on observability and security insights to accelerate issue resolution and response times.
• Mapping: Smartscape builds and continuously updates a real-time topology of applications, services, hosts, and processes. This creates a clear, visual dependency map that supports root-cause tracing and migration planning.

Use case:

• Cloud migration validation: Dynatrace helps validate AWS, Azure, or GCP migrations by automatically mapping dependencies across applications, databases, and services.
• Cloud cost optimization: Dynatrace goes beyond monitoring by tracking resource utilization and idle services, helping teams cut unnecessary cloud costs while maintaining performance.

Pros:

• Provides deep insights into migration workflows.
• Robust in identifying and reporting issues.
• Implementation is simple and easy.

Cons:

• Users face a learning curve despite its user-friendliness.
• Dynatrace’s pricing is quite high.
• Multiple configurations to handle.

Pricing:

• Retention with Included Queries: $0.02 per GiB-day
• Full-Stack Monitoring: $0.08 per hour for an 8 GiB host.
• Infrastructure Monitoring: $0.04 per hour for any host size. 
• Kubernetes Platform Monitoring: $0.002 per hour per pod.
• Application Security: $0.018 per hour for an 8 GiB host.
• Real User Monitoring: $0.00225 per session.
• Synthetic Monitoring: $0.001 per request.
• Ingest & Process: $0.20 per GiB.

7. Fivetran

Fivetran is a cloud-based data integration platform designed to automate the extraction and loading of data from multiple sources into AWS data destinations like Amazon Redshift and S3.

Fivetran automates data ingestion from multiple sources into AWS cloud platforms, continuously replicating changes using CDC. Data engineers can maintain centralized, ready-to-query data warehouses on AWS with minimal operational overhead.

Fivetran’s HVR is designed for real-time, high-volume replication from on-premises systems such as SAP, Oracle, and mainframes to the cloud. It leverages prebuilt data models to enable parallel loading and allows post-load transformations in the destination using SQL.

Key features:

• Connectivity: Fivetran provides direct, optimized connectivity to AWS environments, leveraging AWS PrivateLink to route data securely over the AWS network.
• Deployment: The tool supports cloud-hosted, hybrid, and HVR self-hosted deployments, offering flexibility to migrate data in the preferred architecture. Unified deployment ensures pipelines remain centrally managed even in disconnected environments.
• Connector SDK: Fivetran offers a Connector SDK and REST API to build custom connectors for integrating unsupported on-prem or proprietary data sources into AWS workflows.

Use case:

• ROI attribution: With Fivetran’s automated pipelines, the team builds a unified dashboard that ties ad spend to revenue attribution in near real-time, saving analysts from manual exports.
• Financial compliance: Consolidated datasets automate audit trails, generate compliance reports, and reduce the risk of regulatory penalties through real-time visibility.

Pros:

• Links data sources and destinations within minutes.
• Allows teams to replicate data from warehouses to operational systems.
• Provides strong security with built-in recovery and error detection features.

Cons:

• Partner-built connectors lack Fivetran’s backing and experience reliability issues.
• Customer support is not responsive.
• Pricing becomes expensive for vast data volumes.

Pricing:

Pricing is based on MAR, meaning you pay according to the number of unique rows you insert, update, or delete each month. You can explore the platform with their 14-day free trial.

8. Corent

Corent SurPaaS MaaS (Migration as a Service) is a SaaS-based, intelligent migration and modernization platform designed to assess, plan, and execute application and data center migrations to public clouds.

Corent SurPaaS automates discovery and dependency mapping, giving insights into servers, software, and applications, helping enterprises and vendors plan, execute, and modernize workloads or convert legacy apps to AWS-hosted SaaS.

The tool offers AI-driven recommendations for lift-and-shift, refactoring, or SaaS transformation of legacy applications. The platform also streamlines deployment by generating AWS landing zones and Infrastructure-as-Code templates.

Key features:

• CIO & executive dashboards: Offers real-time insights on migration progress, costs, and cloud readiness, enabling leadership to monitor AWS migration status and make data-driven strategic decisions.
• Extensibility: Supports scripts and APIs to automate pre/post-migration tasks, integrate with AWS tools, and adapt workflows to enterprise requirements.
• Reporting: SurPaaS supports parallel migration of multiple workloads with detailed issue reports and validation steps, allowing rapid iteration for reliable, auditable AWS migrations.

Use case:

• SaaS transformations: Independent Software Vendors (ISVs) with legacy on-premise applications can leverage Corent to convert existing apps into multi-tenant SaaS offerings without rewriting code.
• Cloud cost simulation: A finance company uses Corent to simulate cloud costs across providers before migration. Teams can predict monthly bills and select the most cost-effective deployment option.

Pros:

• Utilizes machine learning to assess workloads.
• Supports various cloud platforms, facilitating cross-cloud migrations.
• Provides tools for cost modeling and optimization.

Cons:

• Offers limited support for on-premises infrastructures.
• May experience latency issues when migrating vast datasets.
• Limited public community support.

Pricing:

• MaaS Start: Free plan
• MaaS Smart: $499 per month
• MaaS Professional: $799 per month

9. CloudFuze

CloudFuze is a cloud-to-cloud migration platform designed to facilitate the secure and efficient transfer of data between various cloud storage services. Ideal for handling large-scale migrations involving multiple users and complex data structures.

