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TIME SERIES DATA [KX] kdb+/X

THE LARGEST KDB+/X CONSULTANCY

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Data Intellect specialises in designing, building, and supporting high-performance time-series data platforms using kdb+ and related technologies.

Time series data presents unique technical challenges, particularly within capital markets, where systems must ingest, process and analyse extremely high volumes of data at speed. The value of time series insights is time-sensitive, and delays in capture, processing or analytics directly impact trading, risk and surveillance outcomes.

We work across the entire time series data pipeline, from acquisition and storage through to analytics and visualisation. Our expertise in kdb+ / kdb-x allows us to design systems that handle both the volume and velocity required by modern trading and analytics environments.

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WHAT WE DELIVER.

Solutions Delivery

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We provision specialist project teams to deliver time series data solutions using kdb+, from proof-of-concept through to full production systems. Our teams support the capture, management, processing and visualisation of time series data for capital markets use cases, including trading systems, market data platforms and analytical workloads.

Development & Support Resources

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We provide experienced kdb+ developers and time series data specialists to support high-demand client teams. These resources integrate directly into existing trading and analytics environments, offering practical expertise in kdb+ system development, optimisation and ongoing support for time series data platforms.

Managed Services

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Our managed services offer end-to-end ownership of time series data platforms built on kdb+ We independently advise, design, deliver and maintain kdb+ systems using follow-the-sun support models, ensuring performance, resilience and scalability for time-critical capital markets workloads.

Architecture & Technology Reviews

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Our subject matter experts assess existing time series data architectures and kdb+ platforms to identify opportunities for improvement. Reviews may include, but are not limited to:
  • Optimisation of kdb+ time series data models
  • Recommendations on alternative or complementary time series technologies
  • Hardware and infrastructure profiling
  • Performance tuning for high-volume trading data
  • Scalability improvements for increased data velocity
  • Security, access control and data governance
  • Cloud readiness and architecture design
  • Technology upgrades and system modernisation
  • Application build, deployment and monitoring processes

Data Expertise

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We provide advisory services across ETL, data cleansing, analytics and presentation for time series data. This includes working with high-frequency trading data, historical datasets and real-time streams within kdb+ environments, ensuring data quality and analytical accuracy.

Maturity Health Check

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Our time series data maturity health check evaluates your current kdb+ landscape, identifying bottlenecks and performance issues. The outcome is a clear set of recommendations to optimise your time series data platform for throughput, reliability and long-term scalability.

Training

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We deliver customised kdb+ training focused on real-world time series data use cases. Training is available online, on-site or via remote classroom delivery, supporting both development teams and analytical users working with kdb+ in production environments.

KDB+/X TRAINING

KDB+ Training

Data Intellect delivers specialist kdb+/X training for teams working in trading, market data, analytics, surveillance and wider capital markets technology. Our training is designed for organisations and individuals who want practical, relevant learning from experts who work with kdb+ and kdb-x in real production environments.

Whether you need a custom classroom training programme, a virtual team session, or a self-paced online kdb+ course, we can help you build the right training path.

KDB+ Training

Our Accelerators

TorQ: kdb+ Framework

TorQ: kdb+ Framework

  • > TorQ vastly reduces the time-to-market of any kdb+ implementation.
  • > Its framework forms the basis of a production kdb+ system by implementing some core functionality and utilities on top of kdb+, allowing developers to concentrate on the application business logic.
  • > We have incorporated as many best practices as possible, with particular focus on performance, process management, diagnostic information, maintainability and extensibility.
  • > TorQ incorporates a suite of processes which are required in the majority of kdb+ environments.
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DIVE: kdb+ Data Quality

DIVE: kdb+ Data Quality

  • > Native Speed: Validations run directly in kdb+, delivering performance up to 100x faster than Python-based alternatives.
  • > No More Data Conversion: DIVE works with your data as it is, eliminating the cost and risk of reformatting.
  • > Flexible Rule Construction: Build validation rules using an accessible “building blocks” approach.
  • > Full Extensibility: Add new validation types, models, and metrics via configuration — no need to wait for product updates.
DIVE Full Details

Let’s Talk About Your Time Series Data Challenges

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If you’re managing high-volume, high-velocity time series data in a capital markets environment, we can help.

Whether you need support with kdb+ architecture, platform optimisation, development resources, managed services or training, our specialists will work with you to understand your requirements and identify the right approach.

Get in touch to discuss your time series data challenges and how Data Intellect can support your kdb+ platform.

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