kdb+ vs. QuestDB

When you are dealing with large scale time series data, [there are] no better alternatives. I've seen some firms use other so called "big data" alternatives, and claim they can store the data just as efficiently. However, once you want to generate sophisticated analytics from the data, nothing beats kdb+

Incentivized

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.

• Efficient computing.
• Code interpretation is fast.
• Designed with finance in mind.

Incentivized

• 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.

• It is sometimes painful to accept the fact that KDB+ is not fully multithreaded.
• The ability to write shorter code for a complex logic is really good. But it makes it really cryptic. Cryptic codes are very difficult to maintain and extend.
• For some small institutions license cost is little high.

Incentivized

• New project so needs a bit polishing.

switching costs

Incentivized

its ok

Incentivized

We don't use it.

Incentivized

Incentivized

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.

• Ability to get insights into a large production system.
• Ability to handle data volumes greater than more basic databases / query languages.

Incentivized

• Reduced cost.
• Increased efficiency.
• Faster time to market.