Exasol is a high-performance data warehouse solution that accelerates BI and reporting features. Its speed, stability, and self-tuning queries make it valuable, and it doesn't require a database administrator. It's a backend database for Tableau dashboards, resulting in faster report loading times and increased efficiency in querying data.
Product | Market Share (%) |
---|---|
Exasol Data Warehouse | 1.1% |
SQL Server | 15.8% |
Oracle Database | 12.6% |
Other | 70.5% |
Type | Title | Date | |
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Category | Relational Databases Tools | Sep 18, 2025 | Download |
Product | Reviews, tips, and advice from real users | Sep 18, 2025 | Download |
Comparison | Exasol Data Warehouse vs SQL Server | Sep 18, 2025 | Download |
Comparison | Exasol Data Warehouse vs Oracle Database | Sep 18, 2025 | Download |
Comparison | Exasol Data Warehouse vs SAP HANA | Sep 18, 2025 | Download |
Title | Rating | Mindshare | Recommending | |
---|---|---|---|---|
SQL Server | 4.2 | 15.8% | 93% | 270 interviewsAdd to research |
Teradata | 4.1 | 4.8% | 87% | 76 interviewsAdd to research |
Exasol's high performance allows users to connect insights and fire queries instead of looking at cached dashboards. It has impressive aggregation capabilities that help calculate metrics on the fly based on user-selected filters.
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Author info | Rating | Review Summary |
---|---|---|
Manager - Projects at Cognizant | 4.5 | In our company, we use Exasol to store data across three countries, enhancing report performance in Tableau significantly. Despite limited resources for troubleshooting and compatibility with software like Python and R, Exasol offers high performance and low computation costs compared to SQL Server. |
Head Of Engineering Commercial Planning & Trading Data Platform at Zalando SE | 4.0 | We use Exasol as the backend for MicroStrategy reporting and ad-hoc analysis due to its impressive speed. However, it lacks cloud-native capabilities, causing downtime during maintenance, and struggles with many connections. We transitioned from Oracle because it couldn't handle intraday ETL and reporting simultaneously. |
Senior Consultant at Raiffeisen Software GmbH | 3.5 | Our primary focus is on development, offering Exasol to clients due to its user-friendly design and exceptional performance optimization. While more frequent updates and native Python support would be beneficial, it complements Microsoft SQL Server by enhancing responsiveness. |
Application Manager at A1 Telekom Austria | 4.0 | I use Exasol to enhance BI and reporting capabilities with its high processing speed. However, there's a need to improve its security features for MPP processing. I haven't considered other solutions, and there is no specific deployment or cloud provider mentioned. |
Senior Data Analyst at a comms service provider with 1,001-5,000 employees | 5.0 | I used Exasol to address data problems in Tableau by running reports efficiently. The standout feature is its speed and automatic index creation. However, using uppercase column names and finding drivers can be challenging. I haven't considered other solutions or providers. |
Digital Transformation Architect at Adage AB | 3.5 | Our experience with Exasol was good due to its impressive speed with high data volumes, surpassing SAP Hana. However, we opted for Snowflake instead, as it offered similar performance with more flexible role management and security features. |
Data Architect at a hospitality company with 1,001-5,000 employees | 4.0 | No summary available |
Senior Project Manager - Business Intelligence Corporate with 10,001+ employees | 3.5 | No summary available |