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Apache Druid vs. Snowflake
Elasticity is important, but beware the database that can only save you money when your application is not in use. The best solution will have excellent price-performance under all conditions.
Druid 0.23 – Features And Capabilities For Advanced Scenarios
Many of Druid’s improvements focus on building a solid foundation, including making the system more stable, easier to use, faster to scale, and better integrated with the rest of the data ecosystem. But for advanced users and potential/existing contributors of the Druid project, here's a peek behind the scenes.
Druid Architecture & Concepts
In a world full of databases, learn how Apache Druid makes real-time analytics apps a reality in this Whitepaper from Imply
Living the Stream
We are in the early stages of a stream revolution, as developers build modern transactional and analytic applications that use real-time data continuously delivered.
Migrating Data from ClickHouse to Imply Polaris
In this blog, we’ll review the simple steps to export data from ClickHouse in a format that is easy to ingest into Polaris.
Java Keytool, TLS, and Zookeeper Security
Lean the basics of Public Key Infrastructure (PKI) as it relates to Druid and Zookeeper security.
Building high performance logging analytics with Polaris and Logstash
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.