Product
Overview Imply Cloud Imply Pivot Imply Clarity Imply Manager Services
Open source
What is Druid? Druid vs Imply Druid forum
Customers
Solutions
Data applications User behavior Network monitoring Fraud operations Application performance IoT metrics Digital advertising Business intelligence
Resources
Demo videos White papers Video library Druid University videos Druid Summit videos Documentation Help center
Company
About us Leadership & board Careers Press releases News & events Newsletter Partners
Blog
Contact
Get started
search-icon

A complete data platform for real-time analytics

Fast queries and fast ingest in any cloud.

Get started

How we work

Streaming Data Data
Application
Batch Data Reports
Data Products
Data APIs
Dashboards

High performance at low cost

Sub-second analytic queries at a fraction of the cost of traditional solutions.

Consistent query latency

Mix simple and complex queries and workloads and provide fast results on both.

Built for high concurrency

Deliver a great end user experience even eith highly concurrent usage

Learn More

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

Management & Security Manage UI Visualize Engine Analyze Connectors Integrate

Manage

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.
Learn more

Visualize

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.
Learn more

Analyze

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.
Learn more

Integrate

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.
Learn more

Trusted by leading organizations

Fraud Real-time analytics Network flows AML and fraud detection Advertising Product analytics Product analytics Ad fraud Security analytics Advertising Self-service analytics Network performance Clickstream analytics Self-service analytics Ad hoc analytics Real-time insights Operational analytics User behaviour Dashboarding/analytics Event stream analytics

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

How can we help?