SISA Helps a FinTech Organization Optimize Elasticsearch Storage with Custom Compression

For a leading FinTech provider in the Middle East , rapid growth created a critical data hurdle: their legacy Elasticsearch infrastructure could no longer keep pace with expanding regulatory mandates. Facing excessive storage costs and a limited one-month searchable retention window , the organization struggled to meet PCI DSS and ISO 27001 requirements , leaving them vulnerable to compliance risks and operational blind spots. They needed a solution that delivered full visibility and real-time investigation capabilities without breaking the bank.

SISA stepped in with a custom-engineered solution designed to maximize efficiency without compromising accessibility. By implementing a specialized compression approach using Apache Parquet and integrating Trino servers , we enabled direct querying of compressed data without full decompression. This architecture introduced a smart “hot and cold” storage tiering model , boosting compression efficiency to 80% and ensuring that high-volume log data remained fully searchable for deep-dive forensic investigations.

The transformation was immediate and impactful. The organization achieved a massive 60% reduction in storage costs while extending searchable data retention to a full 12 months. With incident investigation speeds improving by 70% , the client now operates with a resilient, cost-effective security posture that satisfies strict global compliance standards and empowers their SOC analysts to detect stealthy attacks faster.

Read the full case study to discover how we solved this storage challenge.

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