- stellar query performance

- comprehensive documentation

- easy to setup and use

- best in class support

- compares favourably to KDB, once they have missing features, I can see it being actively replacing KDB Review collected by and hosted on G2.com.

- I have struggled with write performance. its not easy to see why.

- its a very competitive landscape and I have used several databases, such as KDB. lack of features such as, lack of support for "DELETE WHERE" can put users away Review collected by and hosted on G2.com.

QuestDB is mind-boggling fast both on ingress and egress, enabling new high-frequency use cases in IIOT. Today industrial time series data are highly compressed to achieve fast access for reporting, dashboarding and analytics. It leaves out a lot of use cases that operate on shorter time scales. We tested several databases, and QuestDB ranked at the top.

I also like the active user community and discussing topics with peers on the slack channel! Review collected by and hosted on G2.com.

QuestDB is missing some features, such as horizontal scaling and the option to delete data. These features are on the roadmapand once completed, it will be challenging to find a more competitive TSDB. Review collected by and hosted on G2.com.

It's super fast yet super simple.

This combination is a rare find and hard to pull off so elegantly.

They seem to have done the base product well; building on this should be exciting!

Also, their free online support makes a big difference to any open-source user. Review collected by and hosted on G2.com.

It's still an early product, so many features are naturally missing. It's not a big deal for some, but it's a deal-breaker for larger-scale production use-cases. That's changing thought. Review collected by and hosted on G2.com.

A highly performant time-series database was the need of the hour. QuestDB is great at processing time-series data in sub 100 ms time. With its support for the InfluxDB line protocol, streaming and batch ingestion of data is a cakewalk. This helps the most when the data is coming from lightweight devices. I like the SQL support that QuestDB has, especially with the extensions. It is worth mentioning that installing and running QuestDB on commodity hardware is really easy for those who want to explore it. The browser-based UI makes the whole process completely hassle-free. Review collected by and hosted on G2.com.

I haven't used the database in production yet. After having explored the SQL capabilities, support for InfluxDB line protocol, and a couple of other features, I haven't come across anything that I really dislike till now. The one thing that can be improved is probably the visualization capability in the browser console. Review collected by and hosted on G2.com.

QuestDB is super fast, and allows me to store and query enormous volumes of data very quickly. I have sensors writing data to QuestDB more than once per second, and it is a significant volume of data. I've not had any data dropped, and I can query hundreds of thousands of rows of data in well under a second with complex SQL queries.

The easy integration with Telegraf for data ingestion has made data collection on the underlying platform that I run QuestDB on.

I especially like that QuestDB can ingest InfluxDB Line Protocol unchanged. This has made a transition from InfluxDB to QuestDB fairly seamless.

Having a single, small binary to install is very convenient.

Now that I can display the results of my data queries in Grafana I'm able to build highly functional dashboards for displaying and reacting to IoT sensor data in real-time. Review collected by and hosted on G2.com.

I wish there was support for ARM64 architecture.

I've had a couple of instances of runaway log files, but Vlad and the team is amazingly responsive in fixing things.

Overall, I'm extremely impressed with, and happy with, QuestDB for my IoT deployments.

I do wish there were an alerting framework built-in, as I've had to create an external framework for generating service and data alerts, but I expect as the product matures these things will arrive. Review collected by and hosted on G2.com.

I used various time-series databases for an IoT sensor project, but I always ran into performance issues, and they were cumbersome to use. That's until I tried QuestDB; I actually couldn't believe it ran so fast that I thought I made a mistake in my SQL code. The team is super responsive and friendly as well. Review collected by and hosted on G2.com.

I'm just waiting for more sharding features Review collected by and hosted on G2.com.

QuestDB is a performant timeseries database able to ingest large amounts of data and query in ms. The console UI is also intuitive as easy to use. A lot of the Postgres features are already supported so no need to learn a new query language. I have not tried out other ingestion methods (e.g. influx line protocol), but it's definitely nice to have Review collected by and hosted on G2.com.

Kubernetes deployment options are currently limited. There is a Helm chart available, but I would like to see other features like replication or running in multiple regions. Review collected by and hosted on G2.com.

I really like the simplicity and ease of use without compromises for performance. It was a very clever idea to implement the Postgres connection protocol and SQL interface; thanks to that, it is possible to use the database with any language which has built-in or third-party support for that.

Also, the interactive web console shipped with the database helps a lot to discover features of the database, generate charts, and gain more experience. Review collected by and hosted on G2.com.

The documentation is well written, extensive, and helpful, though it could be organized a bit better. Review collected by and hosted on G2.com.

I’ve liked SQL query language, easier to start with. Also easy to upload large CSV files and query it quickly. Review collected by and hosted on G2.com.

Hard to tell from my personal perspective, but I’d expect Quest is working on replication and building visualisation capabilities that are critical at larger deployments Review collected by and hosted on G2.com.

The open source nature, the availability of the team, the speed at which they release new features. Finally, the ease of use and performance of the software itself. Review collected by and hosted on G2.com.

No replication yet, and sometimes the query language lacks some mathematical functions. But this is improving. Review collected by and hosted on G2.com.