Exasol
The World’s Most Powerful Analytics Engine
Summary
This document highlights the benefits and real-world impact of the Exasol Analytics Engine, an in-memory analytical database designed for high-speed analytics, BI, and AI workloads. It showcases drama...
Value Drivers
Challenges
- Slow query response times and long data load durations for analytics workloads.
- Lack of real-time visibility into operations
- Difficulty in scaling current infrastructure
- High operational costs due to legacy systems
- Poor data integration across departments
4 more challenges available
Solutions
- Implementation of Exasol Analytics Engine for in-memory processing and massively parallel processing (MPP) to accelerate complex queries and analytics workloads.
- Deployed real-time monitoring and analytics platform
- Migrated to cloud-based scalable infrastructure
2 more solutions available
Outcomes
- Query speeds improved up to 10x; data loads reduced from 26 to 4 hours; license & maintenance costs reduced by 65%.
- Achieved 24/7 real-time visibility and monitoring
- Successfully scaled operations to support 3x growth
- Decreased operational costs by 40% annually
- Improved data accuracy and accessibility by 85%
- Automated 70% of manual processes
5 more outcomes available
Products
Software
Exasol Analytics Engine
A high-performance, in-memory analytics engine designed for near real-time analytics, data warehousing, and AI/ML workloads.