The New Database Battle: Apache Druid vs. ClickHouse
They both say they’re fast; they both say they scale. Should you flip a coin or are there real technical differences that matter? The developers at Netflix, Twitter, Confluent, Salesforce, and many others chose Druid for good reason.
Watch this webinar recording and get the facts that layout the differences. And if you’re a ClickHouse user looking for a change, we’ll show you an easy path to Druid via Imply.
Here’s what we’ll cover:
Architecture: the differences of each system’s design
Flexibility: how you scale-out on both systems
Streaming: how each system handles high-volume event data
Resilience: what you do on each system to avoid losing data
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/