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Quick to write, quick to execute query language
What do you like best about the product?
- Easy to write complicated logic with minimal code
- Has built in query language plus analytical functions
- Has built in query language plus analytical functions
What do you dislike about the product?
- Not everyone uses it and can sometimes be difficutlt to integrate with other application
What problems is the product solving and how is that benefiting you?
Large data capture made possible.
Run queries and generate reports on large amounts of data quickly.
Investigage data quality issues quickly
Run queries and generate reports on large amounts of data quickly.
Investigage data quality issues quickly
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Domain Specific
What do you like best about the product?
KX's features are mostly the relavant ones to the domain, ease of application use and it's dashboard for all areas including infra.
What do you dislike about the product?
Application could have a detailed logging for better troubleshooting.
What problems is the product solving and how is that benefiting you?
Solving the trade Surveillance that are regulatory in nature
KX has listens to our requests and makes recommendations and proposals for the client.
What do you like best about the product?
KX has been attentive to the client's needs and will accomodate client's demands and requests to the best of their abilities.
What do you dislike about the product?
As a seasoned developer in the software industry, KX can drive the core standards for the client to level up, especially for clients lack expertise in the specialisd field.
What problems is the product solving and how is that benefiting you?
KX is helping my firm in the Surveillance System. My firm is taking in trading data from more than 50 platforms and most of them had to be integrated into the surveillance system for monitoring purposes. KX has the capability to take in the data across the multitude of platforms in specific format. They also have the market abuse scenarios ready for implementation upon selection by the client.
Powerful Tool, Challenging to Lean
What do you like best about the product?
The tool is extremely fast and efficient, and makes warehoused data easily accessable.
What do you dislike about the product?
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
What problems is the product solving and how is that benefiting you?
Providing us with pre and post trade analytics to optimise our e-trading.
KX: Fast, Performant.
What do you like best about the product?
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.
What do you dislike about the product?
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.
Debugging KDB+ and PyKX can be frustrating.
What problems is the product solving and how is that benefiting you?
The most used and very powerful freature is the window and asof joins.
We are always impressed with the speed of the results and easy of exporting to
csv's and pushing the data to other parts of the data stack.
The other important freature is the continued intergration with python .
We are always impressed with the speed of the results and easy of exporting to
csv's and pushing the data to other parts of the data stack.
The other important freature is the continued intergration with python .
Cool language, potent for the appropriate environment
What do you like best about the product?
That it is declarative and functional, and somewhat easy to implement when you get used to it
What do you dislike about the product?
The very non-demonstrative exceptions and errors. Once this improves, the ceiling is infinite
What problems is the product solving and how is that benefiting you?
The language is extremely fast and since it is declarative it is easy to mantain
Powerful and fast but with steep learning curve
What do you like best about the product?
The q language allows for incredible amounts of work to be done with comperatively little. People who demonstrate great skill are capable of incredibly quick prototyping and exploration of both data and ideas. The ecosystem with Q-Studio and the ease of use for initial data exploration is incredible and I find it much quicker than spinning up the proper python script or sql query to accomplish the same thing. The underlying database has very strong performance on tick based market data.
What do you dislike about the product?
The Q language has some of the worst error messaging I have ever experienced. The learning curve ends up being extremely taxing since solving problems can take far longer than it would take in a comperable product. The free book does a great deal of work to alleviate this but I think the effort to increase clarity of error messaging would be worth the costs.
What problems is the product solving and how is that benefiting you?
KX is solving the problem of storing all market data used by the firm and offering quants and analysts insight into different aspects. Compared to OneTick, the previous solution, KX offers a much improved overall experience.
Learning KX
What do you like best about the product?
It's very fast to run, and when you're familiar with the language, it's very easy to write programs.
What do you dislike about the product?
It has a very high entry barrier due to its complex syntax and being a functional language.
What problems is the product solving and how is that benefiting you?
It helps me with data analysis.
Kx - the finest database to rule them all
What do you like best about the product?
Willingness to partner with users and customers
Good support across multiple channels (email, forums, listbox)
Timely release of features to address emerging developments (eg., vector db)
Good support across multiple channels (email, forums, listbox)
Timely release of features to address emerging developments (eg., vector db)
What do you dislike about the product?
Tutorials require understanding of KDB+ to resolve issues. A better managed learning management system will greatly help in adoption.
Needs to foster a more collaborative approach - eg., open sourcing pyKx was a great step. Other features such as REST API should be ideally released to the public so that access to basic functionalities are made more widely accessible
Needs to foster a more collaborative approach - eg., open sourcing pyKx was a great step. Other features such as REST API should be ideally released to the public so that access to basic functionalities are made more widely accessible
What problems is the product solving and how is that benefiting you?
Kx supports all major enterprise needs for high-performance computing especially with large TB-PB scale databases that would otherwise take 10x the number of resources and 10x the cost.
KDB is second-to-none for wrangling time series data
What do you like best about the product?
Fast, efficient, highly expressive terse syntax that is beautifully designed and well considered. The ability to mix programming and database primitives together can lead to some very elegant solutions. KDB Developer is a nice addition for EDA/charting. Performance is as fast as the metal allows, and use of multicore is transparent and easy.
What do you dislike about the product?
Steep learning curve; it probably takes some months to really get productive.
What problems is the product solving and how is that benefiting you?
Wrangling time series data for ML pipelines, EDA work, feature engineering.
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