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.
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
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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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Alexandre Alves, 02/11/2025Generative AI is becoming a central component of success in nearly every industry. We have the unique opportunity to see how different businesses within Amazon are using generative AI to create transformative customer experiences—with nearly 1,000 generative AI applications in motion inside Amazon. This blog post is the first in a series that will explore [...]
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Jussi Railakari, Anton Garvanko, Roy Yung, 02/11/2025In this post, we share how Wisso replaced an embedded reporting system in their client’s kitchen management application using QuickSight. With QuickSight, the client increased user adoption, saved on costs, and could implement new dashboards faster.
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Ricardo Serafim, Harshida Patel, Milind Oke, 02/10/2025In this post, we explore the new higher base capacity of 1024 RPUs in Redshift Serverless, which doubles the previous maximum of 512 RPUs. This enhancement empowers you to get high performance for your workload containing highly complex queries and write-intensive workloads, with concurrent data ingestion and transformation tasks that require high throughput and low latency with Redshift Serverless.
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Anuj Patel, Shailesh Doshi, Satesh Sonti, 02/10/2025In the rapidly evolving field of Life Sciences, researchers and healthcare professionals face the challenge of efficiently accessing and analyzing vast amounts of complex genomic, clinical, and imaging data. Traditional data querying methods often require specialized technical knowledge of SQL and database structures, creating bottlenecks in research workflows and limiting the accessibility of valuable insights. [...]
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Jon Handler, Yaliang Wu, 02/07/2025OpenSearch Service provides rich capabilities for RAG use cases, as well as vector embedding-powered semantic search. You can use the flexible connector framework and search flow pipelines in OpenSearch to connect to models hosted by DeepSeek, Cohere, and OpenAI, as well as models hosted on Amazon Bedrock and SageMaker. In this post, we build a connection to DeepSeek’s text generation model, supporting a RAG workflow to generate text responses to user queries.
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