The tool facilitates the transfer of content between over 40 cloud storage platforms. The service supports both single-user and multi-user migrations, ensuring that data is accurately preserved during the transfer process.

CloudFuze stands out by supporting the migration of multiple data types, including files, emails, and cloud-specific documents, while preserving metadata and permissions. Its incremental migration and pre-migration assessment tools reduce risks and minimize downtime.

Key features: 

• Encryption: CloudFuze employs RSA 2048-bit encryption and OAuth 2.0 authentication to secure access and encrypt data transfers to and from AWS and other clouds.
• Auto-mapping: CloudFuze supports two user mapping methods:
  • Auto-mapping matches users based on email aliases.
  • CSV-based mapping allows for customized user mappings.
• Granular control: Features a dedicated admin console designed for IT teams to manage, monitor, and govern migration progress in real-time.

Use case:

• Compliance-driven migration: CloudFuze supports compliance-driven migrations to Amazon S3 and other AWS destinations. Its incremental migration feature is particularly valuable for building a reliable AWS data pipeline with minimal downtime.
• Progress reporting: CloudFuze offers dedicated migration teams and detailed dashboards to monitor, manage, and troubleshoot migrations end-to-end for mission-critical projects.

Pros:

• Supports a wide range of data types.
• The setup process is straightforward and time-efficient.
• Offers a responsive and helpful support team.

Cons:

• System performance can be sluggish at times.
• Users have experienced occasional performance-related challenges.
• Users report restricted access to certain features.

Pricing:

You can request a custom quote.

10. CloudZero

CloudZero is a cloud cost intelligence platform that specializes in providing real-time cost monitoring and management throughout the AWS migration lifecycle.

CloudZero automates AWS billing and resource data integration using CloudFormation templates and IAM roles, ensuring secure, efficient access. This workflow helps organizations centralize cloud cost management and gain clear visibility into AWS spending.

For organizations working with AWS data lake, CloudZero stands out by integrating real-time cloud cost intelligence directly into engineering workflows. Its CostFormation technology automates the allocation of cloud spend by defining custom dimensions.

Key features:

• Dashboard: CloudZero’s MAP dashboard provides essential visibility into AWS Migration Acceleration Program credits and tagging status. It helps organizations track workloads and maximize savings.
• Extensibility: CloudZero integrates with AWS Cost Explorer, CloudTrail, billing APIs, and common third-party analytics tools like Looker, providing a comprehensive view of both financial and operational aspects.
• Kubernetes: The tool integrates Kubernetes cost data with overall AWS usage, providing hourly updates for containerized workloads.

Use case:

• Cost tracking: CloudZero helps SaaS companies calculate cost per customer, and per transaction. For example, a video-streaming service can track the cost per streamed hour and use that to optimize pricing models.
• Cross-cloud governance: For companies running multi-cloud strategies, CloudZero provides unified visibility, helping teams compare costs and optimize usage across platforms.

Pros:

• Provides granular insights into cloud spending.
• Intuitive interface and straightforward implementation.
• Simplifies cost allocation and tracking through tagging mechanisms.

Cons:

• Limited customization options.
• Complex for teams without cloud management expertise.
• No support for file sharing and workspace collaboration.

Pricing:

Complete the form to receive pricing details tailored to your needs.

What Are the Key Factors in Evaluating Migration Tools for AWS?

Here are the key factors to consider while choosing an AWS migration tool:

1. Interface

A user-friendly interface (web UI, CLI, or API) that aligns with the team’s technical expertise accelerates adoption and reduces errors.

2. Operational flexibility

The migration tool’s deployment, whether cloud, on-premises, or hybrid, should fit your infrastructure and offer strong integration with AWS services and third-party analytics tools.

3. Compatibility

Assess whether the tool supports your workloads, including databases, applications, servers, or containers, and is compatible with both source systems and AWS services.

4. Reporting & analytics

Continuous visibility is a critical factor in evaluating migration tools. Dashboards that display migration progress, success rates, and error tracking provide teams with real-time actionable insights.

5. Cost management

Tools that provide real-time visibility into AWS usage help teams monitor expenses and act quickly. By tracking costs through budget alerts and team-specific allocation, you can make informed decisions and prevent overspending.

6. Scalability

An effective migration tool should scale to handle large volumes of data and high-throughput workloads without errors.

Hevo: The No-Code AWS Migration Software

Among various AWS ETL tools, Hevo simplifies AWS migrations with its no-code, fully managed data pipelines, enabling organizations to move data from multiple sources into AWS.

With support for real-time replication, automated transformations, and seamless integration with AWS services, Hevo ensures minimal downtime and accurate data delivery. The user-friendly UI fosters quick onboarding and provides real-time, granular pipeline visibility.

Moreover, Hevo allows you to build custom connectors, apply tailored transformations, and maintain robust control without complex orchestration, making it an ideal solution for SMBs.

To sum up, if you want a secure, modern data pipeline tool that simplifies cloud migration, sign up for Hevo’s 14-day free trial and see how it powers your modern data infrastructure.

FAQs on AWS Migration Platforms