The Imply Blog

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Introducing Imply 2021.01 LTS – our first Long Term Support release

by Jad Naous · in Imply platform · February 4, 2021

Earlier this year, we explained how we’re moving to monthly releases that fall into two different categories: Short Term Support releases and Long Term Support releases. Each of the two categories is geared towards the needs of a specific set of Imply users.

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Introducing Imply CrossTab: an infinite Excel PivotTable

by Vadim Ogievetsky · in Imply platform · January 25, 2021

PivotTable (or CrossTab) views are a staple of data analytics software since their popularization by Microsoft Excel. The basics are very simple: you filter the data and drag dimensions into rows and columns to create a two dimensional grid of “cross-tabulated” values for every intersection.

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Imply moves to monthly releases

by Jad Naous · in Imply platform · January 4, 2021

To better serve the needs of both types of users, we’re changing our release strategy. As of November 2020, Imply releases will follow one of two tracks: monthly Short Term Support (STS) releases and an annual Long Term Support (LTS) release.

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Eating our own dog food

by Itai Yaffe · in Industry · December 4, 2020

Recently, I joined Imply. I’ll further discuss this on a different post, but what really amazed me during these first few days, is how much this company and the team believe in eating our own dog food.

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Introducing Apache Druid 0.20.0

by Will Xu · in Apache Druid · October 19, 2020

Apache Druid 0.20.0 contains over 140 updates from 36 contributors, including new features, major performance enhancements (6x-11x on some queries!), bug fixes, and major documentation improvements.

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Introducing Imply 4.0

by Jad Naous · in Imply platform · October 12, 2020

Welcome to Imply 4.0! This release includes significant (6-11X) query performance improvements, plus management and usability enhancements.

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Announcing the Imply SaaS Beta program - sign up now!

by Rick Bilodeau · in Imply platform · October 7, 2020

I have some exciting news. We are opening up our sign up list for the Imply SaaS beta program. Imply SaaS will provide a friction-free way to get self-service analytics at scale to power your interactive data applications. It will be the market’s first enterprise-grade SaaS offering based on Apache Druid.

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Extend your cloud data warehouse to power modern, interactive data applications

by Rick Bilodeau · in Industry · September 16, 2020

Snowflake's IPO today is a testament to the importance of data analytics and the cloud in business today. This post describes how Imply complements cloud data warehouses for a growing set of workloads called interactive data applications, which require sub-second query response at high user concurrency.

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Imply Cloud Free Tier now available!

by Rick Bilodeau · in Imply platform · September 15, 2020

Today I am happy to tell you that we have just announced immediate availability of a free tier for the Imply Cloud service, so you can try out the power of the Imply platform easily and free-of-charge.

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Introducing Apache Druid 0.19

by Will Xu · in Apache Druid · July 16, 2020

The Apache Druid community released Druid 0.19 on July 21st, 2020. This release contains over 200 new features, performance enhancements, bug fixes, and major documentation improvements from 47 contributors.

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Hot analytics and the data warehouse deficit

by Matt Sarrel · Peter Kacandes · in Industry · July 15, 2020

One of the most important considerations when selecting an analytics platform is its suitability to conduct the required analyses over specific types of data within a given performance threshold. A helpful way to think about this is to utilize the concept of temperature-tiered analytics to align analytics needs with data architectures.

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Introducing Imply 3.4

by Jad Naous · in Imply platform · July 13, 2020

We’re excited to announce the release of Imply 3.4 with Apache Druid 0.19 at its core. This release includes new capabilities in Druid and Pivot that bring the stack closer to standard BI capabilities along with dozens of bug fixes and enhancements.

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Price-performance benchmark Apache Druid and Google BigQuery

by Rick Bilodeau · in Industry · June 25, 2020

A new benchmark test indicates that Apache Druid, the engine that drives the Imply real-time data platform, delivers 3 times the speed and 12 times the price-performance of Google BigQuery.

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The Secret to Apache Druid Success

by Rob Meyer · in Apache Druid · June 10, 2020

There is no doubt that Apache Druid is a success, or that the benefits of implementing Druid can be huge. It is the leading real-time analytics database on the market. Thousands of companies use it to use it to equip their employees and customers with self-service analytics to make better, faster decisions.

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Introducing Apache Druid 0.18.0

by Will Xu · in Apache Druid · May 21, 2020

The Apache Druid community released Druid 0.18 on April 20th, 2020. This release contains over 200 new features, performance enhancements, bug fixes, and major documentation improvements from 42 contributors.

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Announcing Imply 3.3

by Vadim Ogievetsky · in Imply platform · April 15, 2020

We are excited to announce the general availability of Imply 3.3, which greatly expands the expressivity of SQL by adding the ability to do JOINs and interact with lookups in novel ways. This release includes over 200 new features, performance enhancements, bug fixes, and major documentation improvements.

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Announcing Imply 3.2

by Vadim Ogievetsky · in Imply platform · January 30, 2020

We are delighted to announce that Imply 3.2 is now available! Imply 3.2 is based on Apache Druid 0.17 (Druid’s first Apache top level project release) and adds new cloud management, alerting, reporting, and data loading features.

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Introducing Druid 0.17.0

by Gian Merlino · in Apache Druid · January 30, 2020

Earlier this week, the Apache Druid community released Druid 0.17.0. This is the project’s first release since graduating from the Apache Incubator, and it therefore represents an important milestone.

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Druid: Reflections at a Milestone

by Gian Merlino · in Apache Druid · December 10, 2019

Today, Imply announced a new round of growth funding raised from Andreessen Horowitz and Geodesic Capital. First I want to thank these firms for their support and for sharing our vision as we continue to grow. Thank you, too, to all of our customers for joining us on this journey. A milestone like this is a good time to reflect on the past and the future.

