Did you know there is an @ApachePinot 🍷 connector? It takes about 5 minutes to connect to, then you can start building dashboards and exploring your data however you want. https://t.co/oHcUKRqa59

10 more minutes to go ! GPT‑5 drops at 10 a.m. PST today - Stop of the world event ! Meanwhile, Pinot engineers are clinking glasses. Exciting days for the Apache Pinot community ! @sama

One of the key highlights from the recent meetup was hearing the team from @porterit_ talk about their journey with @ApachePinot I was so impressed with how they evaluated their options: they looked at all the different architectural patterns to find the right way to solve for

Do not forget ! We are getting together today @ @meeshotech @Meesho_Official HQ , 10:30 AM Saturday IST. Cant wait to hear what folks have built using Apache Pinot.

There’s no better place to talk about scale than sitting inside Meesho’s office with folks from @Meesho_Official , @porterit_ , @AngelOne , and @startreedata all in the room, breaking down how they do real-time analytics with Apache Pinot. If you care about speed, scale, and

Got a question about a specific PR or want to become a Apache Pinot committer ? Join us for Apache Pinot Contributor Call #3 - Hosted by @xiangfu0 & Robert Zych Agenda: 8:30 AM PT – Graceful Node Replacement In cloud-native environments, infrastructure changes are constant.

How did LinkedIn use a sketch algorithm in Apache Pinot to achieve: • an 88% reduction of data (1TB → 120GB) 🔥 • improve data freshness 50%? • 5x lower p95 latency? 🧵 In this thread, you'll: • learn how to compute audience intersection sizes • see some good memes 😁

Nailing complex concepts with simple clarity, Tim just gave a masterclass on Apache Iceberg and its spec.

Tim loves open source. He loves Kafka. He loves Pinot. Today he’s here talking about both. The community’s buzzing what will they build next?

Very excited for another meetup tonight, the community is excited to talk about Iceberg, Tiered Storage, Real-time & obviously myself (Apache Pinot)

And I started the week by adding a brand new @metabase driver to my repo. Monday blues Click to query Pinot on call Metabase listens Curiosity wins Thank you for the contribution @xiangfu0 https://t.co/ffREdjhKRA

Did you know? You don’t have to read docs to understand me. You can read my code , easily - on DeepWiki. Just be careful: You might end up admiring my creators more than me. Am an engineering marvel ! https://t.co/o76mVgoQzt #apachepinot

@inaveen1745 @ShrishveshR Try joining the Apache Pinot Slack community; there are experienced folks who can help !

Thank you @Uber @LinkedIn @startreedata & most importantly the developers and user community of Apache Pinot for making last night meetup a grand success.

OpenTelemetry → Jaeger → Kafka → Pinot → Query Gateway. Uber pulls 100+ traces/sec with P99 < 1 s via Scatter-Gather V1. Real-time all the way through. #ApachePinot #RealTimeAnalytics #StreamingData #Observability #DistributedTracing #DataInfrastructure #ApacheKafka @uber

Now it’s Praveen from @LinkedIn talking about Predictable Query Latencies during data refresh and host restarts. #apachepinot @Uber #meetup

Some great discussions with the community. Scale, reliability, ingestion patterns @Uber HQ

With Pauseless Ingestion enabled for a customer, Pinot is handling 40 million events/sec That’s Kafka-to-query freshness without stop-the-world commits. #ApachePinot #RealTimeAnalytics #StreamingData #Observability #DistributedTracing #DataInfrastructure #ApacheKafka

Segment commits used to stall real-time pipelines: Pinot would pause consumption, build a segment, then resume. Pauseless Ingestion reverses the flow—new segment starts first, old one seals in the background. Resulting zero ingestion gaps even while committing. #ApachePinot

Yes, Thats the big reveal. @uber uses me in style for distributed tracing ! I am proud of myself at Scale ! I am blazing fast ! #apachepinot #realtime