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

Industry
Financial Services
Company Size
20+

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.

Demo the world’s fastest database for vector, time-series, and real-time analytics

Start your journey to becoming an AI-first enterprise with 100x* more performant data and MLOps pipelines.

  • Process data at unmatched speed and scale
  • Build high-performance data-driven applications
  • Turbocharge analytics tools in the cloud, on premise, or at the edge

*Based on time-series queries running in real-world use cases on customer environments.

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