A Modern Alternative to Legacy Data Warehouses
Exasol is used by enterprise analytics teams replacing or modernizing platforms such as Teradata and Oracle. It is designed for high-performance analytics, large data volumes, and demanding enterprise workloads.
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This Page is Relevant if You:
- Run analytics or reporting workloads on a legacy data warehouse
- Support large data volumes, many users, or demanding performance requirements
- Are exploring options to modernize or replace an existing analytics platform
This Page is Not Intended for:
- Academic research or student projects
- AI or machine learning experimentation platforms
- Small datasets or personal use cases
Why Legacy Data Warehouses are Holding Analytics Teams Back
Many enterprise analytics teams reach a point where their existing data warehouse becomes more of a constraint than an enabler.
- Performance degrades as data volumes and concurrency increase.
- Licensing and infrastructure costs rise year after year.
- Simple analytical queries take longer than the business can tolerate.
- Access to data remains limited to a small group of specialists.
As a result, analytics teams spend more time managing limitations than delivering insights.
A Modern Alternative Built for Enterprise Analytics
Exasol was built specifically for high performance analytics at scale.
It is used by organizations that want faster query response times, predictable performance under load, and a platform that fits into modern data architecture without unnecessary complexity. Teams choose Exasol when they need to move beyond legacy platforms and create an analytics environment that supports growth rather than restricting it.
What Analytics Teams Gain with Exasol
This is not about adding another general-purpose data platform.
It is about enabling analytics teams to work faster and more effectively.
Consistently fast analytics, even with many concurrent users
Lower total cost compared to traditional enterprise data warehouses
A platform designed for analytical workloads, not transactional compromises
Freedom from rigid licensing models and vendor lock-in
Designed to fit into Enterprise Data Environments
Exasol is designed to work within complex enterprise analytics landscapes.
Organizations use Exasol in different ways depending on their modernization strategy.
- Some replace legacy data warehouses entirely.
- Others introduce Exasol as a high-performance analytics layer alongside existing platforms to improve performance and reduce cost without immediate disruption, learn more about this approach.
This approach allows teams to modernize analytics incrementally, whether the goal is full replacement over time or targeted performance improvement without a large-scale rip-and-replace project. Exasol supports enterprise requirements around security, governance, and operational stability and integrates with common BI and analytics tools, see supported integrations.
Trusted by Enterprise Analytics Teams across the Globe
Verified outcomes our customers have realised:
Reporting time cut from 18 hours to minutes for Monsoon
Analytics speeds improved up to 10x and costs reduced for Helsana
Real-time self-service analytics with 1400% faster data processing for Digital Planet
Improved query performance by 70% reducing overnight processing times for MEDION
Talk to an Exasol Expert
If you are evaluating options to modernize or replace a legacy data warehouse, we would be happy to discuss your environment and requirements.