1000s of data teams, including those at Netflix, Confluent, and Walmart, choose Druid as their analytics database when real-time matters. Druid is a high performance engine that consistently delivers sub-second queries, even with massive data volumes and high query loads.
Imply is the easiest way to run Druid: all the performance without the overhead.
It's easy to be fast on small data — but we're fast whenever you need it.
Druid's highly efficient architecture makes analytics queries really fast at scale, so that queries against millions to trillions of high-dimensional and high-cardinality data come back instantly.
Ben Sykes | Sr. Software Engineer, Netflix
Druid enables applications with highly concurrent analytical queries to deliver real-time insights, providing consistent speed under heavy load at the lowest cost of infrastructure.
Jeremy Woelfel | Principal Engineer, Target
Druid has a unique, native integration with Apache Kafka and Amazon Kinesis, enabling event-based ingestion, query-on-arrival, and real-time and historical data to be queried together.
Puneet Arora | Engineering Manager, Atlassian
"By using Apache Druid and Imply, we can ingest multiple events straight from Kafka and our data lake, ensuring advertisers have the information they need for successful campaigns in real-time."
Shariq Rizvi
"To build our industry-leading solutions, we leverage the most advanced technologies, including Imply and Druid, which provides an interactive, highly scalable, and real-time analytics engine, helping us create differentiated offerings."
Murtaza Doctor
“We wanted to build a customer-facing analytics application that combined the performance of pre-computed queries with the ability to issue arbitrary ad-hoc queries without restrictions. We selected Imply and Druid as the engine for our analytics application, as they are built from the ground up for interactive analytics at scale.”
Ioana Hreninciuc
“Four things are crucial for observability analytics; interactive queries, scale, real-time ingest, and price/performance. That is why we chose Imply and Druid.”
Gordon Worley
“Imply and Druid offer a unique set of benefits to Sift as the analytics engine behind Watchtower, our automated monitoring tool. Imply provides us with real-time data ingestion, the ability to aggregate data by a variety of dimensions from thousands of servers, and the capacity to query across a moving time window with on-demand analysis and visualization.”
Neeraj Gupta
“We chose Imply and Druid as our analytics database due to its scalable and cost-effective analytics capabilities, as well as its flexibility to analyze data across multiple dimensions. It is key to powering the analytics engine behind our interactive, customer-facing dashboards surfacing insights derived over telemetry data from immersive experiences.”
Aneesh Kulkarni
Imply's Polaris is a fully-managed DBaaS for Apache Druid.
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