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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.
A Look Under the Surface at Polaris Security
We have taken a security-first approach in building the easiest real-time database for modern analytics applications.
Upserts and Data Deduplication with Druid
A look at what can be done with Druid for upserts and data deduplication.
When Streaming Analytics… Isn’t
Nearly all databases are designed for batch processing, which leaves three options for stream analytics.
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.
Introducing Apache Druid 0.23
Apache Druid 0.23.0 contains over 450 updates, including new features, major performance enhancements, bug fixes, and major documentation improvements.
How Imply Polaris takes a security-first approach
A primer for developers on security tools and controls available in Imply Polaris