Fintech company achieves 10x performance at 20% of the cost with KX

Key Takeaways

  1. Saved 75% of the costs compared to the previous solution
  2. Fully interoperable with APIs for Python, R, C
  3. Allows use of storage like S3 instead of expensive SSDs

This fintech start-up was created in 2016 with the vision to create an industry standard for FX TCA, a rigorous pre-trade and post-trade analysis.

Acquired in 2018, the company’s fintech solution was expanded into the parent company’s existing analytics and enabling it to deliver a multi-asset TCA platform.

The challenge

To search for the best database for its new fintech system. The requirements included having to be flexible, interoperable, backed by a powerful query language, utilize cheaper storage, and be fast.

Why KX?

The CTO evaluated a popular document store, a fully managed time-series database, a key value store, a data warehouse, a popular database with extensive querying capabilities, and a distributed database.

The KX database matched his needs perfectly and integrated well with the company’s systems, was manageable, highly performant and cost effective, delivering a 75% cost saving.

Explore how KX is optimizing trading, risk analytics, and decision-making for financial services organizations.

Accelerate your journey to AI-driven innovation with a tailored KX demo.

Our team can help you to:

  • Designed for streaming, real-time, and historical data
  • Enterprise scale, resilience, integration, and analytics
  • An extensive suite of developer language integrations

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Recognized by G2 as a ‘Momentum Leader’ for time series databases, and stream analytics, as ‘Leader’ for time series Intelligence, and as ‘High Performer’ for columnar databases—KX is driving innovation in real-time data analytics.

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