Its speed, and the expressiveness of the language, q. The speed of development in the team is difficult to replicate in other languages. Its also a very lightweight technology that runs on standard hardware Review collected by and hosted on G2.com.

There is a bit of an upfront cost to get the grips with the language, which can put some people off, but thankfully it's not a very large language in terms of encyclopedic learning. Review collected by and hosted on G2.com.

Insane performance and elegant minimalist syntax. Ajing billions of rows in a few seconds is perfect for time series data analysis. Review collected by and hosted on G2.com.

Steep learning curve. Threat of writing overly terse and confusing"write only" code ever present. Review collected by and hosted on G2.com.

KDB core is extremely capable of capturing and processing large volumes of timeseries data. Even after 20 years, it still produces moments of "wow, that was fast". The documentation has improved dramatically, barrier to entry reduced and the community of developers/number of partners has grown as a result. With the appropriate skills and experience, the q language and KDB are hard to beat for elegant and efficient timeseries analysis. Review collected by and hosted on G2.com.

The open frameworks and ancillary services solve a lot of the common problems and improved APIs increase access to the underlying data, but the core product is still quite raw and protection from bad user queries is still limited. Review collected by and hosted on G2.com.

After working in the industry for 4 years it has been great learning about the core technology of KDB+, and also seeing the updates and improvements that are still being published. Review collected by and hosted on G2.com.

There can be a higher barrier for entry as it does take some time to learn about the technology, but it has done a great job integrating with other services. Review collected by and hosted on G2.com.

Its performance is second-to-none when it comes to process large time-series based tables. Review collected by and hosted on G2.com.

To best architect a solution, one will have to program in Q, which can be challenging to some people. Review collected by and hosted on G2.com.

Extremely fast and reliable vector database!! Review collected by and hosted on G2.com.

It is still getting cloud ready with AWS, GCP and Azure. Most of use cases are in cloud now a days. Review collected by and hosted on G2.com.

KDB is an exceptional database. The built-in programming language, q, is exceptionally powerful and versatile. It allows us to build very flexible apis, stream low latency trading stats, administer our database, monitor trade performance and adds business value in many many other ways. Review collected by and hosted on G2.com.

There are very few downsides apart from the perceived learning curve to pick up the lanague, which I think is overstated. There are a few potential improvements around multithreadding, which could be a big help, but I've been told they're coming in v4.1 which will be very useful! Review collected by and hosted on G2.com.

Kx is the most performant analytical platform for timeseries and vector analytics. The AWS native integrations take Kx to the next level, and is already transforming how financial services organizations identify alpha in real-time, thanks to unlimited calculation performance in the cloud. The new AWS FinSpace managed Kdb will be a game changer as it takes the hassle out of running kdb and lets banks go straight to utilizing its power. Review collected by and hosted on G2.com.

None, now that it is managed in the cloud. Review collected by and hosted on G2.com.

That it is declarative and functional, and somewhat easy to implement when you get used to it Review collected by and hosted on G2.com.

The very non-demonstrative exceptions and errors. Once this improves, the ceiling is infinite Review collected by and hosted on G2.com.

KX real-time data processing capabilities have been updaralleled, enabling us to make swift, data-driven decision in the dynamic capital markets landscape.

KX is the de-facto technology for real-time analtyics. Review collected by and hosted on G2.com.

While KX offers powerful real-time analytics, its steep learning curve and specialized adoption, slowed its cloud progress compared to other open-source mainstream technologies. Review collected by and hosted on G2.com.