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Imply Polaris now supports data ingestion from Amazon Kinesis and Amazon S3

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.

You can easily do data transformations and manage JSON data with Imply Polaris, both using SQL.

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

Imply Pivot offers multi step aggregations, which is valuable for timeseries data where measures are not evenly distributed in time.

We have taken a security-first approach in building the easiest real-time database for modern analytics applications.

Earlier this year, we explained how we’re moving to monthly releases that fall into two different categories: Short Term Support releases and Long Term Support releases. Each of the two categories is geared towards the needs of a specific set of Imply users.