About us
Apache Pinot is a realtime distributed OLAP datastore, which is used to deliver scalable real time analytics with low latency. It can ingest data from batch data sources (S3, HDFS, Azure Data Lake, Google Cloud Storage) as well as streaming sources (such as Kafka). Pinot is used extensively at LinkedIn and Uber to power many analytical applications such as Who Viewed My Profile, Ad Analytics, Talent Analytics, Uber Eats and many more serving 200k+ queries per second while ingesting 1Million+ events per second.
Pinot committers are active on slack. Click here to join our slack channel.
This meetup is for developers and users of Apache Pinot to share information on
• How to use Pinot
• Internals of Pinot
• Products built on top of Pinot
More info on Pinot
• Apache Pinot Website
• Get Started Page (StarTree)
Upcoming events
2
- Network event
Beyond the Forklift: Unlocking Revenue-Critical Workloads on Iceberg
·OnlineOnline13 attendees from 10 groupsTo attend, register here.
Apache Iceberg has become the open standard for modern data platforms, yet most adoptions approach migration as a forklift. Governance improves, storage is standardized, and BI workloads run reliably; but the most demanding analytics, the ones closest to revenue and customer experience, are rarely considered in scope for Iceberg.
Those SLA-bound data products—embedded dashboards, fintech merchant cash flow views, surge pricing, fraud detection, incident response—don’t simply go away when Iceberg isn’t built to serve them. If the platform isn’t engineered for deterministic p95/p99 latency and high-concurrency guarantees, the requirement resurfaces elsewhere. What was intended to be a shared system of record becomes relegated to a feeder layer, pushing data into downstream systems where it is re-stored, re-governed, and re-queried outside of Iceberg.
This session outlines a different model: Iceberg as the open system of record, paired with a purpose-built execution layer that enforces deterministic SLAs directly on Iceberg tables, eliminating shadow stacks and restoring architectural coherence for revenue-critical insights.
5 attendees from this group 
Data Streaming World Tour – Bangalore
The Lalit Ashok, Kumarakrupa Rd Bengaluru, Karnataka 560001 India, Bangalore, INRegister for the event here.
StarTree, powered by Apache Pinot™, is proud to be a sponsor of Confluent's Data Streaming World Tour in Bangalore, where the best and brightest minds in data streaming come together!
Join us on April 16 to explore how StarTree’s seamless integration with Confluent Cloud and Apache Kafka® empowers companies worldwide to unlock real-time insights.
44 attendees
Past events
21
