The World’s Most Powerful Analytics Engine
Run your most demanding analytics, BI, and AI workloads with Exasol’s high-performance Analytics Engine, delivering unmatched speed, flexibility, and total cost efficiency.
What is Exasol Analytics Engine?
Exasol Analytics Engine is a high-performance, in-memory engine designed for near real-time analytics, data warehousing, and AI/ML workloads. It leverages a massively parallel processing (MPP) architecture to execute complex queries with unmatched speed and price/performance ratio.
Why Exasol?
Lightning-Fast Queries
In-memory processing & MPP architecture for near real-time analytics.
Cost-Optimized Performance
Reduce compute costs with efficient workload handling.
Seamless Hybrid & On-Prem Deployment
Scale across on-prem or hybrid without trade-offs.
AI & ML Execution
Run models directly in Exasol for high-speed AI-driven analytics.
Minimal Administration
Eliminate manual tuning and automate indexing with a self-tuning engine.
Exasol works how you want
on-prem or hybrid.
Exasol’s Core Capabilities
Unmatched Performance
10x to 1000x faster queries with in-memory computing.
Cost-Efficient Scaling
Reduce TCO by up to 65% with an optimized architecture.
Seamless Integration
Works with Tableau, Power BI, dbt, Spark, TensorFlow & more.
Hybrid & On-Prem Ready
Deploy on AWS, Azure, GCP, Kubernetes, or on-prem.
AI & ML Execution
Train & run Python, R, and Java models directly in Exasol.
High-Concurrency & Enterprise Scalability
Process large-scale queries and concurrent workloads without slowdowns.
How Exasol Powers Your Analytics
Whatever your data challenge, Exasol provides the speed, scalability, and flexibility you need.
Built for Speed and Scale
Data Warehouse
Power business intelligence, reporting, and large-scale analytics with Exasol’s high-speed, in-memory data warehouse—built for the demands of modern data teams.
For CTOs & Heads of Data and Analytics
- Faster Insights, Smarter Decisions
Handle complex queries at scale with ultra-fast in-memory processing. - Seamless Scalability
Scale horizontally and vertically across on-prem or hybrid without performance trade-offs. - Optimized Cost & Performance
Reduce compute costs with high compression, intelligent caching, and optimized storage.
For Data Engineers & Architects
- Massively Parallel Processing (MPP)
Execute complex SQL analytics across distributed nodes with near zero latency. - Hybrid & Multi-Cloud Flexibility
Deploy Exasol anywhere—AWS, Azure, GCP, Kubernetes, or on-prem. - Seamless Integration
Works with Tableau, Power BI, dbt, Python, Spark, and more—no re-platforming required.
Supercharge Your Insights
Analytics Accelerator
Supercharge your analytics stack without costly re-platforming. Exasol boosts BI tools and query performance for near real-time insights.
For CTOs & Heads of Data and Analytics
- Boost Performance Instantly
Eliminate slow queries and reduce time-to-insight with in-memory acceleration. - Enhance Your BI Stack
Supercharge tools like Tableau, Power BI, and Looker for faster dashboards and reporting. - No Disruptions, No Re-Engineering
Improve analytics performance without costly infrastructure changes.
For Data Engineers & Architects
- Works with Your Existing Stack
Integrates seamlessly with on-prem and hybrid architectures. - Query Optimization & Intelligent Caching
Speed up heavy workloads with adaptive query acceleration. - Plug & Play Acceleration
Deploy Exasol between your data sources and BI tools for an instant performance boost.
In-Database Machine Learning at Scale
AI & ML Execution
Run AI/ML models directly within Exasol to eliminate data movement, reduce latency, and accelerate model execution. From feature engineering to real-time predictions, Exasol seamlessly integrates AI and analytics at scale.
For CTOs & Heads of Data and Analytics
- Faster AI, Smarter Decisions
Run machine learning models closer to your data for real-time insights. - No Data Silos
Eliminate data transfers and reduce infrastructure complexity. - Cost-Efficient AI at Scale
Optimize compute resources without skyrocketing cloud costs.
For Data Scientists & ML Engineers
- In-Database Model Execution
Run Python, R, and Java ML models directly in Exasol. - Accelerated Feature Engineering
Use SQL and in-memory processing to transform data faster. - Seamless AI/ML Integration
Connect with TensorFlow, PyTorch, Spark ML, and cloud AI services.
Trusted by Leading Data-Driven Companies
From fast-growing startups to global enterprises, companies rely on
Exasol to power high-performance analytics, business intelligence, and AI-driven insights.
Recognized by Industry Leaders
- McKnight Consulting Group – Outperformed Snowflake in query response times and price/performance ratio.
- Cloud & Technology Partnerships – Works seamlessly with AWS, Azure, GCP, and leading BI & AI platforms.
- Enterprise-Grade Security – Trusted by finance, healthcare, and Fortune 500 companies for secure, compliant data analytics.
Real-World Impact: Exasol in Action
Leading companies across finance, healthcare, retail, and technology trust Exasol to power faster analytics, seamless AI integration, and cost-efficient scaling.
Query speeds improved up to 10x, data loads cut from 26 to 4 hours, and license & maintenance costs reduced by 65%—giving Helsana more agility and lower costs.
See the full story
Analytics 70% faster, zero downtime with Exasol’s “3+1” node setup, and overnight processing reduced from hours to minutes—freeing teams to focus on innovation, not maintenance.
See the full story
Complex queries now run in under 2 seconds, real-time refresh every 15 minutes, and 100% system uptime—ensuring reliable, always-fresh analytics.
See the full story
Query times reduced from minutes to seconds, improving customer support speed and employee productivity with Exasol’s scalable on-premises solution.
See the full story
Insights updated every 15 minutes, optimized staffing & scheduling, and enhanced customer experiences across 500 screens in 12 countries.
See the full storyWhat Our Customers Say
Experience the Speed
Try Exasol for free and experience unmatched analytics speed, cost efficiency, and flexibility.
