easy-to-use streaming analytics for banking & finance

Combine raw data (financial transaction monitoring, market activity, online trading, network data, social media) and stored data (call logs, credit card history, demographics, performance reports) to prevent fraud, increase customer acquisition and retention, detect and predict security threats in real-time, maintain compliance requirements, and eliminate costly network failures.

WEBINAR RECORDING

On 2/13, DataRobot and SQLstream built and evaluated new machine learning models from DataRobot and deployed them within the SQLstream Blaze streaming analytics engine—proving that fraud can be prevented as it happened, rather than after the fact. 

Got  more questions? GET IN TOUCH

how it works

SQLstream wrangles, analyzes, and acts upon  data in real time

 

SQLstream transforms log and other machine data into real-time security intelligence. Where traditional SIEM and log monitoring tools fail, SQLstream manages with ease the increase in data volume and velocity coupled with more sophisticated known and unknown threat detection scenarios.

  

Identify

complex time-sensitive and multi-location patterns by joining and correlating data streams from any number different types and sources.

Add

geospatial and movement analysis for identifying location-based patterns.

 Scale

dynamically for continuous analysis over high volume, high velocity, structured and unstructured data.

Benefit

from ease of development: SQLstream is easy to extend for different scenarios and more complex analytics, offering instant productivity with no hidden future obstacles.     

RELATED RESOURCES

Cybersecurity and the Internet of Things: From Incident Response to Continuous Response
WEBINAR RECORDING
Streaming analytics for cybersecurity keeps safe 600+ banks and 10M+ users
WEBINAR RECORDING

READY TO GIVE IT A TRY? 

SQLstream Blaze is free to download and use up to 1GB/day (after which it throttles).