- Industry
- Financial Services
- Company Size
- 20+
Key Takeaways
- Saved 75% of the costs compared to the previous solution
- Fully interoperable with APIs for Python, R, C
- 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.
