What we’re about
The Real-Time Analytics meetup covers a range of topics around building Real Time Analytics systems; including use cases, technical deep dives, and best practices.
Interested in speaking, organizing, or volunteering? Contact community@startree.ai
This meetup is organized by the founders of StarTree and original creators of Apache Pinot:
Apache Pinot is a Rea-time distributed OLAP datastore, 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.
Resources
> • What is Apache Pinot? https://www.startree.ai/what-is-apache-pinot
> • Launching At LinkedIn: The Story of Apache Pinot
> • For more info on Apache Pinot go to dev.startree.ai
> •Our community is active on slack! Join our slack
Upcoming events
1
- Network event
•OnlineFrom Warehouses to Real-Time: Navigating the New Analytic Database Landscape
Online6 attendees from 10 groupsTo attend, please register here.
Real-time analytics is no longer a retrofit to systems never designed for it — it has become a dedicated category built to deliver both performance and efficiency. Co-hosted by GigaOM and StarTree, this webinar will explore how these systems were designed with a fundamentally different center of gravity by optimizing for high concurrency, sub-second query latency, and operational workloads where freshness of data is non-negotiable.
We’ll define the attributes that set real-time analytic databases apart, provide a clear view of the current landscape, and share a practical framework for navigating technology choices. The discussion will be grounded in real-world use cases across industries—ranging from personalization and anomaly detection to AI/LLM observability—that highlight the unique value of this category.
You’ll come away with:
- Clarity on the category — What sets real-time analytic databases apart from traditional warehouses and OLAP systems.
- A framework for navigation — How to evaluate platforms and choose the right fit for your use case.
- Proven examples — Real-world cases of organizations using real-time analytics for personalization, anomaly detection, and AI/LLM workloads.
Join us to understand why this architectural shift matters, how organizations are already realizing business impact, and where the space is headed next.
Past events
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