Secure, AI-driven data migration with top companies like Entrans, Accenture, and Cognizant. Ensure seamless cloud adoption, zero downtime, and future-ready data.
Top 10 Data Migration Services Companies in 2026
5 mins
January 23, 2026
Author
Jegan Selvaraj
TL;DR
Data migration services minimize downtime, ensure data integrity, and make legacy systems cloud-ready with AI-driven automation.
Entrans leads with Agentic AI integration, modernizing data pipelines and enabling AI-ready infrastructure during migration.
Top providers like Accenture, Cognizant, and Deloitte use proprietary tools to accelerate migration while reducing risk and cost.
Future trends focus on zero-downtime migration, multi-cloud strategies, edge-to-cloud movement, and AI-enhanced governance.
Data is a valuable asset only when it is secure and accurate. For continuous growth, data migration has become a critical foundation as it supports legacy systems adopting cloud platforms. Data migration services enable organizations to move data securely and accurately.
Data migration companies bring in the proven methodologies and governance frameworks to manage complexity at scale. They reduce risk, minimize downtime, and ensure data integrity.
In this post, we will see the best data migration services IT services companies in 2026 that can unlock new platforms and technologies without operational disruption.
Table of Contents▾
How We Selected the Top Data Migration Services Companies
Industry experience: We have prioritized data migration companies that have expertise in handling complex data migration projects.
Data governance and Security capabilities: We have reviewed how data migration companies address data security, privacy, regulatory compliance, access controls, and risk management in complex enterprise environments.
Cost: We have prioritized data migration companies that demonstrate clear pricing structures and measurable business outcomes.
Client review: We have considered the feedback from trusted platforms such as Clutch. They show the service quality, reliability, and customer satisfaction.
Top Data Migration Services Companies
The top data migration services providers for IT services in 2026 are listed below.
1. Entrans
Entrans is an AI-first digital transformation and consulting firm founded in 2020. We specialize in SaaS, automation, analytics, product engineering, data engineering, and full-stack development.
Key services of Entrans:
AI-led assessment: We conduct a comprehensive audit of the environment and find any hidden connections between legacy applications, databases, and infrastructure. They calculate the complexity of refactoring and prioritize which data should migrate first.
BI and Analytics Platform Migration: We have successfully migrated business intelligence and reporting platforms such as Tableau, Qlik, SSRS, OBIEE, and Crystal Reports. They include a full data model, dashboard, and permissions migration.
Cloud and Infrastructure Migration: Entrans builds cloud and data architectures that are designed to support AI and ML workloads by ensuring migrated data is structured for future intelligence, forecasting, and analytics.
Agentic AI Integration: We integrate proprietary Agentic AI frameworks directly into the migration process and re-architect workflows. They automate decision-making as data moves between systems. They handle autonomous data governance to monitor data quality, security, and compliance in real-time during and after the migration.
Database and Data Layer Modernization: We migrate data specifically to support modern AI/ML integration. Update underlying data architectures to support real-time streaming and high-performance analytics platforms such as Databricks and Snowflake. We set up AI-driven pipelines that handle the whole data lifecycle management.
AI-Driven Legacy Modernization: We employ AI to assist in analyzing the code and refactoring outdated programming languages into modern cloud-native microservices. Using AI, we migrate unstructured legacy data by using AI to extract and structure the information for a new format.
Managed Services: We provide AI consulting services, including generative AI strategy, prototyping, and integration. IT utilizes migrated data with LLMs, RAG frameworks, and autonomous agents for enhanced decision automation.
2. Accenture
Accenture is a leading Information Technology (IT) and management consulting company. Their approach focuses on reducing cost and risk through structured methodologies and reusable tools.
Key Services of Accenture
Accenture utilizes proprietary AI-driven automation and migration factories to execute large-scale workload transfers. They have achieved a reduction of up to 35 % in delivery time.
They re-architect monolithic legacy systems into cloud-native microservices. They modernize data to support real-time analytics and generative AI.
3. ScienceSoft
ScienceSoft is a US-based IT consulting and software development company. They provide end-to-end data migration solutions focused on migrating complex databases and applications to the cloud. They ensure 99.9% availability and full compliance with global standards such as HIPAA, GDPR, and ISO.
Key services of ScienceSoft:
ScienceSoft manages the entire lifecycle, from auditing and mapping dependencies to selecting the optimal 7R strategy. They ensure 99.9% availability during transitions to AWS, Azure, or Google Cloud.
They develop custom ETL scripts and automated tools to cleanse, validate, and reconcile data, ensuring zero-loss integrity between source and target systems.
4. Mission Cloud
Mission Cloud is an AWS Premier Tier Services partner that specializes in cloud migrations, modernizations, and AI. Their data migration services are structured around the AWS Migration Acceleration Program (MAP).
