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What’s New in Imply Polaris – November 2022
This blog provides an overview for the new features, functionality, and connectivity to Imply Polaris for November 2022.
Imply Pivot delivers the final mile for modern analytics applications
This blog is focused on how Imply Pivot delivers the final mile for building an anlaytics app. It showcases two customer examples - Twitch and ironsource.
Why Analytics Need More than a Data Warehouse
Why Druid is needed in the context of the analytics trend
Why Open Source Matters for Databases
Apache Druid is at the heart of Imply. We’re an open source business, and that’s why we’re committed to making Druid the best open source database for modern analytics applications
What Makes a Database Built for Streaming Data?
For an analytics app to handle real-time, streaming sources, it must be built for streaming data. Druid has 3 essential features for stream data.
Approximate Distinct Counts in Imply Polaris
When it comes to modern data analytics applications, speed is of the utmost importance. In this blog we discuss two approximation algorithms which can be used to greatly enhance speed with only a slight reduction in accuracy. We further explain how to use these algorithms in Imply Polaris - Imply’s SaaS Platform
Introducing Apache Druid 24.0
Apache Druid 24.0 contains 450 updates and new features, major performance enhancements, bug fixes, and major documentation improvements
Using Imply Pivot with Druid to Deduplicate Timeseries Data
Imply Pivot offers multi step aggregations, which is valuable for timeseries data where measures are not evenly distributed in time.