When you think of querying with Apache Druid, you probably imagine queries over massive data sets that run in less than a second. This blog is about some of the things we did as a team to discover the user stories, define an asynchronous download API, and deliver it in a monthly STS release.
Read MoreUneven traffic flow in streaming pipelines is a common problem. Providing the right level of resources to keep up with spikes in demand is a requirement in order to deliver timely analytics.
Read MoreHellmar Becker is an Imply solutions engineer based in Germany, where he has been delving into the nooks-and-crannies of multi-valued dimension support in Druid. In this interview, Hellmar explains why he invested time understanding this area of untapped functionality.
Read MorePivotTable (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.
Read MoreTo 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.
Read MoreUnder the leadership of Group Vice President Michael Baldino, the Data Platforms team has led the vision, security, and daily operations for the customer-experience-focused platform. During its formative years, the Data Platforms team explored multiple options for providing real-time data. Ultimately the decision to develop a custom solution worked very well and would likely be in use today, had we not reevaluated Druid and Imply Cloud.
Read MoreWe’re thrilled to announce that the fourth edition of Virtual Druid Summit will be taking place on November 18, 2020!
Read MoreTrueCar, the leading automotive digital marketplace will use Imply to unlock insights from digital interactions, improve services with increased agility, and deliver a higher quality experience.
Read MoreWelcome to Imply 4.0! This release includes significant (6-11X) query performance improvements, plus management and usability enhancements.
Read MoreI 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.
Read MoreSnowflake'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.
Read MoreThe 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.
Read MoreI am happy to tell you that 10 days after we officially postponed Druid Summit, we have now launched Virtual Druid Summit, which will take place as a series of online talks on April 15. Each talk will be a spicy 30 minutes of real-world information, followed by Q/A. There are 5 talks from Druid practitioners from a variety of industries and spanning 3 continents. The summit will open with a Apache Druid Roadmap and Vision talk from Apache Druid PMC Chair Gian Merlino, and will close with a 2-way voice-interactive “ask us anything” session featuring Druid authors and contributors.
Read MoreWe 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.
Read MoreEarlier 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.
Read MoreToday, 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.
Read MoreI’m excited to announce that Imply has raised a $30M Series B funding round led by Andreessen Horowitz, with participation from Geodesic Capital and Khosla Ventures. We are excited to partner again with A16Z as the lead investor to continue to build out the company, and we look forward to working closely with Geodesic Capital towards international expansion.
Read MoreWe 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.
Read MoreLike 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.
Read MoreA 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.
Read MoreWe 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.
Read MoreThis 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.
Read MoreMoPub, 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.
Read MoreToday, 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.
Read MoreWe 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.
Read MoreImply 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.
Read MoreToday 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.
Read MoreImply 2.8 comes with the first Apache release of Druid and a host of features aimed at performance improvements and ease of use.
Read MoreIn 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.
Read MoreImply 2.6 introduces time compares, data export, advanced aggregation measures, and more!
Read MoreImply 2.5 comes with an improved streaming data loader, a sunburst visualization, many dashboard improvements, and more.
Read MoreMarch 2018 Druid Bay Area Meetup - eBay Monitoring Platform, links to slides
Read MoreI'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.
Read MoreToday, we are excited to announce that Imply Cloud, a fully managed service for AWS, is now generally available.
Read MoreImply 2.4 comes with a preview of a dataset manager, new features, improvements, bug fixes, and more!
Read MoreIt is now possible to deploy a druid cluster in a secure setting.
Read MoreNovember 2017 Druid Bay Area Meetup video, with talks from MZ and Slack, and a Druid roadmap update from Imply
Read MoreImply 2.3 comes with brand new apps, new features, improvements, bug fixes, and more!
Read MoreWe're excited to announce Imply 2.2, with tons of new features for Pivot.
Read MoreWe 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.
Read MoreOur 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.
Read MoreOur last Druid meetup at Sift Science had 3 great talks about use cases with Druid & Imply, and the upcoming Druid roadmap.
Read MoreWe 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.
Read MoreWe 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.
Read MoreWe 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.
Read MoreToday, 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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