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.
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 MoreA 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.
Read MoreOperational 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.
Read MoreThe 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.
Read MoreWe ingested our internal AWS VPC netflows into Imply and found something surprising.
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 MoreWith 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.
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 MoreIt’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.
Read MoreThe 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.
Read MoreToday, 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.
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 MoreSome 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.
Read MoreEverything 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.
Read MoreI 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.
Read MoreA 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.
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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