Throw as much streaming data as you want at Druid. It was made to handle it.
For other databases, stream ingestion is an afterthought. Druid was built for it.
Handle billions
of daily events
Never worry about
data consistency
Query in actual
real-time
Druid connects natively to Apache Kafka and Amazon Kinesis with indexing processes that actually use Kafka’s own partition and offset mechanisms and Kinesis’ own shard and sequence mechanism. There’s no connectors to update and maintain. And there’s no batch processing masquerading as “streaming” like other databases do.
Druid can handle billions of events per day with an architecture that takes streaming topics and turns them into tables which are partitioned over multiple servers (thousands of them if you need it). Combined with batch ingestion, applications can compare real-time and historical data.
With Druid, you don’t wait for events to be persisted to storage like you do with other databases. Druid ingests streaming data into segments, each held in memory while written to deep storage, so they are available instantly to your application.
Druid has a true event-by-event ingestion engine, meaning guaranteed exactly once ingestion without the roll your own solutions that other databases require. Plus, if there is a failure during ingestion, Druid automatically recovers with no data loss – even events that arrive during the outage.
Engage with other Druid believers. Share knowledge. Expand your network.
Ready to let Imply help you build your modern analytics applications? Or just looking to find out more? Get started today by signing up for a free trial of our fully-managed DBaaS, chatting with one of our experts, or setting up a demo.
Select one of the options on the right, and we’ll help you take the next steps in leveraging real-time analytics at scale.
Get started now with a free 30 free trial, no credit card, no commitment required.
Need more information about Imply and how it works?
Then let us set you up with a demo.
