- Easy to write complicated logic with minimal code
- Has built in query language plus analytical functions Review collected by and hosted on G2.com.
- Not everyone uses it and can sometimes be difficutlt to integrate with other application Review collected by and hosted on G2.com.
Vectorized nature and the power of the product to crunch data sets utilising the hardware efficiently Review collected by and hosted on G2.com.
The documentation and community collaboration was not great in past but has improved massively Review collected by and hosted on G2.com.
The tool is extremely fast and efficient, and makes warehoused data easily accessable. Review collected by and hosted on G2.com.
As a user with limited knowledge of kx products, it's very hard to learn initially. Limited resources online makes the barrier to entry even more significant Review collected by and hosted on G2.com.
for real time data applications, it provides the best latency in the market Review collected by and hosted on G2.com.
it is not open source framework, but the team is working towards it. Review collected by and hosted on G2.com.
KX's features are mostly the relavant ones to the domain, ease of application use and it's dashboard for all areas including infra. Review collected by and hosted on G2.com.
Application could have a detailed logging for better troubleshooting. Review collected by and hosted on G2.com.
The fastest time-series database, we have used. The different types of join are very useful, once you learn ALL of them and their nuances. Using PyKX in the jupyter notebook, we have access to the console in a cell. This is very nice freature when debugging and proto-typing. Review collected by and hosted on G2.com.
The licensing and setup can be very difficult to manage and and maintain. Setting up PyKX, with the dual licenses available -- being open yet closed -- is confusing.
Debugging KDB+ and PyKX can be frustrating. Review collected by and hosted on G2.com.
KX products are extremely powerful and versatile. Review collected by and hosted on G2.com.
KX licenses could be expensive for a small organization. Perhaps it has to be considered the benefits in the long term adopting KX products, i.e. whether at the end, KX licenses makes you saving money. Review collected by and hosted on G2.com.
Lightening fast. Columnar and vector approach.
Low foot print . Can be spun up in Raspbery pi . Review collected by and hosted on G2.com.
Learning curve is high but lot of documentation and training. Kx academy is very helpful for a new learner . Review collected by and hosted on G2.com.
The q language - an incredibly efficient way to write code. Once the initial learning curve had been mastered, proficient q developers can achieve more with less, improving time-to-market, enabling market data and analytics systems to quickly innovate and keep up with changing market behaviour. Review collected by and hosted on G2.com.
When I first started writing kdb/q code in 2003, there was almost zero documentation to be found, but this has improved so much in 20 years - code.kx.com is an amazing resource and Kx Academy is a great tool to introduce new developers to the language. Review collected by and hosted on G2.com.
The terseness of Q language has won me. So much could be done in so less is amazing about KDB/q.
Even the whole application is only few KBs and that contains whole world of analytical functions with well thought implementation to work on huge dataset in a jiffy.
It's highly recommended for the scalable timeseries data specially for huge volumes where lot of analysis is involved and speed is the key. Review collected by and hosted on G2.com.
Though I have seen the documentation and online helps improving over last one decade, as compared to other traditional databases and languages, there is still a significant gap. Moreover, for many years, it has been a closed community with not much documents in public domain. But now, it's no more the same. There are a lot of forums and helps available. Review collected by and hosted on G2.com.