AWS Data and Analytics Competency Partners

Drive innovation and unlock greater business value with AWS Specialization Partners that have deep technical knowledge and proven customer success

Data and analytics have become a competitive differentiator and a primary source of value generation for organizations. However, transforming data into a valuable corporate asset is a complex topic that can easily entail the use of dozens of technologies, tools, and environments. AWS provides the broadest and deepest set of managed services for data lakes and analytics, along with the largest partner community to help you build virtually any data and analytics application in the Cloud.

AWS Data and Analytics Competency Partners have demonstrated success in helping customers evaluate and use the tools and best practices for collecting, storing, governing, and analyzing data at any scale.

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Search for AWS Data and Analytics Competency Partners by category

Partners in this category provide a set of tightly integrated tools designed to work together to solve data analytics challenges within a standardized framework. Data analytics platforms allow a diverse set of technologies to procure resources and applications on top of it.

Partners in this category provide highly-scalable, databases that organize data into a structure that is not a traditional RDBMS.

Partners in this category enable customers to move and consolidate data from disparate sources, transform it, and prepare it for analytics. This includes extract, transform, and load (ETL), data quality, profiling, replication, preparation, and related technologies.

Partners in this category help customers turn raw data into actionable business information using online analytic processing technologies, such as reporting, dashboarding, and data visualization.

Partners in this category help customers discover, categorize, and control their data. This includes defining and enforcing policies; security, management of personal information; creating data catalogs and glossaries; data lineage, data masking, and secure data federation.

AWS Competency Partners offering consulting services have demonstrated deep AWS technical expertise and proven customer success in specialized areas across industry, use case, and workload.

Connect with AWS Data and Analytics Competency Partners

Drive innovation, meet business objectives, and get the most out of your AWS services by partnering with technically validated AWS Partners.

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Additional Resources

Discover more AWS Data and Analytics Competency Partner solutions and resources.

  • Use Case Resources
  • Transform Data Into Valuable Corporate Assets

    Explore AWS Data and Analytics Competency Partner eBooks, webinars, customer success stories, and more.

    View AWS Data and Analytics Competency Partner Resources »

    Data Lakes Resources

    Store massive amounts of data in a central location and make it available to be categorized, analyzed, and consumed by diverse groups.

    View Data Lakes Resources »

    Data Warehouse Modernization Resources

    Modernize your data warehouse with Amazon Redshift and partner solutions to help you migrate, collect, transform, and visualize all your data.

    View Data Warehouse Modernization Resources »

    Data Governance Resources

    Drive business value from your data and reduce risks from personally identifiable information with a de-identified data lake.

    View Governance Resources »

    Real-time Analytics Resources

    Turn streaming data into immediately actionable insights for accelerated decision making.

    View Real-time Analytics Resources »

  • Success Stories
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    • Media & Entertainment

      Cloudar Helps Ladrokes.live Transform The Sports Fan Experience With Cloud-Native Scalability

      Belgium

      Ladbrokes.live, a provider of streaming sports entertainment content operating in Belgium, was grappling with critical challenges that hindered their ability to attract and retain users. Partnering with AWS Partner, Cloudar—also based in Belgium—the company transitioned to a cloud-native architecture powered by Amazon Web Services (AWS) technologies. This transformation enabled Ladbrokes.live to deliver a seamless, personalized user experience featuring avatars that can be customized to deliver information and statistics relevant to the viewers’ interests, in their language of choice. The solution also helped Ladbrokes.live optimize operational costs and set the stage for continuous innovation in a highly competitive industry.

      2025
    • General Public Services

      Accelerating Semantic and Similar Search Functions for a Leading Legal Publisher

      Austria

      MANZ, an Austrian company that provides information services for legal and tax professionals, sought to revolutionize how its registered users searched its vast repository of legal documents. With over 300 million documents in its database, MANZ aimed to implement a cutting-edge solution using vector embeddings to enhance similarity searches and uncover deeper connections between documents. In collaboration with AWS Partner tecRacer Consulting, MANZ developed and successfully deployed a powerful solution, which reduced deployment times and empowered MANZ to independently develop and refine its solution.

