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KX

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Last updated on

Company health

Employee growth
1% increase in the last year
Web traffic
9% decrease in the last quarter

Ratings

G2
4.8/5
(34)

KX description

KX provides kdb+, a very fast database specialized for analyzing large volumes of time-sensitive information, like financial market data. Companies use it to build applications that need to process and react to data in real-time. KX also offers KDB.AI, a database designed for incorporating elements like contextual search into AI applications. While powerful, KX products are generally aimed at larger companies with complex data needs, particularly in finance.


Who is KX best for

KX is a high-performance database solution ideal for large enterprises, especially in the financial sector, needing real-time insights from massive time-series datasets. Users praise its speed and powerful q language but note the steep learning curve and complex setup. KX excels at complex joins and data exploration, making it a valuable tool for businesses that prioritize speed and analytical depth.

  • Best for medium to large enterprises (101+ employees), particularly those with complex data needs.

  • Ideal for financial services, but applicable across industries dealing with high-volume time-series data.


KX features

Supported

KX uses historical data for predictive analysis and informed decision-making.

Supported

KX offers real-time data insights, enabling in-depth querying and analysis of complex data to extract valuable information.

Supported

KX leverages AI to analyze both structured and unstructured data contextually, providing a holistic understanding.

Supported

KX optimizes efficiency at scale by bringing analytics to the data itself, maximizing performance and resource use.

Supported

KX simplifies data access and analysis, enabling users to efficiently derive insights and make informed decisions.

Supported

KX enhances analytical processes by accelerating data access, leading to faster and more efficient data analysis.

Supported

KX improves data comprehension by providing real-time data insights, allowing for a more profound understanding of complex datasets.


KX reviews

We've summarised 35 KX reviews (KX TrustPilot reviews and KX G2 reviews) and summarised the main points below.

Pros of KX
  • Exceptional speed and performance, especially for time-series data.
  • Powerful and versatile q language for concise coding and rapid prototyping.
  • Seamless integration with Python using PyKX.
  • Excellent for complex joins, particularly window and asof joins.
  • Comprehensive data exploration capabilities within the q ecosystem, including Q-Studio.
Cons of KX
  • Difficult licensing and setup, especially for PyKX with its dual licensing model.
  • Non-demonstrative and frustrating debugging experience for KDB+ and PyKX.
  • Steep learning curve for the q language, making problem-solving time-consuming.
  • Limited documentation and a relatively small developer community.
  • Lack of clear pricing information readily available.

KX pricing

The commentary is based on 4 reviews from KX G2 reviews and KX TrustPilot reviews.

KX licensing and pricing information is not readily available and requires direct contact with the company. While some users mention setup and licensing management as difficult, others highlight KX's willingness to partner with customers.

Users sentiment

Strongly negative
-1

KX alternatives

  • Logo of StarTree
    StarTree
    Unlock instant insights from massive datasets, easily.
    Read more
  • Logo of Rockset
    Rockset
    Real-time analytics on any data, instantly. Build fast apps.
    Read more
  • Logo of SingleStore
    SingleStore
    Fast, unified database for real-time analytics and applications.
    Read more
  • Logo of ClickHouse
    ClickHouse
    Blazing-fast analytics database for massive datasets. Open-source.
    Read more
  • Logo of CrateDB
    CrateDB
    Scalable SQL database for machine data, logs, and time series.
    Read more
  • Logo of Shapelets
    Shapelets
    Find hidden data patterns faster for AI.
    Read more

KX FAQ

  • What is KX and what does KX do?

    KX offers kdb+, a high-speed database for analyzing large volumes of time-sensitive data, and KDB.AI, a database enhancing AI applications with features like contextual search. KX solutions are designed for large enterprises with complex data needs, especially in the financial industry, enabling real-time data processing and insights.

  • How does KX integrate with other tools?

    KX integrates seamlessly with Python through its PyKX interface. It also offers integrations for various data visualization and business intelligence tools, enabling comprehensive data analysis and reporting. However, users note some difficulties with PyKX's dual licensing model.

  • What the main competitors of KX?

    Top KX competitors include StarTree, Rockset, SingleStore, ClickHouse, CrateDB, and Shapelets. These alternatives offer similar real-time analytics capabilities for large datasets, often with a focus on easier implementation and broader applicability.

  • Is KX legit?

    KX is a legitimate company offering kdb+, a database specializing in high-volume, time-sensitive data analysis. G2 reviews rate it 4.8/5, praising its speed and powerful q language. However, potential users should be aware of the steep learning curve and complex setup.

  • How much does KX cost?

    I cannot find pricing information for KX. Contact KX directly to discuss pricing and determine if KX meets your needs and budget. Consider factors like KX's features and your company size when making your decision.

  • Is KX customer service good?

    KX's customer service receives mixed reviews. While some users appreciate the support across multiple channels and willingness to partner, others mention difficulty getting pricing information. Overall, the limited feedback makes it hard to definitively assess their customer service quality.


Reviewed by

MK
Michal Kaczor
CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

TT
Tymon Terlikiewicz
CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.