Data platform teams are increasingly using the federated SQL query engine PrestoDB to run such analytics for a variety of use cases across a wide range of data lakes and databases in-place, without the need to move data. Here’s a look at some important characteristics of Presto that account for its growing adoption.

This blog post discusses how AWS users have evolved their big data requirements and how the Ahana team architected its managed service offering, highlighting the best practice of providing an “In-VPC” deployment.

Today I am incredibly excited to announce Ahana Cloud for Presto, the first fully integrated, cloud-native managed service for Presto – that simplifies the ability of cloud and data platform teams of all sizes to provide self-service, SQL analytics for their data analysts and scientists.

Why are there two Presto projects and how many do we need? For the benefit of the community, I hope we can see the confusion end with: 1 foundation, 1 primary code base for new development, and 1 community.

We spent some time with Apache Software Foundation board member, PMC member, and open source expert Ted Dunning to get his thoughts on the state of open source software.

There are many factors that contribute to strong co-founder relationships. Forbes refers to one set and defines them as the 3Ts…