Filter By "apache-druid"
Using Imply Pivot with Druid to Deduplicate Timeseries Data
Imply Pivot offers multi step aggregations, which is valuable for timeseries data where measures are not evenly distributed in time.
Upserts and Data Deduplication with Druid
A look at what can be done with Druid for upserts and data deduplication.
What Developers Can Build with Apache Druid
We obviously talk a lot about #ApacheDruid on here. But what are folks actually building with Druid? What is a modern analytics application, exactly? Let's find out
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
This is part two of the Druid 0.23.0 release blog. 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.
Introducing Apache Druid 0.23
Apache Druid 0.23.0 contains over 450 updates from 81 contributors, including new features, significant performance enhancements, bug fixes, and major documentation improvements.
Imply Named “Cool Database Vendor” by CRN
There can’t be one database good at everything. When it comes to real-time analytics, you need a database built for it.
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.