Key services of Mission Cloud:
Mission Cloud does a Migration Readiness Assessment (MRA) to identify gaps in an organization. They check for cloud readiness across six dimensions.
They also do migration and modernization services using automated tools by refactoring applications into cloud-native services such as AWS Lambda or Amazon EKS.
5. Rackspace Technology
Rackspace Technology is a leading end-to-end hybrid cloud and AI solutions company. They provide an end-to-end, multi-cloud migration service. They prioritize zero-business disruption, minimizing risk through expert-led migration waves and long-term managed cloud operations.
Key services of Rackspace Technology:
Rackspace Technologies provides an end-to-end framework designed to accelerate the migration of complex workloads to AWS, Azure, and Google Cloud.
They specialize in migrating legacy, on-premises databases to cloud-native platforms such as Amazon Aurora, Azure SQL, or Snowflake. Their services include automated schema conversion and Change Data Capture (CDC) to ensure zero downtime.
6. Infracore
Infracore is an award-winning Microsoft Cloud Solutions provider that specializes in transitioning complex workloads to secure cloud environments. They deliver secure, stable, and scalable technology solutions, including infrastructure management and cloud services.
Key services of Infracore:
Infracore specializes in moving complex on-premises workloads to AWS, Azure, and Microsoft 365. They employ security-First frameworks that include a tailored incremental or batch migration plan.
They provide end-to-end support for server and storage migration, including physical-to-virtual transitions. This includes migrating critical enterprise systems such as ERP/CRM and modernizing file-sharing ecosystems.
7. Cognizant
Cognizant is a leading IT solution provider. Their data migration services are focused on an AI-powered migration factory model. They are well-known for Intelligent Data Works and Cloud Migration Factory frameworks.
Key services of Cognizant:
Cognizant uses its proprietary platforms, such as Cognizant Skygrade and Intelligent Data Works. They use Generative AI to discover hidden dependencies, automatically refactor legacy code, and map complex data schemas.
Cognizant manages the complete migration of applications, infrastructure, and databases to platforms such as Databricks, Snowflake, and AWS.
8. Simform
Simform is a leading digital engineering partner that specializes in high-velocity, AI-ready data migration for tech-driven enterprises.
Key Services of Simform
Simform facilitates seamless moves between major providers or from on-premises servers to the cloud. They employ a zero-time downtime approach using tools such as Azure Database Migration Service.
They specialize in migrating siloed legacy data into unified Cloud Data Warehouses or Data Lakes. This includes automated schema conversion, data cleansing, and creation of robust ETL/ELT pipelines.
9. Deloitte
Deloitte is a global professional services network and one of the Big Four firms. They help organizations solve complex business challenges and drive transformation.
Key Services of Deloitte
Deloitte utilizes an industrialized Migration Factory model that utilizes Generative AI and automation tools to refactor legacy code and automate up to 80% of data mapping.
They specialize in transitioning legacy data into modern Data Intelligence Platforms. This involves structured data cleansing and semantic layering to ensure that migrated data is immediately high-quality and agent-ready for enterprise-wide AI applications.
10. Vention
Vention is a global software development and IT consulting firm. They deliver custom software engineering, dedicated development teams, and technology services, including web, mobile, SaaS, and cloud applications.
Key services of Vention:
Vention specializes in migrating legacy siloed data into modern cloud Data Warehouses and Lakes. Their engineers build automated ETL/ELT pipelines that cleanse and standardize data during the move.
They do a structured cloud readiness assessment to map dependencies and choose the optimal path.
Main Services Offered by Data Migration Services Companies
Data migration service companies are focused more on minimizing the business risk while upgrading to a new technology stack. The main services they offer are
Assessment and Planning: Before starting to move any data, we need to perform a full audit to avoid project failure. Analyze the existing infrastructure and check for cloud readiness. Do Data profiling and ensure that only high-quality data is migrated.
Data Extraction, Transformation, and Loading (ETL): data migration services include changing the data format to make it more useful in the target system. Extract data from the source, transform it into the required format, and load it securely.
Data cleansing and Standardization: Data migration services include removing duplicates, finding inconsistencies, and standardizing the data format.
Database and Cloud Migration: Data migration services include moving data between different databases to a cloud-based environment, such as Google Cloud SQL or Azure. These data migration service providers help businesses switch cloud providers to avoid vendor lock-in or to utilize specific AI tools.
Application and System migration: This service means moving the entire software ecosystem from legacy ERP to modern SAP.
Legacy Modernization: Data migration service companies offer re-architecting monolithic applications to modern microservices.
