dashdoesdata

8 ms·

1. 1.▲
   Benchmark demonstrates 5-37x improved performance for query on Iceberg tables(startree.ai)

   7 points by dashdoesdata 5mo ago|2 comments
2. 2.▲
   by dashdoesdata 5mo ago

   At StarTree, we've taken a novel approach to querying Iceberg tables: applying Apache Pinot-style indexes to improve performance, lower costs, and increase concurrency… without moving data into a separate system. In our tests on a ~1TB
3. 3.▲
   by dashdoesdata 5mo ago

   Sadly, the economics of this will never work out. I ride BART and Caltrain multiple times a week. Trains are delightful. And so are planes. It typically costs about $100, and takes an hour to fly from SF to LA. The train will be slower and
4. 4.▲
   by dashdoesdata 8mo ago

   You need to look at use-case alignment as well as performance. Apache Pinot, Druid and Clickhouse are designed for low-latency analytical queries at high concurrency with continuous ingestion. Pinot is popular because of it's native in
5. 5.▲
   Meesho Rebuilt Their Real-Time Analytics Platform(meesho.io)

   1 points by dashdoesdata 8mo ago|1 comments
6. 6.▲
   by dashdoesdata 8mo ago

   Interesting post from Rajat Rana on Meesho's technology blog. Meesho is a huge Indian e-commerce platform. He shares how, and why, they rebuilt their real-time analytics platform on Apache Pinot to support a wider variety of sophistica