Announcing Imply 2.3: An Integrated Platform

Aug 23, 2017
Vadim Ogievetsky

Imply 2.3 is one of our most feature packed releases and contains a brand new user interface, new features, improvements, and bug fixes. Read on to learn more about this release!

New home screen

The first thing you’ll notice with the new release is the new home screen.
From the home you can access all the Imply apps, including Pivot and our new SQL interface. Watch this space for more apps – we have a lot of exciting new capabilities coming on our roadmap.

SQL interface

Our new SQL interface allows you to quickly write SQL queries using everyone’s favorite query language.

You can also click on the columns to expand schemas or include them in the SQL syntax.

User access, sharing, and favorites

Sharing and collaboration is a key feature we hope to improve with every new release. In 2.3, we’ve reworked Pivot’s home screen so you can now easily star your favorite data cubes and dashboards.

Due to popular demand, we’ve expanded Pivot’s security capabilities, and it is now possible to assign fine grained access permissions for viewing and modifying data cubes and dashboards.Never have other people mess up your beautifully arranged dashboard tiles again!

We have also made Pivot’s stateful URLs much shorter for easy sharing
though your favorite communication channels.

Grid visualization

With the highly-requested grid visualization, you can now visualize a cross of two dimensions in a two dimensional grid.

Dashboard improvement

We’ve improved Pivot’s dashboarding functionality.Most significantly you can now just drag to create a tile anywhere you want and then fill it with a visualization as you see fit.There are also a number of improvement to the filtering and a convenient button to bring you back to your dashboard after you expand a tile.

Themes

Make your data cubes and dashboards more distinct and recognizable by assigning them an individual theme.

Performance improvements

Imply 2.3 includes Druid 0.10.1, which includes numerous performance enhancements including:

  • Large performance improvements and additional query metrics for TopN queries
  • The ability to push down limit clauses for GroupBy queries
  • More accurate query timeout handling

We have also added an optional smart cache for Pivot that can utilize
memcached across all of your Imply servers, greatly improving Pivot’s performance.

Simply add:

queryCache:
  type: memcached
  servers:
    - 'your.memcached.server1:11211'
    - 'your.memcached.server2:11211'

To get a fast performance boost.

Other New Features

In addition to the numerous features we’ve already mentioned, we’ve added the following:

  • Support for ingesting Protobuf data
  • A new Kafka metrics emitter
  • A new dimension comparison filter
  • Various improvements to Druid SQL

Getting started

You can get the latest version of Imply on our download page.To learn more, please see our documentation.Any feedback, bug reports and feature requests are always welcome -you can post them in our user group or contact us.

Other blogs you might find interesting

No records found...
Feb 25, 2026

Imply Lumi Product Preview:  Removing the Cost–Performance Tradeoff in Observability

If you caught our recent product update, you’ve already seen the pace of development on Imply Lumi has been relentless. Last quarter, we delivered major performance and usability improvements to data...

Learn More
Feb 03, 2026

Imply Lumi product update: what’s new

Since releasing Imply Lumi in September 2025 as a decoupled data layer for observability, the Imply R&D team has been hard at work to make it easier and more economical to retain, query, and analyze observability...

Learn More
Dec 19, 2025

The Most-Read Imply Blogs of 2025 (and what they signal for 2026)

Before we take on 2026, let’s rewind. 2025 was the year observability teams stopped asking, “How do we reduce data?” and started asking the real question: “How do we build an architecture that can keep...

Learn More

Ready to decouple your observability stack?
No workflow changes. No migrations. More data, less spend.

Request a Demo