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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.

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."

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.”

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.”

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.”

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.”

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.”