Fast, Fresh, Actionable Insights  at Scale
Real-Time Analytics for Your Business and Your Users. From the original creators of Apache Pinot



Welcome to the New Era of User-Facing Analytics

Analytics as a Product

Go beyond dashboards and infuse analytics into user-facing apps that provide real-time, actionable insights to your users

Empower Your Users

Enable your most important stakeholders to make better decisions with the right information, at the right time

Transform Your Business

Distinguish your products and build new revenue streams while increasing user engagement and loyalty

Apache Pinot: Built for Speed, Proven at Scale

Concurrency: 1000s of QPS

Proven at scale by millions of LinkedIn members and hundreds of restaurant owners who use UberEats

Data Freshness: In Seconds

Within seconds of an event occuring, users get insights that they can act on

Query Latency: Milliseconds

That means truly interactive analytics possible at scale

One Platform, No Boundaries

Internal + External Analytics

Unify your analytics on one platform that powers multiple use cases including user-facing analytics, anomaly detection, and operational analytics

Stream + Batch

Ingest data from batch sources like S3, HDFS, ADSL and GCS, as well as streaming sources such as Kafka or Kinesis

Raw Event + Aggregated Data

Get blazing fast access to both individual events and aggregated data

Today’s innovators are reimagining analytics. Will you be next?
  • LinkedIn
    IGOR PERISIC,CHIEF DATA OFFICER
    Apache Pinot revolutionized the way LinkedIn thinks about data analytics and delivers value to our members and customers through highly dimensional, near-real-time insights. Member experiences, such as ‘Who Viewed My Profile’ data, have been enabled at scale thanks to Pinot’s performance profile. As the first company to use this technology, we are thrilled to see StarTree moving quickly toward commercialization so the rest of the world can reap similar benefits from the platform.
  • Uber
    GIRISH BALIGA,ENGINEERING MANAGER
    Apache Pinot powers the real-time analytics platform at Uber. It is fast, reliable, scalable, and one of the main engines for our user-facing dashboards and real-time insights.
  • Stripe
    PETER BAKKUM,ENGINEERING MANAGER
    Pinot enables us to execute sub-second, petabyte-scale aggregation queries over fresh financial events in our internal ledger. We chose Pinot because of its rich feature set and scalability, which has enabled better performance than our previous solution — at lower cost.
Launch Event Recording Now Available!

Pushing the Boundaries of
Real-Time Analytics
Missed our Launch event? No worries, you can still view the full presentations on demand!. Watch experts from Stripe, DoorDash, LinkedIn, Confluent, Microsoft and Decodable share how they are building value with user-facing, real-time analytics!

Igor Perisic
Chief Data Officer
LinkedIn

Gwen (Chen) Shapira
Engineering Leader
Cloud-Native Kafka

Adi Polak
Sr. Open-Source Big Data Developer
Microsoft

Eric Sammer
CEO
Decodable

Tim Berglund
Senior Director of Development
Advocacy, Confluent

Mike Davis
Software Engineer
DoorDash

Peter Bakkum
Engineering Manager
Stripe

Neha Pawar
Founding Engineer at StarTree
PMC of Apache Pinot

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