Enterprise-Grade PostgreSQL for FinTechs
Fast, Reliable, Secure, and Compliant
Card authorizations, digital wallets, risk engines, and settlement pipelines all depend on PostgreSQL behaving predictably every second.
Stormatics designs and operates PostgreSQL for FinTechs, digital banks, and financial platforms that need continuous availability, strong security, and architectures that stand up to regulatory scrutiny.
We focus on keeping your PostgreSQL stack highly available, performant, and audit ready so that your teams can ship features faster with confidence.
Want reliable, stress-free PostgreSQL at scale?
Why Financial Teams Choose Stormatics
- Architectures for up to 99.999% availability
- Multi-region failover
- Tested disaster recovery to ensure zero data loss during outage
- TDE, TLS, & validated backups
- Observability, RBAC, & auditable activity trails
- SOC2, PCI DSS, GDPR, & other compliance
- Tuning of indexes, queries, & contention
- Guidance on scaling read-heavy or write-critical workloads
- No more firefighting during customer spikes
- 24×7 SLA-backed helpdesk with escalation workflows
- Direct access to renowned PostgreSQL experts
- Incident response, cause analysis, & proactive monitoring
How We Work with FinTech Teams
Rapid PostgreSQL risk assessment
We start with a focused review of your existing PostgreSQL setup across availability, disaster recovery, performance, and compliance requirements.
Target architecture and migration plan
We design a PostgreSQL architecture that fits your regulatory, latency, and throughput needs, including multi-region HA, encryption, audit logging, and observability.
Implementation and cutover with drills
We implement the design, run DR and failover drills, and align runbooks with your operations and security teams. The goal is to keep services available while the platform evolves.
Ongoing DBA-as-a-Service
After go-live, we provide continuous PostgreSQL care: monitoring, performance tuning, regular checks of HA and DR readiness, and 24×7 Helpdesk.
Why PostgreSQL for Fintechs?
Customer Spotlight: Uptime and Compliance at Scale
A rapidly growing FinTech turned to Stormatics to migrate away from AWS RDS and meet strict regional compliance requirements without any disruption.
Stormatics delivered:
- Geographically distributed HA PostgreSQL cluster
- Transparent data encryption and disaster recovery across cities
- Migration to a secure and regulation-ready infrastructure
Frequently Asked Questions (FAQs)
Q. Why is PostgreSQL a good database for FinTech and FinServs?
PostgreSQL is ideal for FinTech and financial institutions because it offers enterprise-level reliability, security, and performance without vendor lock-in. It supports ACID transactions, auditability, encryption, and role-based access, all essential for compliance-heavy environments.
Q. Is PostgreSQL being used by FinTechs or enterprises in the financial industry?
Absolutely. PostgreSQL is trusted by some of the most prominent names in finance and FinTech, including Goldman Sachs, Morgan Stanley, American Express, Mastercard, Wise, Coinbase, and Revolut. These organizations rely on PostgreSQL for everything from real-time transaction processing and fraud detection to analytics and customer data platforms. Its open-source nature, strong reliability, and ability to meet stringent compliance and uptime requirements make it a natural fit for financial systems.
Q. Can financial institutions meet compliance requirements using PostgreSQL?
Yes. Stormatics helps FinTechs and financial service providers meet compliance requirements like SOC2, PCI DSS, and GDPR by designing PostgreSQL environments with built-in audit logs, secure backups, access controls, and encryption protocols tailored to regulatory standards.
Q. Can PostgreSQL handle high transaction volumes in financial systems?
Yes. PostgreSQL is built to handle high-volume transactional workloads, including real-time payments, fraud detection, and large-scale reporting. Stormatics optimizes PostgreSQL for throughput, latency, and resource usage in production financial environments.
Q.What are the best practices for securing sensitive data in PostgreSQL?
To secure sensitive data in PostgreSQL, use Transparent Data Encryption (TDE), role-based access control (RBAC), SSL connections, and secure key management. Stormatics configures these systems and integrates tools like HashiCorp Vault for enterprise-grade data protection.
Related Resources
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