Exasol is an in-memory, high-performance analytics database designed for rapid data processing and analysis. It enables businesses to perform complex queries and analytics on large datasets efficiently, supporting real-time decision-making and business intelligence operations.
Top 5*
Business Intelligence
About Exasol
Exasol was created in 2000 to address the need for faster data processing and analytics. The company aimed to develop a high-performance database that could handle large datasets efficiently, enabling businesses to make real-time decisions based on complex data analysis.
Exasol's strengths include high performance, scalability, and efficient in-memory processing. Its weaknesses are a smaller user community and potential higher costs compared to some alternatives. Competitors include Snowflake, Amazon Redshift, and Google BigQuery.
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How to hire a Exasol expert
An Exasol expert must have skills in SQL, database optimization, in-memory computing, and data modeling. Proficiency in ETL processes, performance tuning, and experience with BI tools like Tableau or Power BI is also essential.
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 224K
Employer Cost
$ 127K
Employer Cost
$ 97K
Benefits + Taxes + Fees
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