At my organization, we needed to build a real-time analytics system for OTT streams and for this we needed a solid Time Series Database. Initially, we were using Elasticsearch but once we needed to scale up, we consistently faced latency issues. So we needed a Time Series database that could handle the load of billions of rows every day. We decided to give TimescaleDB a try and there also we faced multiple issues regarding latency. Then we discovered QuestDB and it was a game changer for us. After initial analysis, we found that QuestDB is more performant than Timescale and Elasticsearch, so we decided to give it a chance. Our use case was to ingest 3 million rows per second and QuestDB was able to handle this load easily. We have been using QuestDB since 2022 now and we never looked back for another database.
QuestDB is extremely performant. Both with data ingest and querying the performance is unmatched. It is reliable and fast enough for any financial application you might need it for. It is easy to set up and get started with right away with a local database and you are off running.
- Very responsive and co-operative support from developers/community.
- Helpful features already up and running from various versions, many more to come in the future!
- Clear roadmap that clarifies what we can expect and when.
- Loads of tools to integrate with.
QuestDB is an open-source, SQL-first time-series database for the toughest workloads—from trading floors to mission control. Vectorized columnar execution delivers high-throughput ingest and millisecond queries. Multi-tier hot→Parquet on object storage via one SQL surface. Open formats (Parquet/Arrow), AI-ready, and lock-in free.