Fastest open source TSDB on market - serious competitor for kdb+
May 31, 2021

Fastest open source TSDB on market - serious competitor for kdb+

Anonymous | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with QuestDB

Ticker plant for market data.
  • Extreme performance.
  • Super easy to use.
  • Compatibility with Influx line protocol.
  • PostgreSQL compatibility.
  • Out of order timestamps.
  • Support for multiple records with same timestamp.
  • Integration with Grafana.
  • Team responsiveness.
  • New project so needs a bit polishing.
  • Performance.
  • Ease of use.
  • Out of order timestamps.
  • Support for multiple records with same timestamp.
  • Grafana integration.
  • PostgreSQL API.
  • Reduced cost.
  • Increased efficiency.
  • Faster time to market.
We were looking for time series database that will be able to handle L2 market data and came across QuestDB. From the beginning we were impressed how well the QuestDB performs and that it actually significantly outperforms all other open source TSDB on market like InfluxDB, ClickHouse, Timescale, etc. Apart from the excellent performance it is also super easy to use and deploy which makes the experience of using the database very pleasant - we were able to be up and running and storing data within few hours. Topic itself is the QuestDB team that is super responsive on their slack channel and always ready to help with any query. They are constantly improving the product and if there is some missing feature that is blocking you from usage they always try the best to implement such feature asap and release a new version - one of the best support I have ever seen so far in open source community.

Do you think QuestDB delivers good value for the price?

Yes

Are you happy with QuestDB's feature set?

Yes

Did QuestDB live up to sales and marketing promises?

Yes

Did implementation of QuestDB go as expected?

Yes

Would you buy QuestDB again?

Yes

QuestDB is well suited for any use case where you need to store large amount of data and the performance is the key factor - for both reads and writes. So use cases like market data storage in financial industry, any kind of telemetry, etc.