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Fintech / embedded financeSourced

Case Study: How Ant Money cut TCO 90% moving from PostgreSQL to SingleStore

Ant Money Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
Ant Money
Industry
Fintech / embedded finance
Challenge
A PostgreSQL system couldn't keep pace with rapid growth or real-time analytics.
Headline result
90% lower TCO and 20-100x performance vs. PostgreSQL

Key results

90%
Lower total cost of ownership
20-100x
Performance boost
vs. PostgreSQL
60x
Better data freshness & performance
50x
More actionable data

The challenge

Ant Money's PostgreSQL-based system could not keep pace with aggressive user and revenue growth. It suffered slow queries, a 24-hour data refresh lag, and write-performance constraints, and was not suited to real-time analytics.

The solution

Ant Money adopted SingleStore Helios as its core data platform for both transactional and analytical workloads, replacing PostgreSQL and implementing streaming data pipelines ingesting from multiple sources.

The results, in context

Ant Money reports a 90% reduction in total cost of ownership and a 20-100x performance boost after migrating from PostgreSQL to SingleStore Helios. It also cites a 60x improvement in data freshness and performance and a 50x increase in actionable data.

Products used

SingleStore SingleStore Helios