Exasol fits into your data landscape with easy integrations and BI compatibility.
MicroStrategy, IBM Cognos, Tableau, SAP BusinessObject, Yellowfin, SAS, and more.Learn more
JDBC (Java Database Connectivity), ODBC (Open Database Connectivity), ADO.NET, JSON on WebSockets, and MDX (MultiDimensional eXpressions).Learn more
Use Informatica Talend, Kafka, or Amazon Kinesis? No problem. Exasol uses common connection standards so you can transfer data from the source system.Learn more
Exaloader is designed to streamline ETL workloads by leveraging the in-memory, MPP engine.Learn more
UDFs allows data professionals with diverse skill sets to build ML/AI models without the need to learn Python and other programming languages.Learn more
So you can develop, train, test, and run models directly on Exasol's in-memory, MPP analytics engine and accelerate the entire ML/AI operations.Learn more
Exasol can be deployed on-premise or in any public cloud - AWS, GCP, and Azure - through seamless integrations and partnerships.Learn more
ExaCloud is a dedicated, bare metal system tailored to the needs of high-performance analytics — an affordable and scalable solution for your data.Learn more
Exasol security measures include multiple authentication methods such as LDAP, Password, and SSO. Data access is managed down to the row/column level.
We provide data encryption for data-at-rest and data-in-flight. You can audit sessions and execution command without any performance impact.
When deployed in a public cloud, Exasol leverages native security measures such as AWS IAM or Active Directory services, as well as built-in security features.
Exasol works with leading data security and privacy vendors such as Protegrity, Collibra, and SecuPi to deliver broader set of data protection and security policies.