The complete Druid enterprise
experience is called Imply



Many companies including Twitter, Citrix, and GameAnalytics started with open source Druid and then realized the big advantages - driving down TCO and giving back time to engineers - by partnering with us as they scaled their environment.


Some of these advantages include:

  • Remove production risk with expertise from the original team that created Apache Druid, and 24/7 world-class support

  • Simplify data operations and reduce time spent on low-value tasks and keeping the lights on with an effortless enterprise solution and cloud service

  • Free up development cycles with point-and-click deployment, automatic scaling, and enterprise features out-of-the-box


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Enter Analytics in Motion - the next frontier of digital transformation


Attending the trade show? If you and your team are attending the trade show on , let’s set up a time to meet to show you how Imply helps leading organizations create new value by delivering a solution that is:

Interactive: Queries can be created on the fly, database and app/UI
Highly scalable: Built for massive data volumes and high search concurrency
Real-time: Ingest from Kafka, Kinesis, and batch
Cost-effective: Fastest queries at the lowest cost

Our free demo illustrates how Imply enables:

  • Real-time analytics with billions and trillions of rows of data
  • Slice and dice data as it comes
  • Derives insights from real-time and historical data with intuitive visualization

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Imply / Druid is the answer

Leading organizations leverage Imply / Druid as their analytics database for modern analytics applications.

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Cisco ThousandEyes

"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."

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Twitter

“We chose Druid and Imply for the foundation of MoPub Analytics. Apache Druid (incubating) provides a set of capabilities that borrow from OLAP, timeseries, and search systems. It can achieve low latency (seconds) for queries at the expense of some query flexibility.”

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Salesforce.com

“Druid is unique among related technologies: it is both an OLAP database (can be compared with Vertica, RedShift and Snowflake), a distributed query processor, a time-series DB, has stream processing features, and has UI visualization that supports pivots. Druid brings its best abilities with numerical and time-series data, and its ability to continuously ingest real-time business event streams makes it better for real-time queries.”

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GameAnalytics

“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.”

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Sift

“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.”

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Strivr

“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.

FirstName LastName

Product Manager

Imply

FirstName LastName

Product Manager

Imply

FirstName LastName

Product Manager

Imply

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