Analytics in Motion

Interactive queries Sub-second OLAP queries Self-service data analytics Point-and-explore integrated UI
Unlimited scale High query concurrecy PB+ data volumes High ingestion throughput
Real-time & historical data Kafka/Kinesis integrations Data lake integrations Flexible & adaptive schemas
Best price/performance Configurable priceperformance Predictable performance and costs Fine-tune based on usage
Announcing new Series C fundraise led by Bessemer Venture Partners

What can you do with Analytics in Motion?

Solve Analytics Use Cases

(directly with Imply/Pivot)

For... Analysts/Anyone

(using as a Solution)
Observability analytics in motion
Behavioral analytics in motion
Security analytics in motion
Business analytics in motion
endless set of use cases...

Build an Analytics-Powered Application

(with Imply inside)

For... Developers & Product Managers

(using as Infrastructure)
Advertising analytics in motion
Product usage analytics in motion
Security and performance analytics in motion
Network performance analytics in motion
endless set of applications...

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.

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 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.

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.

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

How can we help?