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Top 10 Data Modernization Companies in 2025
Top 10 Data Modernization Companies in 2025Discover the top data modernization companies of 2025 offering cloud migration, legacy transformation, governance, and AI-ready data platforms for enterprise growth.
5 mins
Author
Kapildev Arulmozhi
TL;DR
  • Modernizing outdated data systems helps businesses unlock faster insights, reduce costs, and improve decision making across the organization.
  • The best data modernization companies combine cloud migration, governance, AI-driven analytics, and legacy transformation to build a scalable data foundation.
  • Choosing the right partner requires looking at expertise, industry experience, security certifications, and proven success stories.
  • Entrans stands out with its cloud-native engineering approach, delivering up to 70 percent faster integrations and significant infrastructure cost reductions.
  • Are you still hanging on to legacy systems that hinder innovation? Data modernization services help organizations upgrade outdated databases, migrate to the cloud, and create more secure data environments. 

    Data modernization services leaders provide the technical expertise, tools, and processes necessary to handle complex migrations. Leading data infrastructure modernization firms optimize data pipelines and data quality to ensure long-term performance.

    In this article, we will highlight the leading data modernization providers that have helped organizations to stay competitive and future-ready.

    How We Selected the Top Data Modernization Companies

    To select the leading data modernization providers, we have followed the steps below.

    • Proven Industry Experience: We have analyzed the data modernization services leaders' successful track record and validated their case studies and client reviews. They should have demonstrated a strong track record of delivering complex, enterprise-grade modernization projects across various industries.
    • Range of Services: We have mentioned data modernization services leaders that offer end-to-end data modernization services, including strategy, transformation, migration, and governance. They should also offer specialized services like legacy data modernization, data cleansing, and validation.
    • Technical capabilities: We have prioritized leading data modernization providers that have strong technical teams, certified professionals, and scalable delivery models.
    • Security and Compliance: We have prioritized leading data modernization providers that ensure modernization does not compromise data security or regulatory requirements.
    • Client Feedback: We have verified reviews and ratings from trusted platforms such as Clutch to assess performance, reliability, and service quality.
    • Pricing: We have assessed the leading data infrastructure modernization firms that show clear pricing or hourly rates on Clutch. Their structure should be transparent and should have no hidden fees.

    Top Data Modernization Companies

    The leading data infrastructure modernization firms are listed below

    1. Entrans

    Entrans is an AI-first digital engineering partner that helps you build cloud-native ecosystems. We specialize in helping organizations with SaaS, AI/automation, cloud, and full-stack engineering to build scalable products and modernize legacy systems. We help in building cloud-native ecosystems that turn fragmented data into actionable insights.

    Data Modernization Company Entrans

    Key Services of Entrans

    • Cloud strategy, migration: We help organizations to move their data infrastructure to the cloud with a focus on re-architecturing for performance and cost optimization.
    • Modern Data Platform: Entrans builds a unified source of truth, including a data lake and Data Warehouse Modernization using cloud-native platforms like Snowflake, AWS, Redshift, and Google BigQuery. Overall, we provide a full spectrum of data modernization services.
    • Legacy Modernization: We migrate legacy data to cloud-native platforms and re-architect monolithic or outdated architecture into modern and cloud-native ecosystems.
    • Advanced Analytics and AI: Entrans supports building BI dashboards and self-service analytics. Using our AI-first data drive approach, we enable predictive analytics and AI use cases by creating data platforms.
    • Data Governance and security: We help set up governance frameworks, including data lineage, classification, and policy controls. They ensure master data consistency (MDM) across systems to build trusted data foundations.
    • Managed Services: We provide data modernization consulting services, operational support, application support, and IT operations post-modernization.
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    2. Accenture

    Accenture is a leading Information Technology (IT) and management consulting company. They transform an organization’s ability to unlock the intrinsic value of its data.

    Data Modernization Company Accenture

    Key Services of Accenture

    • Accenture provides end-to-end data modernization services from strategic planning to technical migration of legacy systems.
    • They design and implement a new cloud-native data foundation, migrating data and AI/ML models that include complex work like Mainframe modernization.
    • Accenture holds strategic partnerships with leading platforms like Accenture AWS Business Group, Microsoft Azure, and Google Cloud.

    3. Cognizant

    Cognizant is a global IT software company that specializes in digital transformation and technology modernization. Through their accelerator-driven platform, Cognizant BigDecsions, they transform legacy data ecosystems into a scalable, AI-ready cloud-based data backbone.

    Data Modernization Company Cognizant

    Key Services of Cognizant

    • Cognizant specializes in migrating legacy data to cloud-native architectures using tools like Cognizant Data and Intelligence Toolkit-Migration Studio, and Enterprise Data Migrator.
    • Cognizant utilizes platforms like Intelligent Data Works and Data Modernization platforms with AI/ML accelerators. Through this, they have automated the stages of the data lifecycle, including data integration, data modeling, and quality assurance. This has shown a significant reduction in manual effort and speeds up the delivery.

