The payment processing company handled high transaction volumes while facing fraud risks and delays in legitimate transactions.
High processing loads and delayed data availability affected transaction efficiency and the overall user experience.
Transaction processing took 2–3 seconds despite handling high transaction volumes.
The platform processed more than 1,000 transactions every second.
Daily transaction volumes exceeded 4 million transactions.
Delays in legitimate transaction processing affected the user experience.
The business required timely transaction data for faster decision-making.
Real-Time Data Replication for Transaction Processing
Team Computers implemented real-time data replication to improve transaction decision-making and processing efficiency.
Replicated data from the Oracle Gateway database into Kafka in real time.
Enabled timely transaction data availability for faster decision-making.
Supported processing of more legitimate transactions to drive revenue growth.
Reduced costs by helping prevent more fraudulent transactions.
Improving transaction efficiency through real-time data replication and fraud prevention.
Supported high-volume transaction processing with real-time data availability.
Enabled efficient processing across millions of daily transactions.
Supported timely transaction decisions while minimizing processing delays.
Enabled more legitimate transactions to be processed successfully.
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