The Imply Blog

We write about our product, technology, and company

Announcing Imply 2.1.0

Vadim Ogievetsky · April 19, 2017

We are extremely excited to announce Imply 2.1.0, a feature-packed release, available now for download. Native SQL comes to Druid and dashboarding is now possible in Pivot.

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Druid February Meetup Slides

Fangjin Yang · March 2, 2017

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.

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Druid December Meetup Videos

Fangjin Yang · December 21, 2016

Our last Druid meetup at Sift Science had 3 great talks about use cases with Druid & Imply, and the upcoming Druid roadmap.

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Compressing Longs in Druid

David Li · December 7, 2016

With the Druid 0.9.2 release, Druid has added additional column compression methods for longs to significantly improve query performance in certain use cases. In this blog post, we’ll highlight how these various compression methods impact data storage size and query performance.

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Announcing Imply 2.0

Fangjin Yang · December 1, 2016

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.

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Pivot 0.10.27 Release

Vadim Ogievetsky · December 1, 2016

It’s been some time since our last release of Pivot. Today, after much hard work, we are excited to announce version 0.10.27, which represents a significant step towards a more holistic data exploration experience.

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Druid 0.9.2 Release

Gian Merlino · December 1, 2016

The Druid community is pleased to announce our next major release, 0.9.2. We’ve added hundreds of performance improvements, stability improvements, and bug fixes.

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Farewell Lambda Architectures: Exactly-Once Streaming Ingestion in Druid

David Lim · July 5, 2016

Today, many companies are turning to streaming solutions which are enabling them to understand and make business decisions from their data immediately, resulting in an operational agility that was unthinkable only a few years ago. The new Kafka indexing service is an exciting milestone in the maturity of Druid's ingestion technology, giving users a way to stream data into Druid with exactly-once correctness.

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Announcing Imply 1.3.0

Fangjin Yang · June 29, 2016

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.

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Programmatic PlyQL via HTTP, ODBC, and JDBC

Vadim Ogievetsky · May 4, 2016

Some time ago at Imply, we launched PlyQL, a command line utility that provides an SQL-like interface to Druid via Plywood. We heard a lot of positive feedback as many people prefer to use SQL over Druid’s native JSON-over-HTTP interface. The most common question we hear about PlyQL is how one can interface to it programmatically either from user created apps or from existing SQL based BI tools.

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Architecting Distributed Databases for Failure

Fangjin Yang · December 10, 2015

Everything is going to fail. If this is your first time working with or building out a distributed system, the fact that everything is going to fail may seem like an extremely scary concept, but it is one you will always have to keep in mind.

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A Tour Through the "Big Data" Zoo

Fangjin Yang · November 4, 2015

I recently read a great article by Jeffrey Heer, Michael Bostock, and Vadim Ogievetsky that showcases the various techniques for visualizing and interacting with diverse data sets. I thought it may be useful to write something similar to showcase the various open source systems that exist in the “big data” space, including Druid, which is an open source data store I work on.

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Pivot: A Fast Data Exploration UI for Druid

Vadim Ogievetsky · October 26, 2015

A large part of what we do at Imply is help organizations build custom applications and visualizations on top of their data. While Druid is a powerful backend for powering applications, there are aspects of the development process that could definitely be easier. To enable people to better understand the power of Druid, we have released Pivot, an exploration UI that makes the most of the power of the Druid database.

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Announcing Imply: An Enterprise Solution for Druid and Interactive Analytics at Scale

Fangjin Yang · October 19, 2015

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.

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