Self-service analytics at scale

Imply’s real-time data platform delivers faster insights for all.

Users need to monitor trends, freely explore data, and understand why things happen.

Imply’s real-time data platform removes bottlenecks to transform the end user’s workflow.

Streaming and batch ingest
Easily connect to message buses, data lakes, and data warehouses.

Unlock sub-second queries
Imply's core engine is Apache Druid, a high performance real-time analytics database.

True self-service analytics
Provide the best end-user experience with best-in-class performance, concurrency, scale, and cost.

A new analytics stack, from the creators of Apache Druid

Connectors Integrate Analyze Engine UI Visualize Manage Management & Security

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.

Analyze

Apache Druid is a real-time analytics database designed for high-speed data ingest and sub-second query response at high concurrency.

  • Druid combines architectural ideas from data warehouses, time-series databases, and log search systems.
  • Ingest millions of events/second and aggregate billions of rows in under a second.
  • Integrate directly with streaming hubs such as Apache Kafka and AWS Kinesis, or file systems such as HDFS and AWS S3.

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: performance monitoring and analytics for Druid.
  • Imply Cloud: fully managed Imply clusters for AWS.

Integrate

 Integrate real-time and historical data from many sources.

  • Streaming ingest at millions events/second.
  • Native Apache Kafka, Amazon Kinesis, and Azure Event Hub support.
  • Out-of-the-box loading from Amazon S3, Google Cloud Storage, Azure Data Lake, HDFS and more.
  • Support for many file types including JSON, CSV, TSV, Avro, Parquet, ORC, and more.

Trusted by leading organizations

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

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