Apr 15, 2020

Apache Druid for Anti-Money Laundering (AML) at DBS Bank

DBS is using Apache Druid to handle the AML investigation for the compliance team. The AML (anti-money laundering) workflow generates alerts which are tracked within Druid. The transactional data is ingested from RDBMS to S3 and ingested back to Druid at regular intervals. Investigators can now slice and dice over millions of data with low latency. Currently over 4 million transactions per day are recorded in Druid.

In addition to this, the following use cases are powered by Druid:

Real time dashboards from druid for the monitoring purpose. Druid also serves the aggregated data required for the Machine Learning modelling for AML module. Which no other data store provide similar performance results