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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Financial Services
Crece Más Drives 45% Sales Growth for Small Businesses with Facele and AWS
ChileCrece Más, a company devoted to helping entrepreneurs thrive, wanted to develop a platform to give small businesses tools to automate operations and grow—but struggled to secure funding. With the help of AWS Partner Facele and Amazon Web Services (AWS) infrastructure, Crece Más secured funding to develop a platform to manage inventory, sales, deliveries, and more. With an impressive new application, Crece Más has grown its customer base by 45 percent in just six months. The platform allows small businesses to scale, increase sales by up to 45 percent, and reduce operational costs by 25 percent, helping them expand into new markets and contribute to regional economic growth.
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Financial Services
MarketReader Launches Its Real-Time Market Analysis Platform and AI Newsletter in Eight Months Using Nasdaq® and AWS
United StatesMarketReader is an artificial intelligence (AI) analytics platform providing the financial sector with data-driven explanations of real-time asset movement. During development, MarketReader experienced delays in data delivery and received incomplete datasets from its initial data provider—which reduced the quality of the platform’s insights. To launch its differentiated product, the MarketReader team moved to cloud-based data solutions from AWS Partner Nasdaq, hosted on Amazon Web Services (AWS), to obtain direct access to high-quality, real-time market data for all US-listed securities. This approach elevated MarketReader’s US market coverage, increased data delivery time by 98 percent, and helped the platform go live within eight months. MarketReader now delivers timely, accurate insights. It publishes a daily newsletter in only seven minutes, driving customer engagement and expanding the newsletter’s reach up to 400 percent beyond MarketReader’s current client base.
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Arun Chandapillai, 05/30/2025High-performance applications with unlimited throughput capabilities pose significant monitoring challenges, especially when tracking real-time metrics, utilization, and throttling events across distributed database workloads. Near real-time visibility into metrics is crucial for application performance and cost optimization. AWS allows you to seamlessly integrate multiple services to tackle these operational complexities. With Amazon DynamoDB, you can build [...]
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Max Copeland, 05/30/2025In this post you define, deploy, and provision a SageMaker Project custom template purely in Terraform. With no dependencies on other IaC tools, you can now enable SageMaker Projects strictly within your Terraform Enterprise infrastructure.
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Sairam Vangapally, Nitin Goyal, 05/30/2025In this post, we explore how PackScan uses Amazon cloud-based services to drive real-time visibility, improve logistics efficiency, and support the seamless movement of packages across Amazon’s Middle Mile network.
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John Trollinger, Shwetha Radhakrishnan, 05/30/2025OpenSearch offers a wide range of third-party machine learning (ML) connectors to support this augmentation. This post highlights two of these third-party ML connectors. The first connector we demonstrate is the Amazon Comprehend connector. In this post, we show you how to use this connector to invoke the LangDetect API to detect the languages of ingested documents. The second connector we demonstrate is the Amazon Bedrock connector to invoke the Amazon Titan Text Embeddings v2 model so that you can create embeddings from ingested documents and perform semantic search.
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Karsten Schroer, Bishesh Adhikari, Iza Moise, 05/29/2025In this post, we explore how a leading GeoFM (Clay Foundation’s Clay foundation model available on Hugging Face) can be deployed for large-scale inference and fine-tuning on Amazon SageMaker.
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