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CelerData Announces Quick Start for StarRocks on Amazon Web Services

Customers can unlock real-time analytics within minutes from an AWS cloud environment.

Note: TDWI’s editors carefully choose press releases related to the data and analytics industry. We have edited and/or condensed this release to highlight key information but make no claims as to its accuracy.

CelerData, a platform designed for the modern, real-time enterprise,has released AWS Quick Start for StarRocks Project, the next generation of real-time analytical database for enterprise analytics. This Quick Start deploys StarRocks on the Amazon Web Services (AWS) cloud and is for organizations that want a data service layer that supports real-time analytics and high concurrency while simplifying data pipelines. It was developed by CelerData, an AWS partner, in collaboration with AWS.

With this Quick Start, organizations can connect applications to a highly available StarRocks architecture deployed to Amazon Elastic Compute Cloud (Amazon EC2) instances. Users can analyze large volumes of data without having to maintain fault tolerance or scale StarRocks instances.

Benefits of the Quick Start include:

  • For new users, StarRocks Quick Start ensures that AWS best practices are followed
  • Infrastructure-as-code (IaC) methodology reduces deployment time to minutes and avoids errors
  • StarRocks can be launched seamlessly and flexibly by creating a new virtual private cloud (VPC) or by launching StarRocks within an existing VPC
  • Faster peer-to-peer cloud connections support analytics deployments through VPC peering

CelerData’s platform is built on top of the open project StarRocks, the SQL engine and MPP database. With StarRocks, data engineers can run high-performance queries on various types of models including flat tables, star, and snowflake schemas. CelerData brings the StarRocks capabilities to enterprise customers, either on premises or in the cloud. Providing modern analytics applications where the latest transaction data is combined with historical records affords the best in-app recommendation and decision-making.

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