    4. IBM

    IBM is an IT consulting company that specializes in delivering secure, enterprise-grade, hybrid multicloud solutions. By utilizing platforms like IBM’s WatsonX.data, IBM Db2, they create a unified data fabric that supports advanced analytics and AI-driven decision-making.

    Data Modernization Company IBM

    Key Services of IBM

    • IBM offers modernization services like deploying analytics tools like Cognos Analytics and building models using watson.ai. They accelerate the data-to-insight lifecycle to unlock the modernized data for better decision-making and operational efficiency.
    • IBM helps in migrating and re-platforming legacy data to modern environments like IBM WatsonX data lakehouse and all major public clouds.

    5. Deloitte

    Deloitte is one of the Big Four accounting firms that delivers cloud-enabled business transformation by migrating and modernizing the core systems. They transform legacy data assets and architectures into a scalable, cloud-based ecosystem.

    Data Modernization Company Deloitte

    Key Services of Deloitte

    • Deloitte guides clients in modernizing their data infrastructure by moving legacy data warehouses and systems to cloud platforms. They help in creating data architectures such as Data Fabric or data Mesh and ensure that data is aligned with business goals.
    • Deloitte takes care of data quality, Master Data Management (MDM), and metadata management. This will establish a data governance model, data integrity, compliance, security, and business entities across the ecosystem.

    6. Slalom

    Slalom is a global business technology consulting firm that is known for delivering AI models. They mainly focus on Strategy, technology, and business transformation. They deliver outcomes in all areas, like cloud transformation, data and analytics, and digital product building.

    Data Modernization Company Slalom

    Key Services of Slalom

    • Salom offers end-to-end data modernization services, including migrating data warehouses, refactoring platforms, and utilizing accelerators like the dataGenius AI tool.
    • They establish security frameworks for data governance, security, ethics, and privacy to ensure data integrity and compliance. Through this, they build trust in their data, which is essential for regulated industries and responsible AI adoption.

    7. ScienceSoft

    ScienceSoft is a global IT consulting and custom software development company with over 20 years of experience. They are recognized for their services in diverse areas like healthcare and finance. They offer a full range of services, including custom software development, IT consulting, and managed IT services.

    Data Modernization Company ScienceSoft

    Key Services of ScienceSoft

    • ScienceSoft offers end-to-end data modernization services, including data cleansing, data quality assurance, master data management (MDM), and metadata management.
    • ScienceSoft helps clients in migrating legacy data warehouses to scalable cloud data platforms like Azure Synapse, AWS Redshift/S3, Snowflake.

    8. DXC Technology

    DXC Technology is a Fortune 500 IT services and consulting company that has solved complex and legacy systems. Their main services are to run and modernize the existing IT Outsourcing (ITO) and Enterprise systems.

    Data Modernization Company DXC Technology

    Key Services of DXC Technology

    • DXC specializes in the migration and modernization of data and applications from legacy mainframe systems to cost-effective cloud-native applications.
    • DXC provides data strategy and advisory services to help clients define their data journey and establish a robust data-centric foundation.
    • DXC Technologies focuses mainly on AI, analytics, and governance operationalization. With these insights, they ensure data assets are protected and managed throughout the modernized life cycle.

    9. PwC

    PwC provides a holistic, business-led approach to cloud transformation, which focuses on core business problems rather than just implementing technology.

    Data Modernization Company PwC

    Key Services of PwC

    • PwC implements robust programs for data quality, master data management(MDM), and data governance. They provide a unified cross-functional enterprise view and ensure data is trustworthy.
    • PwC used more AI and machine learning capabilities by deploying advanced analytics solutions, creating data lakes for unstructured data, and necessary data pipelines for data-driven decision making.

    10. Capgemini

    Capgemini is a global IT consulting company that delivers tangible business value. They provide an end-to-end data modernization journey that is focused on achieving tangible business outcomes.

    Data Modernization Company Capgemini

    Key Services of Capgemini

    • Capgemini establishes a modern data foundation and fabric for the industry and deploys AI and Machine learning (ML), which allows businesses to derive advanced and actionable insights.
    • Capgemini defines a comprehensive data strategy and governance practices to ensure that data is secure, trusted, and compliant. They establish a modern data foundation and fabric to industrialize and deploy AI and machine learning (ML) models.

    Core Services Provided by Leading Data Modernization Companies

    Leading data modernization providers offer data modernization services that cover the entire lifecycle of data, starting from legacy cyst to their final consumption as a strategic business insight.

