How Druid Does It, Part 2: True Stream Ingestion - An Imply Lightboard
Every database vendor says they can do streaming data. What they mean is they can connect to streaming sources. But they still ingest the data in batch mode, which presents many problems.
In this Lightboard video, Carl Dubler with Imply shows you how Apache Druid does it. Learn about Druid’s native connectivity to Kafka and Kinesis, query on arrival, and guaranteed “exactly once” semantics.
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/