MemSQL is built for Financial Services
High-net-worth investors have large portfolios with hundreds to thousands of positions. The performance of MemSQL allows sub-second refresh of a dashboard with real-time data, including multiple tables and charts, even for large portfolios.
This provides first-class service for these clients. This in turn drives up their satisfaction, improves customer retention and facilitates portfolio growth. And that yields improved profits and growth for MemSQL customers.
Low Latency Queries
Interactive query response time through scale out and compilation
Scalable User Concurrency
Scale-out for growing user concurrency with industry-standard hardware
Broad tool support through industry-standard SQL and connectivity APIs
Fast Reliable Dashboards
Uninhibited portfolio exploration due to near-instant screen refresh on fast changing data
Linear scalability with no code changes to address changing workloads and user access
Eliminated ETL processing for real-time insight on the latest data positions and transactions
“We went from a cycle of data refreshing that essentially went around the clock to just an hour or two at night. Now we can actually scale as we bring on new clients.”
Robert Stepeck, CTO Novus Partners
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Portfolio managers work with hedge funds, sovereign wealth funds, endowments, bond management institutions, or investment banks. They manage up to tens of thousands of positions. Their satisfaction with their analytical applications rises as its response time drops to sub-second.
Analytics applications built on MemSQL allow them to investigate investment alternatives seamlessly without troublesome pauses. This allows them to make better investment decisions, giving a return on investment to their institutions that easily justifies the purchase of MemSQL.
Vectorized and compiled query performance deliver reliable sub-second response
Deliver performance as user concurrency grows on industry-standard hardware
Discover insights on fast changing data with real-time ingestion
Sub-second interactive response allows more thorough analysis to discover and act without delays
Run more analytical scenarios per day across fresh and historical data to uncover new opportunities
Fresh Accurate Insights
Real-time data provides SQL access to the most accurate customer view
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Increased regulations after the financial crisis, including the Dodd-Frank Act and Basel III, as well as self-interested vigilance against excessive risk, have caused major financial institutions to carefully study and track their risk profile.
Institutions want to track risk measures for their own portfolios, trading departments, funds they offer, and individual client portfolios, in real time. Customers have built MemSQL solutions to track portfolio risk using high speed joins of position risk, index and fund composition, and risk factors.
Accurate Risk Calculations
Real-time data ingestion with SQL access ensures calculations are performed on latest events
Risk calculations performed in-database with SQL instead of hard-to-maintain application code
Drop-in compatibility using standard SQL, hardware, and interfaces provides seamless integration
Real-Time Pattern Recognition
Run pattern recognition queries on fast changing data to minimize compliance risk
Millisecond Query Response
Perform complex analysis with low latency queries for continuous identification of compliance exposure
On-Demand Risk Analysis
Perform on-demand risk analysis without impacting operational database systems for cost effective reporting
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In this era of global finance, vigilance against fraud is more important than ever. Our customers have successfully used MemSQL to build anti-fraud applications.
For example, in lending, extreme measures are required to prevent fraud where a loan officer authorizes credit to a friend or relative who is not a qualified borrower. MemSQL enables this application with fast distributed parallel SQL query capability and spatial data management.
Real-Time Threat Detection
Apply sophisticated threat detection queries on live data to identify threats in real time
Fast parallel query processing with vectorization and compilation delivers sub-second response
Fraud prevention logic runs in the database as standard SQL, reducing development time
Insider Threat Detection
Screen every potential loan interactively to detect and score possible insider fraud
Prevent damaging publicity, fines, and loan defaults with real-time analytics
Improved Customer Experience
Approve loan transactions on fresh accurate data to provide a superior customer experience