Use Cases for Partners in Mission-Critical Sectors
GemDB is built for complex, high-volume environments where speed, resilience, and data flexibility are critical. Across financial services, government, manufacturing, insurance, and advanced technology, organizations use GemDB to simplify complex data relationships while maintaining fast, reliable transaction performance.
The following use cases demonstrate how GemDB supports mission-critical systems, accelerates product development, and reduces the operational complexity of traditional database architectures.
GemDB stores detailed, complex relationship data tied to individuals and their corresponding life insurance policies. GemDB customers use the database to quickly retrieve data, build regression models, and develop custom policies that fit their clients’ varied and unique needs.
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Large governments use GemDB to manage high volumes of immigration data. Stored as objects, records are quick and easy to access (despite the complexity of the data they hold).
Data points such as ingress and egress counts, personally identifying data, biometric details, and history can be stored as a single item, slashing complexity and the immense cost of relational mapping.
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Major tier-1 banks use GemDB to optimize their FX trading platforms: sub-millisecond resilience and ACID guarantees (under high concurrency) are critical to meeting workload expectations. Some of the many complex transaction types include:
- Spot
- Precious metals and platinum group metals
- Non-deliverable forwards
- Short-term interest rate instruments and options
- Algorithmic execution and smart order routing
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GemDB powers pricing and risk systems at global financial institutions. From basic interest rate swaps to complex rate exotics and hybrids, the GemDB database settles transactions with ACID guarantees, high speed, and minimal complexity.
The business case has always been speed to market for new structures/products. GemDB is estimated to be three times more productive than other databases. The application runs on a single global codebase with continuous build/integration and automated nightly regression tests.
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A major financial market-maker uses GemDB to test new products before they launch publicly. Using synthetic data in GemDB, this customer runs millions of transaction simulations before a product/tool is deemed ready for the market. This process helps to uncover edge-case errors and bugs, ensuring NPIs achieve 100% uptime.
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Chip-fab customers use GemDB to store complex yield transactions. With millions of historical outcomes stored as objects, algorithms can quickly query GemDB to find optimal cut paths to drive optimal yield.
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Large manufacturers use GemDB to build extensive databases that serve internal operations such as accounting, customer service, and sales. At the same time, client-facing apps pull from the central database to quickly retrieve account details and submit service requests. GemDB’s unified object persistence dramatically outpaces traditional multi-tiered stacks in similar application uses (presentation, application, relational store, caching layers).
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