    • Data Strategy and Assessment: A leading data modernization provider evaluates the current data on either in-premises or legacy systems (databases, data warehouses, mainframes), identifies performance bottlenecks, data silos, and compliance gaps. They create a roadmap tailored to the client’s business outcomes. 
    • Cloud data migration: A data modernization services leader takes care of data modernization and migration services by moving data and applications from on-premises to cloud-based platforms for improved scalability and cost-effectiveness.
    • Legacy Application modernization: Data modernization services leaders refactor legacy database schemas and application code to work efficiently in the new cloud environment.
    • Advanced Analytics and AI: A leading data infrastructure modernization firm implements machine learning, predictive analysis, and business intelligence to derive real-time data-driven insights and automate processes.
    • Data Governance and security: A good data modernization company will implement data security through encryption, modern practices, tools, and compliance measures.
    • Managed Services: Data modernization services leaders provide ongoing support, monitoring, cost optimization, and maintenance of the modernized cloud data platforms.

    How to Choose the Best Data Modernization Company for Your Needs

    Choosing the leading data modernization provider involves a strategic evaluation process to align with business goals. The factors to be considered are

    • Define Clear Business Objectives: Understand the primary goal for the data modernization strategy, such as improving scalability, reducing costs, integrating AI or data platforms, enhancing user experience, or migrating a legacy database.
    • Evaluate technical expertise: Look for a data modernization services leader who has deep experience with relevant technologies like cloud platforms, microservices, containerization, DevOps, and AI.
    • Breadth of Services: Focus on the Data Modernization services offered by the leading data modernization provider, such as assessment, re-architecturing, cloud migration, API enablement, and maintaining data modernization and migration.
    • Security and Compliance: Choose a data modernization services leader that adheres to industry security standards, such as ISO, SOC2, HIPAA, to safeguard data and operations during modernization.
    • Client feedback: Review the best data modernization services providers' feedback on major platforms such as Clutch. Ask the client for references to check their communication, support, and success rates.

    Future Trends in Data Modernization

    The Data modernization trends that will reshape the future are real-time autonomy, intelligence, and decentralized agility.

    • AI-driven Autonomous Data Management: The Data management platform will employ AI and machine learning to automate data optimization, governance, and security. Agentic AI will rise in the future. Less human intervention is needed. This AI integration will see more predictive, prescriptive, and generative capabilities.
    • Lakehouse architecture: Unified lake houses will dominate the data modernization strategy in the future. They will move away from separate data lakes and warehouses to a common architecture.
    • Data Mesh and Data Fabric: A decentralized approach where the data will be treated by its own domain team. This will improve data accessibility, quality, and scalability across complex enterprises. Data fabric complements the data mesh with an intelligent layer. They manage data by using metadata and graph technology.
    • Data Governance: Security is the topmost priority in any era. Data modernization providers will adopt privacy controls, data lifecycle management, content tracking, and policy enforcement into data platforms.
    • Operational Efficiency and Cost Management: Data modernization services include automation and advanced monitoring, optimizing cloud consumption and data pipeline performance to prevent cost overruns and maximize ROI.

    Why Choose Entrans as Your Data Modernization Partner?

    Outdated systems stop our business growth. Modern platforms show improvement in speed, accuracy, security, and analytics. Choosing the right data modernization partner, like Entrans, brings in the skilled technical experience, tools, and structured approach. 

    Entrans has shown a 50% reduction in infrastructure costs, 70% faster integration cycles, zero downtime, and 3X faster release frequency.

    Learn about how we use modern cloud-native technologies, DevOps automation, and data modernization frameworks, and build applications that deliver high resilience and continuous business value. Book a consultation call with us today.

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    Frequently Asked Questions (FAQs):

    1. What is data modernization, and why is it important in 2025?

    Data modernization is the strategic process of upgrading an organization’s legacy data infrastructure systems and management practices to a cloud-ready architecture. The benefits of data modernization are enhanced data-driven decision-making, scalability, AI/ML adoption, security, and compliance.

    2. What are the key steps involved in a successful data modernization process?

    The steps involved in a successful data modernization process are assessing legacy systems, creating a data modernization strategy, migrating data securely, and optimizing performance. Through continuous governance and monitoring, we can ensure long-term success.

    3. What is the difference between data migration and data modernization?

    Data migration is the process of transferring data from one system to another without requiring a significant structural change. Data modernization is the process of transforming data architecture, platforms, and methods for improved performance and scalability.

    4. How do I choose the right data modernization strategy for my business?

    To choose the right data modernization strategy, we should start by evaluating the data complexity, business goals, and regulatory needs. Prioritize initiatives based on potential business impact and feasibility. Choose a data modernization strategy that aligns with your long-term digital roadmap and scalability requirements.

    5. What should I look for when choosing data modernization services leaders?

    To choose the right data modernization services leaders, we should look for their proven expertise in cloud platforms, legacy to modern transformation, and strong security practices. They should also demonstrate industry-specific experience and the ability to define measurable ROI and define a road map for the long term.

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    Kapildev Arulmozhi
    Author
    Kapil is the Co-founder and CMO of Entrans, bringing over 20 years of experience in SaaS sales and related industries. He is responsible for creating and overseeing the revenue-driving systems at Entrans. Having collaborated extensively with tech leaders and teams, Kapil possesses a keen understanding of the decision criteria and ROI-justifiable initiatives essential for business growth.

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