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
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LinkedIn
IGOR PERISIC,CHIEF DATA OFFICERApache 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.
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Uber
GIRISH BALIGA,ENGINEERING MANAGERApache 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.
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Stripe
PETER BAKKUM,ENGINEERING MANAGERPinot 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.