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Introducing Imply 2021.01 LTS – our first Long Term Support release
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.
Introducing Imply CrossTab: an infinite Excel PivotTable
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.
Imply Moves to Monthly Releases
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.
Eating our own dog food
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.
Introducing Apache Druid 0.20.0
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.
Introducing Imply 4.0
Welcome to Imply 4.0! This release includes significant (6-11X) query performance improvements, plus management and usability enhancements.
Extend your cloud data warehouse to power modern, interactive data applications
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.
Introducing Apache Druid 0.19
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.
Hot analytics and the data warehouse deficit
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.