What we’re about
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 100k+ 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
• Apache Pinot Docs
Blog posts
> • https://engineering.linkedin.com/blog/2019/03/pinot-joins-apache-incubator
> • https://engineering.linkedin.com/blog/2019/06/star-tree-index--powering-fast-aggregations-on-pinot
>
> • https://engineering.linkedin.com/blog/2019/auto-tuning-pinot
>
> • Pinot at Uber
Upcoming events (3)
See all- The Open Source Afterparty W/ StarTree, Daft, Nvidia, Datastrato, & More!Needs location
This page is closed for RSVP, please RSVP on the original event page HERE>
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Join us for an exciting evening in collaboration with Data for AI Bay Area of insights, networking, and innovation as we explore the cutting-edge world of data infrastructure, graph databases, integration systems, and machine learning! Whether you're a founder, engineer, executive, or innovator, this event is designed for those who are passionate about the future of AI and the data that drives it.We're excited to bring you an amazing roster of speakers with fantastic teams working on cutting-edge technology in Data & AI.
## Event Highlights
- Networking Opportunities: Connect with like-minded professionals who share your passion for AI and data.
- Expert Talks: Gain insights from industry leaders and pioneers in the field
- Sven Chilton, Deep Learning Developer Advocate @ NVIDIA
- Peter Corless, Director of Product Marketing @ StarTree, "Driving Architectural Factors for Real-Time Data Analytics"
- Colin Ho, Founding Engineer @ Daft
- Interactive Q&A Sessions: Engage directly with our speakers and get your questions answered.
- Innovative Ideas: Discover new approaches and technologies that are shaping the future of AI.
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This page is closed for RSVP, please RSVP on the original event page HERE>
Not open - Real Time Analytics Summit 2025 | Online EventLink visible for attendees
The Real-Time Analytics Summit is Back – Online!
The agenda is live, and registration is open!
Save your seat here >We’re thrilled to invite you to the Real-Time Analytics Summit, a free virtual event bringing together top experts, industry leaders, and real-world practitioners to explore the latest in real-time analytics!
📌 What to Expect:
✅ Keynotes & deep-dive sessions from data experts
✅ Real-world Apache Pinot use cases from Uber, Stripe, JustEat, and more
✅ Live demos showcasing real-time analytics in action
✅ Networking & Q&A with industry leaders📅 Date: May 14th
🕒 Time: 9:00 AM PDT
📍 Location: Online
Catch up on sessions from past years here >❌ Can’t join live? No worries! Register anyway, and we’ll send you the sessions on demand.
For questions about the event or general inquiries, please reach out to info@rtasummit.com
- Apache Pinot Contributor Call #2Link visible for attendees
Join us for our monthly Contributor Office Hours - a casual, open session to:
✅ Present your pull requests, proposals, or ideas
✅ Ask questions and get live feedback
✅ Learn how to get started contributing to Apache Pinot
Whether you’re a seasoned committer or brand new to the project, you’re welcome to join!Hosts: Xiang Fu & Robert Zych (Apache Pinot Committers)
Agenda:
8:30–8:50 : “Build your own UDF in Apache Pinot” by Xiang Fu
8:50-9:00 Discussion
9:00-9:20 Optimizing queries in Apache Pinot by Yash Mayya
In this session, you'll learn all about optimizing queries in Apache Pinot - starting from simpler techniques like indexation that apply to both the single-stage query engine and the multi-stage query engine and then moving onto some more advanced techniques like co-located joins that apply only to the multi-stage query engine.
9:20-9:30 DiscussionWant to be involved? Join the Contributors channel on Slack >
*The call will be recorded and shared on the channel afterwards^
Join the Community Monthly Newsletter : Everything's Apache Pinot! (and get a chance to win a T shirt!)
