How Apache Druid Does Real-Time Analytics Better - an Imply Lightboard
A successful analytics application needs a lot: Sub-second interactivity. High concurrency. True real-time data. Non-stop reliability. In this video, Carl Dubler from Imply shows you how Apache Druid does it. Learn the basic building blocks of a Druid system, how data is ingested in real time and batch mode, and the unique architecture that keeps Druid running with sub-second response time no matter what.
Learn more:
Druid architecture and concepts: https://imply.io/druid-architecture-c...
What developers can build with Apache Druid: https://imply.io/blog/what-developers...
Sub-second at scale: https://imply.io/sub-second-at-scale/
True stream ingestion: https://imply.io/true-stream-ingestion/
Non-stop reliability: https://imply.io/non-stop-reliability/
Connect:
Subscribe: / implydata
Imply GitHub: https://github.com/implydata
Apache Druid GitHub: https://github.com/apache/druid
Twitter: / implydata
LinkedIn: / imply
About Imply
Developers are in the driver’s seat when it comes to analytics, building applications that serve real-time insights on terabytes to petabytes of streaming and batch data at hundreds to thousands of queries per second.
With Imply, developers have a database that is uniquely built for these analytics applications, delivering sub-second queries at scale and under load. The result? No spinning wheel and no limit to the analytics in their applications.
Check us out at https://imply.io/