Case studies

Measured outcomes, not marketing claims

Every engagement below is documented with before/after KPIs, the stack we used and verified client feedback. Filter by technology to find work closest to your problem.

Published studies: 6
Tracked KPIs: 18
Technologies: 16

Showing 1 of 6 studies using PostgreSQL in Fintech

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FinEdge Capital · Fintech · India

Month-end close from three days to four hours with a distributed queue

Batch reconciliation scripts replaced with idempotent, partitioned workers on a distributed queue — with a regulator-ready audit trail for every ledger movement.

Month-end close

72 h4 h

Auto-matched transactions

61%96%

Node.js PostgreSQL Distributed Queue Redis Kafka Kubernetes

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