Post migration and Support: Data migration services companies provide reconciliation, performance tuning, 24/7 monitoring, and support. They provide issue resolution and ongoing support after migration.
Risks Involved in Data Migration Services
Data migration is viewed as a high-stakes surgical procedure for any organization. Risks associated with data migration are.
Data Loss or Corruption: If the migration is not properly performed, data might become lost or unused. Data might become corrupted or duplicated during transfer if validation and backups are inadequate.
Downtime and Business Disruption: Improper planning and migration can lead to system downtime. This will affect business operations and user productivity.
Data Security Breaches: Data is at risk while moving between systems. Without security protocols, the data can become corrupted and vulnerable. Encryption, access controls, or secure transfer mechanisms are needed.
Data quality: The quality of the data is very important. Migrating inaccurate, incomplete, or duplicate data can impact reporting, analytics, and downstream applications.
Financial and operational risks: Miscalculation while estimating the complexity of legacy systems can lead to exceeding the budget.
Compliance and Regulatory Risks: Failure to meet industry or regional compliance requirements can result in legal and regulatory penalties.
How to Choose the Best Data Migration Services Company for Your Needs
Choosing the data migration service provider is about ensuring data arrives AI-ready and Secure-by-Design. The steps required to consider when selecting the best data migration companies are
Define your goals: Start by defining the data volume, complexity, source and target systems, timelines, and compliance needs.
AI-readiness: Look for the capabilities of a data migration services company that can make your data AI-ready. They just don’t move data, they prepare for autonomous agents. Check the data migration companies that use Generative AI to autonomously identify and fix the ETL process.
Data Migration expertise: Focus on the data migration services company’s proven experience to handle similar data environments, industries, and migration scenarios.
Data governance and security capabilities: Data security and compliance should not be negotiable. Ensure that the data migration service provider follows best practices. It should align with the industry standards.
Client review and market reputation: Analyze the client feedback on major platforms such as Clutch and G2. Peer insights provide service data quality and reliability.
Pricing: Evaluate pricing transparency, project scope, and expected business outcomes to ensure the investment aligns with your goals.
Future Trends in Data Migration Services
Companies are no longer moving data alone; they are re-architecting it for the era of autonomous agents and sustainable computing.
Agentic Migration: Traditional migration will be replaced by migration agents. They will identify data quality issues and execute transformations without step-by-step human guidance.
Edge-to-cloud migration: Edge Data migration will take the lead. They will filter the data and summarize at the edge before the high-value insights are migrated to the central hub.
AI-driven and automated migration: Artificial intelligence and machine learning are increasingly integrated into migration tools to automate data mapping, validation, transformation, and error detection, improving speed and accuracy. This reduces manual effort.
Multi-cloud strategies: In the future, data migration service companies will shift their focus to multiple cloud providers and on-premise systems. They can widen their expertise across diverse environments.
Zero-downtime migration: Tools and practices support real-time replication, and synchronization allows data to migrate without interrupting ongoing operations.
Data governance and compliance: Migration projects will embed more governance, lineage tracking, and compliance enforcement into workflows.
Why Choose Entrans as Your Data Migration Services Partner?
Successful digital transformation depends on how well the data is managed and organized. Partnering with a Data migration services partner like Entrans will reduce risks associated with data loss, downtime, and security breaches.
We bring in the proven methodologies, frameworks, and automation tools to ensure data migration is done correctly. We focus on innovation, performance, and making future-ready data strategies.
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Frequently Asked Questions (FAQs)
1. What are data migration services?
Data Migration services mean a specialized process of selecting, preparing, extracting, and transforming business digital information from one system to another. This includes moving data between different storage types, file formats, databases, or from on-premises servers to cloud environments such as AWS, Azure, or Google Cloud.
2. Can any type of data be migrated?
Yes, all types of digital data can be migrated. Most of the structures, unstructured, and semi-structured data can be migrated. IT depends on complexity and legacy system migration.
3. Mention the common type of data migration.
Types of data migration include database migration, cloud migration, storage migration, application migration, legacy system migration, and data center migration.
4. How are the complex data mappings handled?
Complex data mappings are managed through data mapping documents and ETL tools. They are managed through transformation rules, automated mapping tools, and validation processes.
5. How is security ensured by data migration companies?
Security is ensured using encryption, access controls, and secure transfer protocols. It should align with the industry regulations and data protection standards.
6. How is downtime minimized during data migration?
Downtime is managed by phased migration. Parallel system runs, real-time replication, and scheduled cutover strategies also help in minimizing downtime.
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Jegan Selvaraj
Author
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Secure, AI-driven data migration with top companies like Entrans, Accenture, and Cognizant. Ensure seamless cloud adoption, zero downtime, and future-ready data.