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After using KX, it's hard to go back to anything else
What do you like best about the product?
Kx has an extremely minimal language, and though it looks foreign at first it is actually quite simple and barebones. This simplicity allows you to work on the essential complexity of your problem instead of the incidental complexity added by the tools.
Having used many of the popular alternatives, databricks/clickhouse/hadoop/pandas/polars none achieve the simplicity and elegance provided by this platform.
Having used many of the popular alternatives, databricks/clickhouse/hadoop/pandas/polars none achieve the simplicity and elegance provided by this platform.
What do you dislike about the product?
Kx is a proprietary product this prevents mass adoption. This makes integrating with other tools harder.
Recent releases of pykx and pgwire have made massive strides towards integrating with the larger ecosystem.
Recent releases of pykx and pgwire have made massive strides towards integrating with the larger ecosystem.
What problems is the product solving and how is that benefiting you?
Kx allows us to see real-time trends in a client-facing business. Also, when debugging large datasets, nothing beats q for slicing and dicing the data.
Excellent performance and productivity
What do you like best about the product?
It's a very powerful, flexible and high performance system. It's really a programming language which also has a database, which brings a great deal of flexibility. The language, q, provides very succinct ways of expressing relatively complex operations.
There aren't many systems that provide capabilties to operate on all of streaming, in-memory and storage backed data.
The community of developers is small, but accessible and helpful.
There aren't many systems that provide capabilties to operate on all of streaming, in-memory and storage backed data.
The community of developers is small, but accessible and helpful.
What do you dislike about the product?
The programming language, q, can be a double edged sword- there is a (sometimes overstated) learning curve. The learning curve is related to both the syntax and the mindshift change required when coming to a vector language from a more traditional programming background. The upside though is the expressiveness and productivity achieved when the curve is overcome.
The standard tooling is limited- you end up building a lot which you don't have to with other systems, but then because people like the language and system they sometimes end up buliding too much which would be better done in other ways.
The standard tooling is limited- you end up building a lot which you don't have to with other systems, but then because people like the language and system they sometimes end up buliding too much which would be better done in other ways.
What problems is the product solving and how is that benefiting you?
All the problems associated with time series data storage, management and analysis.
Very powerful and fast database technology
What do you like best about the product?
Highly efficient vector-based database technology to store large volumes of data and its super fast query performance. With its built-in q language, complex logic can be written with just a few lines of code!
What do you dislike about the product?
Users can get intimated by the learning curve of Q. However, with the recent offerings, especially open-source PyKx, interface with this database seem fairly easy.
What problems is the product solving and how is that benefiting you?
To build multi-asset Trading analytics platform
Excellent Product
What do you like best about the product?
Functional programming aspects of Q langauge.
Concise and can efficiently query large datasets.
Concise and can efficiently query large datasets.
What do you dislike about the product?
No RDB memory protection for very large queries.
What problems is the product solving and how is that benefiting you?
Financial data reporting and analytics.
Great accomplishments with Kx
What do you like best about the product?
It is fast and allows a lot to be achieved with very little code.
What do you dislike about the product?
Hard to find coders and the community is rather small.
What problems is the product solving and how is that benefiting you?
KX allows me to build and run large simulations very quickly.
The best product for time-series DB management for years
What do you like best about the product?
Its performance is second-to-none when it comes to process large time-series based tables.
What do you dislike about the product?
To best architect a solution, one will have to program in Q, which can be challenging to some people.
What problems is the product solving and how is that benefiting you?
The ability to join trades and quotes using historical and real-time data. Doing this helps us understand the state of the financial markets at single-tick-resolution, which is the highest resolution possible.
The best database I've ever worked with
What do you like best about the product?
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.
What do you dislike about the product?
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!
What problems is the product solving and how is that benefiting you?
Financial services TCA / algo trading monitoring
KX provides fantastic business solutions
What do you like best about the product?
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.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
The ability to integrate everything from loading to visualizing the data for the client using KX products is essential for my day-to-day work. Using kdb+ to store data and Kx Dashboard for visualization, and also helping client potentially migrate to newer KX services.
Outstanding vector-based database performance. Best of breed in time-series, which was my use case
What do you like best about the product?
Q is terse and easy, but powerful. KDB is lightning fast.
What do you dislike about the product?
Still not as cloud-native as I'd like, but improving with recent announcements (Amazon FinSpace).
What problems is the product solving and how is that benefiting you?
Market surveillance, business analytics
Very powerful technology
What do you like best about the product?
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
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
We are a trading firm that uses kdb+ for our data warehousing as well as quantitative trading. We use kdb+ for data capture, storage, calculating and reacting to signals, as well as machine learning with python plugins. I suspect our team is smaller in size than comparable teams, in large part due to the productivity gains to be had with kdb+
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