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ScyllaDB NoSQL for
Financial Services

laptop screen showing dollar sign and building with pillars

Real-time Data Challenges in Banking, Finance and Investment Services

The FinTech revolution is intensifying competition across the financial services industry, driving companies to adopt digital-first, cloud-native architectures. As customers increasingly expect seamless, real-time user experiences, FinTech startups and financial service incumbents are adopting technologies that unlock the potential of NoSQL for financial transactions, and help them be more responsive to their customers.

Advantages of ScyllaDB NoSQL for
Financial Services

Real-time User Experience

Financial services applications perform in real-time at all times, supporting billions of data points, enabling superior customer experiences across online banking services and stock trading.

Predictable Performance at Scale

NoSQL databases for financial data allow for high throughput and predictable performance across large volumes of data for use cases such as customer 360, fraud detection and real-time analytics.

Cross-regional Data Replication

Cloud-native architecture supports cross-regional data replication with high availability and resilience for financial data, along with the freedom to deploy on a variety of hybrid topologies.

Lower TCO

NoSQL for FinTech minimizes operational overhead, DevOps-friendly automation, and significantly lower total cost of ownership for the competitive financial services market.

Financial Services NoSQL Use Cases

Mobile Payment

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Enable customers to instantly access and manage accounts, check balances, transfer funds, deposit checks, and more using NoSQL for financial transactions.

Portfolio Management

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Provide detailed portfolio information to investors, manage funds allocations, and provide planning tools such as intelligent investment recommendation engines.

Credit Scoring

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Leverage hybrid operational and analytics workloads to power real-time decision-making processes for credit applications.

Fraud Detection

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Identify and prevent fraudulent transactions and suspicious activity with real-time analytics and pattern detection.

Distributed Ledger

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Rely on a high-performance, geographically replicated persistence layer for distributed ledger solutions.

Financial Services NoSQL Case Studies

Santander Brazil specializes in commercial banking, mortgages, cards, personal loans, and portfolio management services. Santander leveraged ScyllaDB to move off a mainframe application, enabling development of a mobile banking app that supports 9,000,000 customers.
Experian collects and aggregates information on over 1 billion people and businesses, including 235 million individual U.S. consumers and more than 25 million U.S. businesses. Experian is using ScyllaDB to run fraud detection and real-time analytics.
The IOTA Foundation overcomes the cost and scalability limitations of blockchain, providing a network for exchanging value and data between humans and machines. ScyllaDB acts as the persistence layer underpinning the IOTA cryptocurrency’s distributed acyclic graph (DAG), known as the Tangle.
Tech Talk
TSB Banking Group is a traditional financial services provider, with offerings for personal and small business customers in the United Kingdom. TSB trusts ScyllaDB to serve as a backend for their banking applications.
PicPay, the Brazilian mobile payments company, relies on ScyllaDB to run a recommendation engine with SLAs below 300 microseconds, while also managing profiles for 14,000,000 customers.
Oportun has helped more than 870,000 people without a FICO score begin establishing a credit history. Oportun’s advanced data analytics leverage ScyllaDB to determine credit applicants' ability to repay.
Crypto.com’s mission is to accelerate the world's transition to cryptocurrency, providing a payment and cryptocurrency platform that empowers users to buy, sell, and pay with crypto. Crypto.com uses ScyllaDB as a database for their blockchain ledger solution for real-time trading.
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