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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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.
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Transform Data Into Valuable Corporate Assets
Explore AWS Data and Analytics Competency Partner eBooks, webinars, customer success stories, and more.
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.
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.
Data Governance Resources
Drive business value from your data and reduce risks from personally identifiable information with a de-identified data lake.
Real-time Analytics Resources
Turn streaming data into immediately actionable insights for accelerated decision making.
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Success Stories
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Media & Entertainment
Cloudar Helps Ladrokes.live Transform The Sports Fan Experience With Cloud-Native Scalability
BelgiumLadbrokes.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.
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General Public Services
Accelerating Semantic and Similar Search Functions for a Leading Legal Publisher
AustriaMANZ, 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.
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General Public Services
The National Institutes of Health Works with Govplace to Accelerate Scientific Research and Analysis
United StatesThe 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.
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Tamara Astakhova, BP Yau, Amit Kapadia, Edwin Commandeur, 02/28/2025With 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.
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Avinash Desireddy, Suvojit Dasgupta, 02/28/2025In 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.
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Alonso de Cosio, 02/28/2025In 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.
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Kyle Cook, 02/28/2025The 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.
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Anne Mickan, Christoph Russ, Henkjan Huisman, James Meakin, Miriam Groeneveld, 02/28/2025This 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.
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