The Imply Blog

We write about our product, technology, and company

Modernizing Rubicon Project’s Analytics Stack for Programmatic Advertising

Ken Lin · Johnny Shen · October 22, 2018

Rubicon Project, one of the world’s largest digital advertising exchanges, has modernized their analytics stack with Druid and Imply.

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Securing Druid

Jon Wei · September 13, 2018

Security is a critical requirement in every deployment of a system that holds and processes data. In this blog post, we will discuss how we secured Apache Druid, and validated our implementation.

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Announcing Imply 2.7

Vadim Ogievetsky · September 11, 2018

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.

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Part 3: The technology behind operational analytics

Fangjin Yang · August 16, 2018

A good operational analytics solution should be able to handle high volume and complex event-driven data as well as rapidly explain trends and patterns in data.

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Part 2: Operational Analytics in Practice

Fangjin Yang · August 2, 2018

Operational analytics is used to explain why any particular trend, anomaly, or pattern occurs in data. Operational analytics isn’t about asking one question of data, it is about asking many, often iterative questions, and using the answer of one question to inform the next question, until an actionable insight is reached.

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The Need for Operational Analytics

Fangjin Yang · July 10, 2018

The analytics space is filled with many technologies, each focused on solving a different piece of the myriad of problems that comes with working with data at scale. While many products tackle data transport, storage, compute, or visualization, few focus on explaining why trends or anomalies occur.

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Who is knocking on our door? Analyzing AWS Netflows

Vadim Ogievetsky · June 27, 2018

We ingested our internal AWS VPC netflows into Imply and found something surprising.

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Announcing Imply 2.6

Vadim Ogievetsky · June 19, 2018

Imply 2.6 introduces time compares, data export, advanced aggregation measures, and more!

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Announcing Imply 2.5

Vadim Ogievetsky · March 23, 2018

Imply 2.5 comes with an improved streaming data loader, a sunburst visualization, many dashboard improvements, and more.

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March 2018 Druid Meetup - eBay Monitoring Platform

Gian Merlino · March 22, 2018

March 2018 Druid Bay Area Meetup - eBay Monitoring Platform, links to slides

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Imply Raises Series A funding

Fangjin Yang · March 13, 2018

I'm excited to announce that Imply has raised a $13.3M Series A, led by Andreessen Horowitz, and joined by our seed investor, Khosla Ventures.

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Announcing Imply Cloud: Managed Service for AWS

Vadim Ogievetsky · March 13, 2018

Today, we are excited to announce that Imply Cloud, a fully managed service for AWS, is now generally available.

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Announcing Imply 2.4

Vadim Ogievetsky · December 19, 2017

Imply 2.4 comes with a preview of a dataset manager, new features, improvements, bug fixes, and more!

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End-to-end Security in Druid

Jon Wei · December 18, 2017

It is now possible to deploy a druid cluster in a secure setting.

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November 2017 Druid Bay Area Meetup - MZ, Slack, Druid Roadmap

Gian Merlino · November 29, 2017

November 2017 Druid Bay Area Meetup video, with talks from MZ and Slack, and a Druid roadmap update from Imply

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Announcing Imply 2.3: An Integrated Platform

Vadim Ogievetsky · August 23, 2017

Imply 2.3 comes with brand new apps, new features, improvements, bug fixes, and more!

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Announcing Imply 2.2: Pivot Features Galore

Vadim Ogievetsky · May 16, 2017

We're excited to announce Imply 2.2, with tons of new features for Pivot.

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Announcing Imply 2.1

Vadim Ogievetsky · April 19, 2017

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.

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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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