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Druid query view: An elegant SQL interface for a more civilized age

by Margaret Brewster · in Apache Druid · October 16, 2019

In the 0.16 console, we have added a new layer of SQL awareness to the query view to help move the view away from its roots as a text-only interface, to a point and click one.

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Announcing Imply 3.1

by Vadim Ogievetsky · in Imply platform · September 26, 2019

We are delighted to announce that Imply 3.1 is now available! Imply 3.1 is based on Apache Druid 0.16 and contains many improvements.

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Introducing Apache Druid 0.16.0

by Gian Merlino · in Apache Druid · September 26, 2019

Like every Druid release, this one has a huge amount and variety of fixes and new functionality. This particular one include over 350 new features, performance enhancements, bug fixes, and major documentation improvements from 50 contributors.

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Apache Druid helps Zeotap Master Multi-Channel Attribution at Scale

by Chaitanya Bendre, Zeotap · in User stories · August 22, 2019

Below is a transcript of a short interview we conducted with Chaitanya Bendre, Lead Data Engineer at Zeotap, where we discussed there use of Druid to help address the difficult problem of identity resolution and multi-channel attribution.

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Announcing Imply 3.0

by Vadim Ogievetsky · in Imply platform · July 15, 2019

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.

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Druid @ Zscaler - A Retrospective

by Subramanian Srinivasan, Zscaler · Kevin Fletcher, Zscaler · in User stories · July 8, 2019

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.

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Interactive Analytics at MoPub (Twitter): Using Druid and Imply to Query Terabytes of Data in Seconds

by Rick Bilodeau · in User stories · July 5, 2019

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.

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Introducing Apache Druid 0.15.0

by Gian Merlino · in Apache Druid · June 27, 2019

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.

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Tutorial: Using Apache Druid and Imply With Google Cloud Dataproc For Hadoop Indexing

by Rommel Garcia · in Solutions · June 6, 2019

To help you get to know GCP and Druid, the tutorial below will walk you through how to install and configure Druid to work with Dataproc (GCP’s managed Hadoop offering) for Hadoop Indexing. Then it will show you how to ingest and query data as well.

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Announcing Imply 2.9

by Vadim Ogievetsky · in Imply platform · April 10, 2019

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.

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Announcing Druid 0.14.0

by Gian Merlino · in Apache Druid · April 9, 2019

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.

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How WalkMe uses Druid and Imply Cloud to Analyze Clickstreams and User Behavior

by Yotam Spenser, WalkMe · in User stories · April 3, 2019

WalkMe uses Imply Cloud to monitor behavioral analytics for its leading Digital Adoption Platform.

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How WalkMe uses Druid and Imply Cloud to Analyze Clickstreams and User Behavior

by Yotam Spenser, WalkMe · in User stories · April 3, 2019

WalkMe uses Imply Cloud to monitor behavioral analytics for its leading Digital Adoption Platform.

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Tutorial: An End-to-end Streaming Analytics Stack for Network Telemetry Data

by Eric Graham · in Solutions · March 26, 2019

In this tutorial, we will step through how to set up Imply, Kafka, and pmacct to build an end-to-end streaming analytics stack that can handle many different forms of networking data.

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Using Druid to fight ad fraud

by Raigon Jolly, TrafficGuard · in User stories · February 27, 2019

TrafficGuard helps some of the world’s biggest digital advertisers and agencies protect their ad spend from fraud. Our clients need access to reliable reporting in real-time to allow them to optimise their ad campaigns with current insights.

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Why GameAnalytics migrated to Apache Druid, and then to Imply

by Ramón Lastres Guerrero, GameAnalytics · in User stories · February 14, 2019

At GameAnalytics, our user base has grown several times over in the past 12 months, and this growth has promoted us to rethink our user experience analytics system.

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Why GameAnalytics migrated to Apache Druid, and then to Imply

by Ramón Lastres Guerrero, GameAnalytics · in User stories · February 14, 2019

At GameAnalytics, our user base has grown several times over in the past 12 months, and this growth has promoted us to rethink our user experience analytics system.

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Announcing Imply 2.8

by Vadim Ogievetsky · in Imply platform · December 18, 2018

Imply 2.8 comes with the first Apache release of Druid and a host of features aimed at performance improvements and ease of use.

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Modernizing Rubicon Project’s Analytics Stack for Programmatic Advertising

by Ken Lin · in User stories · 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

by Jon Wei · in Apache Druid · 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

by Vadim Ogievetsky · in Imply platform · 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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Announcing Imply 2.6

by Vadim Ogievetsky · in Imply platform · June 19, 2018

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

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Announcing Imply 2.5

by Vadim Ogievetsky · in Imply platform · 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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Announcing Imply Cloud: Managed Service for AWS

by Vadim Ogievetsky · in Imply platform · 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

by Vadim Ogievetsky · in Imply platform · 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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Announcing Imply 2.3: An Integrated Platform

by Vadim Ogievetsky · in Imply platform · 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

by Vadim Ogievetsky · in Imply platform · 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

by Vadim Ogievetsky · in Imply platform · 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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Pivot 0.10.27 Release

by Vadim Ogievetsky · in Imply platform · 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

by Gian Merlino · in Apache Druid · 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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Announcing Imply 2.0

by Fangjin Yang · in Imply platform · 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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Announcing Imply 1.3.0

by Fangjin Yang · in Imply platform · 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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Announcing Imply 1.2.1

by Vadim Ogievetsky · in Imply platform · May 9, 2016

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.

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Programmatic PlyQL via HTTP, ODBC, and JDBC

by Vadim Ogievetsky · in Imply platform · 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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Pivot: A Fast Data Exploration UI for Druid

by Vadim Ogievetsky · in Imply platform · 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

by Fangjin Yang · in Industry · 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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