Fraud Detection and Prevention
Fraudulent activities in financial systems are becoming increasingly sophisticated, evolving rapidly to exploit system vulnerabilities. Institutions must analyze large volumes of diverse data in real time to detect anomalies, adapt to emerging threats, and minimize financial and reputational losses.
CrateDB empowers financial institutions to detect and prevent fraud in real time using advanced analytics, pattern recognition, hybrid search, and AI integration. Its SQL compatibility and document flexibility enable rapid adaptation to evolving fraud patterns, ensuring institutions remain ahead of threats.
By unifying structured data, unstructured logs, documents, and vector data, CrateDB provides a holistic view of potential fraud risks. Its edge capabilities support real-time model retraining and deployment, while intuitive dashboards and high-performance SQL enable seamless anomaly detection and querying of massive datasets.
Because staying one step ahead of fraud isn’t just important—it’s everything. CrateDB delivers the speed, flexibility, and intelligence financial institutions need to stop threats before they happen.
Cross-Silo Reporting
Capital markets often struggle with fragmented data spread across silos, making it challenging to gain a unified view of trading operations, risk management, and compliance. This limits transparency and slows down decision-making.
CrateDB breaks down organizational silos, enabling real-time cross-silo reporting for a unified view of operations. Its ability to handle high-concurrency queries ensures reliable insights across trading desks, risk teams, and compliance functions.
By integrating disparate datasets into one platform, CrateDB provides decision-makers with the transparency and agility needed for informed, real-time decisions.
Breaking down silos isn’t just about better reporting—it’s about transforming decisions. CrateDB unifies your data to unlock insights when they matter most: now.
Tick Data Capture and Analysis
CrateDB provides a scalable solution for capturing, storing, and analyzing tick data at scale. Its native time-series capabilities efficiently handle timestamped data, while its modern SQL engine supports time-based queries such as filtering, grouping, and aggregation.
CrateDB processes millions of events per second with millisecond latency, ensuring real-time insights for backtesting, trend analysis, and compliance.
Because when every tick matters, there’s no room for lag. CrateDB turns raw market data into real-time insights, delivering the edge financial institutions need to stay ahead.
CrateDB for Emerging Technical Trends
CrateDB is uniquely positioned to address emerging trends by providing a single view such a comprehensive 360° view of customer data and acting as a converged operational and analytics data store for real-time, AI-driven, and edge computing use cases.
- Real-time decision making with 360° data views: CrateDB consolidates structured, unstructured, and vector data into a unified platform, enabling real-time decisions. Businesses gain a holistic 360° view, essential for customer personalization, risk management, and operational efficiency.
- Generative AI with a unified data store: CrateDB simplifies Generative AI by combining real-time and historical data into one platform. This supports AI model training, hybrid search, and vector queries for applications like personalized customer interactions, real-time recommendations, and document automation.
- Edge computing for localized insights: CrateDB enables real-time data processing and analytics at the edge, reducing latency and powering use cases like fraud detection and dynamic pricing in branch or customer-facing environments.