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
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> • https://engineering.linkedin.com/blog/2019/auto-tuning-pinot
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> • Pinot at Uber
Upcoming events (2)
See all- Office Hours | Querying in Apache PinotLink visible for attendees
Note: Please complete your registration in the form>
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Get live help from Apache Pinot experts in our bi-weekly Zoom series! Technical experts from StarTree, including Pinot’s original creators, answer questions and provide monthly how-to guidance.How it works
Sign up with your desired topic. You’ll receive a confirmation email with Zoom details. Submit questions in advance via the registration form Pre-submitted questions are prioritized!What to expect in this session:
In this session, get expert answers to all your questions about querying with Apache Pinot. Whether you're troubleshooting or seeking optimization tips, join us to enhance your querying skills and solve any issues you’re facing.About the speaker:
Gonzalo Ortiz, Apache Pinot Committer and Performance Engineer at StarTree - Indexing with Apache PinotLink visible for attendees
In today's world of real-time analytics, optimizing data retrieval at scale is crucial. Apache Pinot, a powerful distributed OLAP data store, offers robust indexing mechanisms that significantly enhance query performance for high-throughput, low-latency use cases. In this talk, we will explore the various indexing strategies available in Apache Pinot, understand how they impact performance, and discuss best practices for selecting and implementing the right index types. Whether you're working with time-series data, real-time analytics, or high-volume workloads, mastering indexing in Apache Pinot is key to unlocking faster, more efficient data insights.
This session is perfect for data engineers, architects, and developers looking to optimize their big data systems.About the speaker:
Barkha Herman is a technologist, experienced developer advocate, and the founder of WiTVoices and South Florida Women in Tech. With a deep understanding of technology and a love for fostering inclusive and diverse tech communities, Barkha is dedicated to empowering individuals and organizations to thrive in the rapidly evolving digital landscape.
Currently, Barkha is thriving as a Developer Advocate at StarTree.ai, where she collaborates with developers, engineers, and product teams to create innovative solutions that streamline development processes and enhance user experiences.
In addition to her work at StarTree.ai, she takes great pride in founding and leading WiTVoices and South Florida Women in Tech. These organizations are committed to empowering women in technology and creating a supportive environment for their professional growth. Through mentorship programs, networking events, and educational initiatives, they strive to break barriers and foster inclusivity in the tech industry.
For more updates and great content, join our community on Slack>
