We are delighted to announce Imply 2.9 is now available! Imply 2.9 is based off of the just announced Druid 0.14. Druid 0.14 contains many new features, improvements, and bug fixes. This blog post will focus on the new Imply components and features not available in Druid 0.14.
DataSketches is a powerful library for performing sophisticated aggregations. It contains many approximate queries for set analysis.
At Imply, we want to make sure that these features are supported throughout the stack. As such, I am delighted to announce that Data Sketches features are now natively supported by Imply Pivot and DruidSQL.
When it comes to scaling out Imply Pivot to tens of thousands of users, it is unwieldy to create all those users, roles, and any resources they require (data cubes, dashboards) by hand. With the management API, it is now possible to create an API token and then programmatically add those users and roles via RESTful endpoints.
Learn more about this feature.
When you are setting up a secure system with many diverse roles (perhaps created via the API), and also have many users, the best way to ensure that your users are getting the experience you expect is by seeing the product through their eyes.
With the new impersonation feature, any user with the ImpersonateUsers permission can experience the product as another user (of lesser or equal access level).
Learn more about this feature.
As noted in our Druid 0.14.0 announcement, we have unified the overlord and coordinator management consoles into a single console powered by DruidSQL systems tables. As a reminder, the Imply distribution of Druid has a more rapid release cycle than the Apache Druid releases. We pull in bug fixes and minor features and make them available in the Imply distribution months before they make it into the next Apache release.
Check out the console in the Imply distribution if you want to get an advanced preview of upcoming features of the Druid console, including:
Give Imply 2.9 a whirl today.
Recap: Druid Summit 2024 – A Vibrant Community Shaping the Future of Data Analytics
In today’s fast-paced world, organizations rely on real-time analytics to make critical decisions. With millions of events streaming in per second, having an intuitive, high-speed data exploration tool to...
Learn MorePivot by Imply: A High-Speed Data Exploration UI for Druid
In today’s fast-paced world, organizations rely on real-time analytics to make critical decisions. With millions of events streaming in per second, having an intuitive, high-speed data exploration tool to...
Learn MoreIntroducing Apache Druid® 31.0
We are excited to announce the release of Apache Druid 31.0. This release contains over 525 commits from 45 contributors.
Learn More
Vadim Ogievetsky