Data Lake Analytics with Ahana Cloud for Presto
Ahana Cloud for Presto is the first and only managed service for Presto on AWS, built natively on AWS with integrations for Glue, S3, and more.
Connect and query your AWS data sources with ease. With Ahana + AWS, Presto runs in containers on Amazon EKS making the service highly scalable & available.
Ahana Cloud for Presto on AWS
Presto is an open source SQL query engine. While powerful, Presto is also complicated to deploy, configure, and manage. Ahana simplifies Presto on AWS – no installation, no AMIs or CFTs, and no configuration.
Connect your external catalogs easily – Hive Metastore and Amazon Glue, Amazon database services RDS / MySQL, RDS / PostgreSQL, Elasticsearch and Amazon Redshift. Ahana makes it easy to integrate with and query your AWS data sources.
Ahana Cloud is the easiest Presto managed service ever made. In just 30 minutes you can be up and running with Presto on AWS including the in-VPC AWS Service in your own account with the Ahana Console.
Ahana Cloud is cloud-native with an in-VPC managed service. The SaaS Console is built natively for AWS and runs in the Ahana VPC. Define Presto clusters, and orchestrate and manage them in your AWS account using cross-account roles. Presto runs in containers on Amazon EKS making the service highly scalable & available.
Watch Ahana Cloud for Presto on the AWS Twitch channel, Howdy Partner
Get Started with Ahana Cloud for Presto on AWS today
Ahana Cloud is available through the AWS Marketplace and is pay-as-you-go pricing.
See the Ahana Cloud pricing calculator >
Related Resources:
On-demand webinar: 0 to Presto in 30 minutes with AWS & Ahana Cloud
Learn how to get started with Presto on AWS in this webinar presented by AWS & Ahana
AWS Startup Showcase: How Securonix uses Presto on AWS
In this presentation, learn how security leader Securonix powers its next-gen SIEM on AWS with Open Data Lake Analytics and Presto
Case Study: Presto on AWS using Ahana Cloud at Cartona
eCommerce company Cartona chose Presto for open data lake analytics. Learn more about their use case in their presentation.