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Journey with KX
What do you like best about the product?
What I like the most is performance and productivity
What do you dislike about the product?
I feel that products on top microservices might be easier to use.
All libraries can be more customizable if they can be viewed as white boxes vs black boxes
All libraries can be more customizable if they can be viewed as white boxes vs black boxes
What problems is the product solving and how is that benefiting you?
Analyzing vast volumes of data in real-time as well as historically
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Wall Street's secret is out
What do you like best about the product?
KX is a beautiful solution for running analytics on large data sets, particularly when time series is involved. Its structure leads to elegant code and small systems that are easy to maintain and cheap to run while delivering performance orders of magnitude better than the competition.
After 20+ years of dominating electronic trading analytics on Wall Street, its latest version with Python integration and cloud interoperability leaves it ideally placed to capitalise on growing data analytics needs in other areas, notably Artificial Intelligence.
After 20+ years of dominating electronic trading analytics on Wall Street, its latest version with Python integration and cloud interoperability leaves it ideally placed to capitalise on growing data analytics needs in other areas, notably Artificial Intelligence.
What do you dislike about the product?
People often say it's difficult to learn, but the reality is that the analytics it supports would be far more difficult to achieve using other "easy" languages and data stores.
What problems is the product solving and how is that benefiting you?
Electronic Trading
Market Making
Client Profitability
Trading Analtics
TIC Data Analytics
Market Abuse Surveillance
Market Making
Client Profitability
Trading Analtics
TIC Data Analytics
Market Abuse Surveillance
My preferred database for timeseries data management, querying and high speed manipulations
What do you like best about the product?
- Incredibly performant data querying allows rapid turnaround times
- Very powerful inbuilt join capabilities - asof and window joins in particular
- Both realtime and historical capabilities
- Very powerful inbuilt join capabilities - asof and window joins in particular
- Both realtime and historical capabilities
What do you dislike about the product?
It can be difficult to find what you need in the documentation
What problems is the product solving and how is that benefiting you?
We use KX software for our timeseries data and their rich query langaguge powers most of our in-house built data quality, data cleansing and data enrichment layers. It is the only software that I have full confidence in for handling our data volumes and also executing our loading and enrichment workloads at high speed and scale.
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
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