Category: AWS Partner Network

Domino Data Lab is an AWS Partner Network (APN) partner that provides a central system of record for data science activity across an organization. The Domino solution delivers orchestration for all data science artifacts, including AWS infrastructure, data and services. As part of the solution, Domino’s platform leverages the scale, security, reliability, and cost-effectiveness of […]

APN Partner Snowflake enables organizations to transform, integrate, and analyze their data. Running on AWS has helped them to keep up with a rapidly scaling customer base since 2012 (22% YoY total customer growth as of January 2024). With more customers comes more data, and efficient data management to manage operational overhead and cost is […]

InterSystems, an AWS Partner Network (APN) partner, provides a cloud-based data platform optimized for high-throughput applications that must simultaneously process transactions and a range of analytics, including analytic SQL, business rules, and machine learning. Users use the InterSystems IRIS Data Platform to rapidly develop and deploy critical applications. InterSystems recommends that users consider several backup […]

ChaosSearch is an Amazon S3-native database built on a serverless, stateless compute architecture within AWS that delivers live search, SQL, and Generative AI analytics. At ChaosSearch, the speed and performance of our architecture is important to us and our customers because time to results is the difference between success and failure, and we rely on […]

Deep learning processes often need to read full datasets, which are usually hundreds of gigabytes in size, before they can perform intelligent data processing. High data retrieval speed and low latency from storage are crucial for enterprises running these performance-critical workloads. Akridata, an AWS independent software vendor (ISV) partner, helps make artificial intelligence (AI)-assisted unstructured-data […]

Machine learning presents a number of new challenges to data teams, calling for technology solutions that can support training and fine-tuning performance-critical workloads with high performance. Data version control is one of the facets of high-performing ML pipelines, as it allows efficient experimentation and full ML pipeline reproducibility at scale. lakeFS by Treeverse, an AWS […]

ClickHouse is a columnar database management system (DBMS) designed for blazing-fast real-time analytics. It was built to address the needs of interactive analytical applications requiring up-to-the-second analytics. To do that, it must support real-time data ingestion at the rate of hundreds of millions of events per second and run complex analytical queries, such as filtering, […]

Organizations are modernizing their data lakes on Amazon Simple Storage Service (Amazon S3) to handle the ever-growing data volume and speed while meeting the demands of analytics, machine learning (ML), artificial intelligence (AI), and generative AI applications. To enable a data-driven culture and remain innovative, the data platform must allow for data-centric collaboration across business […]

Amazon Simple Storage Service (Amazon S3) is the most popular object storage platform for modern data lakes. Organizations today evolved to adopt a lake house architecture that combines the scalability and cost effectiveness of data lakes with the performance and ease-of-use of data warehouses. Likewise, Amazon S3 plays an increasingly important role as the foundational […]

PingCAP, an AWS Partner Network (APN) Partner, is the company behind TiDB, an advanced open-source, distributed SQL database for building modern applications. TiDB is widely used and trusted by technologists around the world. In July 2023, PingCAP released TiDB Serverless, a fully managed, autonomous DBaaS offering of TiDB. However, based on TiDB’s existing architecture, PingCAP […]