“After we switched to Druid, our query latencies dropped to near sub-second and in general, the project fulfilled most of our requirements. Today, our cluster ingests nearly 1B+ events per day (2TB of raw data), and Druid has scaled quite well for us.”

"With Imply, slow queries and syntax struggles have been replaced by slice and dice functionality with sub-second response times. Our team is now armed with a holistic view of both fraud and our application ecosystem."

“Our detection team is constantly faced with evolving threats and new emerging fraud schemes. To keep up with such sophisticated actors, we needed the ability to quickly turn our hypotheses into data-driven decisions. That led us to Imply, which gave us an engine to drive the speed to insight we …

“If your environment is ready and is optimized around the capabilities of Imply, it becomes a very valuable tool.”

“One of the reasons we chose Druid is for the active community—it’s open and transparent, and people can review and contribute to the technology."

“Our advertisers were requesting different slices of their data and [HBase] didn't really support that. We said what’s next for us? And we chose Apache Druid because it met all our key requirements.”

“The foundation of Druid was set keeping modern data analytics in mind—it was the best choice for our real-time use cases.”

“The feature that we immediately loved is the Cluster Manager. With it, we can start a new Druid cluster in our AWS VPC or launch a major update in one click. Before, it was a time-consuming and dreaded operation for our data team.”

“Combining an approximate streaming algorithm (DataSketch) that supports set operations and a fast time-series datastore (Druid) can provide capabilities that previously could take hours.”

“Today we see about 70,000 active users on the platform with about four million queries a day against Apache Druid.”

“Thanks to Apache Druid, we feel not only that we’ve caught up with our competitors–the likes of Adobe, Facebook, Snapchat, and Google–but we are poised to take it to the next level.”

“Why do I have to do all this work just to add another column, or to give a specific market the daily aggregate that they need? We’re paying a fortune for processing and for storage – why can’t we just have a simple, wide view of a table? There must …

“The sheer volume of data we push through Imply is immense, but in an instant, we can answer a precise question like ‘How many ad opportunities were there for Words with Friends in Brighton today at 4 PM?’”

“Imply Pivot allows end users to run queries without a single line of SQL. You can drop a field and it will generate a query for you.”

“Because Imply has all of these features built-in, engineers focus on making products, not operational work.”