Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
High-Performance Data Stores for Markets: Applied Techniques with kdb+ and ClickHouse

High-Performance Data Stores for Markets: Applied Techniques with kdb+ and ClickHouse

Trex, Thomas V.

Paperback

Series: Trading System Architecture & Devops

Investing & FinancePersonal Finance

ISBN13: 9798896652267
Publisher: Nobletrex Press
Published: Nov 29 2025
Pages: 638
Weight: 1.85
Height: 1.28 Width: 6.00 Depth: 9.00
Language: English

High-Performance Data Stores for Markets: Applied Techniques with kdb+ and ClickHouse

Modern electronic markets generate torrents of time-sensitive data, and the firms that can store, query, and interpret that data fastest gain a decisive edge. This book is written for quantitative developers, data engineers, and trading technologists who need to build and operate serious market data platforms-not experiments. It speaks equally to kdb+ veterans looking to adopt ClickHouse and to engineers from the broader data ecosystem who must meet sub-millisecond SLAs for market analytics.

Through a carefully layered progression, the book connects low-level systems foundations-Linux I/O, CPU caches, NUMA, and networking-to columnar database design, ingestion pipelines, and temporal analytics. You will learn how to model market microstructure data, implement reliable tick and order-book feeds, and exploit the strengths of both kdb+ and ClickHouse: from q idioms, as-of joins, and kdb+tick, to MergeTree engines, materialized views, and distributed SQL. Along the way, you will develop a rigorous performance-engineering toolkit, covering benchmarking, profiling, observability, and capacity planning, and you will apply this knowledge to concrete use cases such as limit-order-book analytics, TCA, backtesting, and real-time risk.

The material assumes solid experience with Linux, at least one programming language, and basic SQL, but no prior exposure to kdb+ or ClickHouse. Emphasizing practical patterns over vendor marketing, it offers implementation-ready architectures, operational playbook

Also from

Trex, Thomas V.

View All

Also in

Investing & Finance

View All