      2025
    • General Public Services

      The National Institutes of Health Works with Govplace to Accelerate Scientific Research and Analysis

      United States

      The National Institutes of Health (NIH) Office of Portfolio Analysis (OPA) sought a more scalable and flexible IT environment to support applications including a research web database and tools for indexing and searching text-based data. To meet these needs, the organization worked with AWS Partner Govplace to create a new text-based indexing and search solution on AWS. Now, OPA scales in hours instead of months to support 10 times the compute capacity, helping researchers accelerate scientific research by quickly scanning millions of grants, journal articles, and patents.

      2025
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  • On Demand Webinars
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    • Together, we innovate on migration, modernization, and build applications for industry

      Together, We Innovate is a virtual event designed to help you accelerate your cloud computing journey with help from trusted Amazon Web Services (AWS) Partners. Sessions are delivered by accredited partners who have demonstrated technical proficiency in specialized solution areas and customers who have successfully used AWS Partner solutions to transform their businesses.

      In this Migrate, Modernize and Build Industry Edition, you will hear from AWS, our partners and leading industry experts share success stories on how they lower costs, enhance agility, and accelerate innovation by migrating, modernizing and building better applications on AWS.

    • Transforming Workforce and Asset Management with Cloud-powered Generative AI

      Join Arun Anand, Senior Solutions Architect, Amazon Web Services, and Vikas Bansal, Co-founder & Chief Technology Officer, KloudGin to explore how generative AI is fundamentally transforming field service work and asset management.
    • Empowering Your Workforce: AI Driven Decision Support for Field Technicians with AWS

      Join us for a live Expert Insights webinar with Amazon Web Services, where we'll showcase the powerful potential of AI technology for utilities.
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  • APN TV
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  • Blogs
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    • Tamara Astakhova, BP Yau, Amit Kapadia, Edwin Commandeur, 02/28/2025
      With increasing focus on IoT, AI/ML and generative AI, SAP data provides an unified view of business-critical information by streamlining operations, improving decision-making, and driving innovation. In this blog, we explore optimizing data management by leveraging a modern data architecture on AWS, and discuss how Fivetran automated SAP data replication accelerates enterprise processes and unlocks insights.
    • Avinash Desireddy, Suvojit Dasgupta, 02/28/2025
      In this post, we explore the design patterns for implementing the Hive Metastore (HMS) with EMR on EKS with Spark Operator, each offering distinct advantages depending on your requirements. Whether you choose to deploy HMS as a sidecar container within the Apache Spark Driver pod, or as a Kubernetes deployment in the data processing EKS cluster, or as an external HMS service in a separate EKS cluster, the key considerations revolve around communication efficiency, scalability, resource isolation, high availability, and security.
    • Alonso de Cosio, 02/28/2025
      In this article, we will show you how to define a chargeback mechanism that allocates Savings Plans purchased in the management account, linked accounts or both to recipient accounts of Savings Plan discounts. You can identify accounts that received Savings Plans discounts and the appropriate amount to chargeback to them based on their specific usage.
    • Kyle Cook, 02/28/2025
      The AWS Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on Amazon Web Services (AWS). AWS works with data providers to democratize access to data by making it available to the public for analysis on AWS; develop new cloud-based techniques, formats, and tools that lower the cost of working with data; and encourage the development of communities that benefit from access to shared datasets. The full list of publicly available datasets are on the Registry of Open Data on AWS and are now also discoverable on AWS Data Exchange. This quarter, AWS released 53 new or updated datasets and you can learn more about them in this post.
    • Anne Mickan, Christoph Russ, Henkjan Huisman, James Meakin, Miriam Groeneveld, 02/28/2025
      This post explores the architectural design and security concepts employed by Radboud University Medical Center Nijmegen (Radboudumc) to build a secure artificial intelligence (AI) runtime environment on Amazon Web Services (AWS). Business leaders dealing with sensitive or regulated data will find this post invaluable because it demonstrates a proven approach to using the power of AI while maintaining strict data privacy and security standards.

Next Steps

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