Real-time analytics at scale

Imply’s multi-cloud data platform delivers faster insights for all.

How we work

Easy data ingestion
Load streaming or batch data from message buses, data lakes, or data warehouses.

Fast, consistent results
Achieve sub-second analytic queries at any concurrency and scale.

Power data applications
Deliver a consistent and interactive experience to your users.

A full-stack data platform, from the creators of Apache Druid

Connectors Integrate Analyze Engine UI Visualize Manage Management & Security


Imply Pivot is an intuitive UI for performing self-service analytics through a simple drag-and-drop interface. Flexibly explore data.

  • Every visualization is fully interactive and supports drill downs.
  • Updates occur in real time, based on fresh incoming data.
  • Customizable alerts notify you of changes in your data.
  • Drag-and-drop dashboards let you organize and share key visualizations.


Apache Druid is a high performance analytics database designed for fast data ingest and sub-second query response.

  • Ingest millions of events/second and aggregate billions of rows in under a second.
  • Power interactive applications where you need to deliver a consistent and interactive end user experience.
  • Load data from streaming message buses such as Apache Kafka and AWS Kinesis, or file systems such as AWS S3 or Azure Data Lake.


Imply makes managing, deploying, and monitoring clusters easy.

  • Imply Manager: one-click cluster deployments and updates for any *NIX-based environment including public and private clouds.
  • Imply Clarity: user experience and performance monitoring and analytics.
  • Imply Cloud: fully managed Imply clusters for AWS.


Ingest real-time and historical data from many sources.

  • Streaming ingest at millions events/second from Apache Kafka, Amazon Kinesis, and Azure Event Hub.
  • Batch ingest from Amazon S3, Google Cloud Storage, Azure Data Lake, HDFS and more.
  •  Many file types supported including JSON, CSV, TSV, Avro, Parquet, ORC, and more.

Trusted by leading organizations

Imply’s Pivot enables users across NTT GIN to freely explore data. Users have unlocked new use cases, are creating their own customized dashboards, and are freely sharing insights.

Paolo Lucente, Big Data Architect, NTT

In search of an enterprise partner for Druid, we found Imply to be the perfect one.

Arpit Dubey, VP, Big Data Platform Lead

Imply Pivot provides all the tooling required for data exploration. The ability to perform self-service really empowers our users. It also gives us really fast query times. 98% of our queries take less than 500 milliseconds.

Nicolas Ngorok, Engineering Manager

At VRBO, a leading vacation rental platform, we have created complex OLAP data cubes on Apache Druid to analyze real-time user clickstreams, combining streaming and batch data running in AWS. Imply Pivot complements Druid with an outstanding and intuitive UI for analyses of traveler behavior and trends.

Chandra Raju, Sr. Manager, Digital and Analytics Platform

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.

Jaylyn Stoesz, Data Engineer

With Imply, now we're running at least 10 times faster than when we started.

Pankaj Tiwari, Head Of Engineering

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