Reviews from AWS Marketplace
0 AWS reviews
-
5 star0
-
4 star0
-
3 star0
-
2 star0
-
1 star0
External reviews
External reviews are not included in the AWS star rating for the product.
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 .
- Leave a Comment |
- Mark review as helpful
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.
KX technology delivers unmatched speed in data analytics
What do you like best about the product?
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.
KX is the de-facto technology for real-time analtyics.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
KX has enabled various research and analytics initiatives that lead to net business value.
Concise, efficient & powerful
What do you like best about the product?
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.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
Kx technologies enables the customisation of real time and historical analytics offering insights into the trading process. The language is efficient to write and run, allowing detailed analytics to run over large-scale datasets really quickly, enabling users to pivot their perspectives and really dig deep into the data, improve understanding of market microstructure, uncover trading patterns and identify optimisation opportunities.
A beautiful and powerful query language and database for structured data
What do you like best about the product?
Insane performance and elegant minimalist syntax. Ajing billions of rows in a few seconds is perfect for time series data analysis.
What do you dislike about the product?
Steep learning curve. Threat of writing overly terse and confusing"write only" code ever present.
What problems is the product solving and how is that benefiting you?
1. Constructing central limit order book(s) and market data from order flow.
2. Joining market data to client executions to calculate transaction cost analysis for a variety of algorithmic strategies.
3. Deriving easy to use static data tables for instruments and customers.
2. Joining market data to client executions to calculate transaction cost analysis for a variety of algorithmic strategies.
3. Deriving easy to use static data tables for instruments and customers.
Unlimited power
What do you like best about the product?
Q/Kdb+ is extremely fast in large databases processing. Its code is fast and clean and it is integrated into Python via PyKX.
What do you dislike about the product?
The setup can be a bit triky, but once yo have it installed there are not problems.
What problems is the product solving and how is that benefiting you?
Extremely speeds up database processing compared to its competitors without having to leave the Python environent.
showing 1 - 10