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Continuous Analytics Technology
Truviso’s Continuous Analytics is revolutionary data processing technology that
delivers real-time results on massive data volumes, leveraging low-cost commodity
hardware. Truviso uses industry-standard SQL with extensible schemas, enabling
easy data integration and multi-channel analytics.
Proven in some of the most demanding production environments, Continuous Analytics
is ideal for use in enterprise software solutions and distributed appliances.
Proven & Production-Ready
- High Availability & Failover
- Cluster Scalability
- Multi-Core Processing
- Online Backup and Restore
- Dataset Transactional Consistency
- Rolling Data Management & Grooming
Comparison of Batch Processing with Stream-Relational ProcessingX Close
Comparison of Batch Processing with Stream-Relational Processing
The result is Continuous Analytics: massively scalable software that processes and queries data before it’s stored, providing immediately updated analytics and alerts as soon as data becomes available. Continuous Analytics completely eliminates the batch processing lag times and report wait times associated with data warehouses and data marts - for true real-time analysis.
Truviso’s patent-pending technology has been developed and refined since it was conceived in 2001 to deliver amazing performance, reliability and scalability. The technology originated at the University of California at Berkeley’s renowned Computer Science department, and leverages the standard SQL language for queries and utilizes relational database constructs familiar to database engineers and administrators.
High Performance is an Understatement
Continuous Analytics was designed to operate in the most demanding hyper-performance environments – mountains of data, thousands of queries on live and stored data, and the need to process it all to extract actionable, timely insights.
The technology delivers a dramatic scalability advantage due to three key capabilities:
- Continual analysis enables a single Truviso instance to analyze upward of 500,000 data records per second, delivering a performance advantage several orders of magnitude greater than a traditional database.
- The Super Linear Scaling query optimizer can process thousands of concurrent queries in parallel and share results among them, offering unprecedented query processing response times – hundreds or thousands of queries, reports and end-users.
- High Cardinality Optimization enables non-additive unique user and unique page calculations to be performed in real-time, even over billions of unique values.
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Continuous Analytics Technology