A recent paper by independent researchers at the University of Minho in Portugal compared the performance of Apache Druid to well-known SQL-on-Hadoop technologies Hive and Presto. In the tests, Druid outperformed Presto from 10X to 59X (90% to 98% speed improvement) and Hive by over 100X.
We are delighted to announce that Imply 3.0 is now available! It contains many usability features such as a visual data loader, on-premises cluster and alerts functionality.
This document outlines the journey Zscaler made in building Zscaler Private Access (ZPA) and focuses on the analytics component of our solution. We will discuss some of our early requirements, why we picked certain technologies, such as Druid/Imply, and how we run things today.
MoPub, a Twitter company, has just launched a new solution called MoPub Analytics based on Apache Druid and using Imply Pivot as the drag-and-drop UI. The solution allows users to determine the root cause of new data trends by interactively analyzing the data across many different time slices, dimensions, and metrics.
Today, the Apache Druid community released Druid 0.15.0-incubating. Druid is known as an extremely high-performance database and much of the early design work has been focused on providing speed at scale. Lately we have made a pivot towards those “ease of” factors that help users get productive with Druid quickly.
We recently conducted our first Druid community survey. Every so often we’ll be asking our community a short set of questions to understand how they use Druid, and how they would like to see it improved.
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.
Today the Apache Druid community released Druid 0.14.0, our second release under the Apache umbrella and the first major release of 2019.
I thought I'd take this opportunity to talk about what's new in this release and what's coming in the future.
In Imply 2.7, we have added a selection of new visualizations and a new Explain feature that allows you to discover the contributing factors to any slice of data. We are also introducing advanced access control features, and have made several improvements to loading and managing data.
We are extremely excited to announce Imply 2.1, a feature-packed release, available now for download. Native SQL comes to Druid and dashboarding is now possible in Pivot.
Our last Druid meetup had great talks about how Druid is used at Branch, the ongoing work around better integrating Druid with the Hadoop ecosystem, and our roadmap plans.
We are extremely excited to announce Imply 2.0, our largest release ever, available now for download. This release contains significant updates to both Druid and Pivot.
We are extremely excited to announce the next version of Imply Analytics Platform, IAP 1.3.0, available immediately on our download page. This is one of our biggest releases to date and includes major updates for both Druid and Pivot.
We are pleased to announce the latest version of the Imply Analytics Platform. This release focuses on improvements to Pivot and Tranquility as well as adding programmatic querying options to PlyQL.
Today, Gian Merlino, Vadim Ogievetsky, and I are extremely excited to announce Imply, a company for interactive analytics at scale, centered around the Druid open source data store. We first began working on Druid at a startup called Metamarkets, and over the last few years, we’ve been proud to watch the project grow and take on a life of its own.
