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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.
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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.
Speed, Scalable & Succinct
What do you like best about the product?
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.
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.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
Storing the trading data and providing analytics on the data. I have used it as a KDB developer in several investment banks. It certainly gave results real quick in comparison to all other databases for the same amount of data.
KX kdb is one software for computation storage and middleware one ever need in financial industry
What do you like best about the product?
Based on strong fundamentals of computer engineering needed for next generation applications
What do you dislike about the product?
Slow learning if your are coming from non functional language background
What problems is the product solving and how is that benefiting you?
Forex analytics
After 20 years of use I still think "wow, that was fast"
What do you like best about the product?
KDB core is extremely capable of capturing and processing large volumes of timeseries data. Even after 20 years, it still produces moments of "wow, that was fast". The documentation has improved dramatically, barrier to entry reduced and the community of developers/number of partners has grown as a result. With the appropriate skills and experience, the q language and KDB are hard to beat for elegant and efficient timeseries analysis.
What do you dislike about the product?
The open frameworks and ancillary services solve a lot of the common problems and improved APIs increase access to the underlying data, but the core product is still quite raw and protection from bad user queries is still limited.
What problems is the product solving and how is that benefiting you?
Capture and analysis of timeseries data to support and optimise systematic trading systems.
Excellent TSD for real time analytics and machine learning flows.
What do you like best about the product?
Extremely fast and reliable vector database!!
What do you dislike about the product?
It is still getting cloud ready with AWS, GCP and Azure. Most of use cases are in cloud now a days.
What problems is the product solving and how is that benefiting you?
Critical problems in Telecom and Automotive domains
The only real-time DB solution
What do you like best about the product?
Kdb+ is an excellent database management system that provides high performance and scalability. Essential for our real-time processing requirements and data management.
What do you dislike about the product?
Fairly niche technolgy, therfore a smaller q developer resource pool.
What problems is the product solving and how is that benefiting you?
Back testing, analysis and reporting.
User, partner and enthusiast
What do you like best about the product?
Completeness of the solution. Streaming analytics, data and analytics in memory and analysis of historical data on disk in a single solution is unique. KX can do everything another time series database can do but faster and more efficienctly - it also has unique temporal analytics capabilities others have never been able to replicate.
What do you dislike about the product?
The amount of times the user community has solved the same problems in marginally different ways. A managed cloud service on aws, open sourcing pykx and standardising kdb architect through kdb Insights are great steps forward to address this and allow builders to focus on outcomes rather than plumbing.
What problems is the product solving and how is that benefiting you?
Analysis of fast moving data with the benefit of historical context allowing faster decision making and greater insight for business processes.
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