Sold by: EXASOL AG
Deployed on AWS
An AWS Glue connector for accessing Exasol database
4.7
Overview
An AWS Glue Studio connector for accessing Exasol database. You can use it to perform read or write operations to Exasol database from AWS Glue Studio.
Highlights
- Supports reading, writing, column projection and predicate pushdown
Details
Sold by
Delivery method
Supported services
Delivery option
Activate in AWS Glue Studio
Latest version
Operating system
Linux
Deployed on AWS
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Pricing
This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
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Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
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Delivery details
Activate in AWS Glue Studio
Supported services: Learn more
- Amazon ECS
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
Exasol AWS Glue Connector 2.0.0, released 2023-03-08
Code name: AWS Glue Version 4.0.0
Summary
In this release we updated support for the latest AWS Glue Studio 4.0.0 release.
It supports the Spark 3.3.0 and Python 3.10 versions. Here are some notable improvements:
- Many Spark functionality upgrades from Spark 3.1 to Spark 3.3
- Log4j 2 migration from Log4j 1.x
- Several Python module updates from AWS Glue 3.0, such as an upgraded version of Boto
- Native support for open-data lake frameworks with Apache Hudi, Delta Lake, and Apache Iceberg
- Native support for the Amazon S3-based Cloud Shuffle Storage Plugin (an Apache Spark plugin) to use Amazon S3 for shuffling and elastic storage capacity
You can read more about the changes on the release notes .
Refactorings
- #66: Updated to AWS Glue version 4.0.0
- #64: Updated dependencies and removed references to maven.exasol.com repository
Dependency Updates
Compile Dependency Updates
- Updated com.exasol:exasol-jdbc:7.1.11 to 7.1.17
- Added com.fasterxml.woodstox:woodstox-core:6.5.0
- Updated software.amazon.awssdk:s3:2.18.4 to 2.20.19
Test Dependency Updates
- Updated com.amazonaws:AWSGlueETL:3.0.0 to 4.0.0
- Updated com.amazonaws:aws-java-sdk-s3:1.12.329 to 1.12.422
- Updated com.exasol:exasol-testcontainers:6.3.0 to 6.5.1
- Updated com.exasol:java-util-logging-testing:2.0.2 to 2.0.3
- Updated com.exasol:test-db-builder-java:3.4.1 to 3.4.2
- Removed log4j:log4j:1.2.17
- Updated nl.jqno.equalsverifier:equalsverifier:3.10.1 to 3.14
- Added org.apache.logging.log4j:log4j-api:2.20.0
- Added org.apache.logging.log4j:log4j-core:2.20.0
- Updated org.junit.jupiter:junit-jupiter-api:5.9.1 to 5.9.2
- Updated org.junit.jupiter:junit-jupiter:5.9.1 to 5.9.2
- Updated org.mockito:mockito-core:4.8.1 to 5.1.1
- Updated org.mockito:mockito-junit-jupiter:4.8.1 to 5.1.1
- Updated org.testcontainers:junit-jupiter:1.17.5 to 1.17.6
- Updated org.testcontainers:localstack:1.17.5 to 1.17.6
Plugin Dependency Updates
- Updated com.exasol:error-code-crawler-maven-plugin:1.1.2 to 1.2.2
- Updated com.exasol:project-keeper-maven-plugin:2.8.0 to 2.9.3
- Updated io.github.zlika:reproducible-build-maven-plugin:0.15 to 0.16
- Updated org.apache.maven.plugins:maven-assembly-plugin:3.3.0 to 3.4.2
- Updated org.apache.maven.plugins:maven-failsafe-plugin:3.0.0-M5 to 3.0.0-M8
- Updated org.apache.maven.plugins:maven-jar-plugin:3.2.2 to 3.3.0
- Updated org.apache.maven.plugins:maven-shade-plugin:3.4.0 to 3.4.1
- Updated org.apache.maven.plugins:maven-surefire-plugin:3.0.0-M5 to 3.0.0-M8
- Updated org.codehaus.mojo:flatten-maven-plugin:1.2.7 to 1.3.0
- Updated org.codehaus.mojo:versions-maven-plugin:2.10.0 to 2.14.2
Additional details
Usage instructions
Please subscribe to the product from AWS Marketplace and Activate the Glue connector from AWS Glue Studio
Support
Vendor support
Please let us know by opening support ticket at https://www.exasol.com/support Or by opening Github issue at project repository
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Khadeejah E.
Scalable, Best-in-Class Database for Data Warehousing
Reviewed on Mar 12, 2026
Review provided by G2
What do you like best about the product?
Scalable, the best database to use for a data warehouse
What do you dislike about the product?
The installation process is a bit complicated
What problems is the product solving and how is that benefiting you?
It works great for clients with larger data warehouse requirements
Financial Services
Outstanding Performance, Support, and Open Interfaces
Reviewed on Mar 11, 2026
Review provided by G2
What do you like best about the product?
Performance
Support
Open Interfaces
Less Administration Work
Support
Open Interfaces
Less Administration Work
What do you dislike about the product?
Nothing
I really can not say any bad over Exasol
I really can not say any bad over Exasol
What problems is the product solving and how is that benefiting you?
It solves to analyse a huge amount of data from different sources in a very short time.
Juraj S.
Unparalleled Speed for Responsive Reporting
Reviewed on Mar 11, 2026
Review provided by G2
What do you like best about the product?
Unparalleled speed...what took minutes now takes seconds. Invaluable for building responsive reporting
What do you dislike about the product?
I cannot think of anything at this moment, it does its job very well
What problems is the product solving and how is that benefiting you?
Speeding up queries.
Verified User in Computer & Network Security
Fast, Powerful Analytical Tool
Reviewed on Mar 10, 2026
Review provided by G2
What do you like best about the product?
AI Integration: The AI Lab and UDF (User Defined Functions) let you run Python, R, or Java scripts directly within the database, so you can execute machine learning models right where the data lives.
What do you dislike about the product?
Smaller Ecosystem/Community: Compared to giants like Snowflake or Databricks, the community is smaller. This can mean fewer third-party integrations and a smaller pool of pre-built "connectors" for niche SaaS tools.
What problems is the product solving and how is that benefiting you?
It tackles the tension between data democratisation and security. With their new MCP (Model Context Protocol) server, we can allow AI agents and non-technical users to query the database in natural language without granting direct SQL access. That creates a read-only safety layer that helps prevent accidental data deletion, while still giving the business the real-time insights it needs.
Thomas M.
High-Performance Data Analytics with Stellar Support
Reviewed on Mar 10, 2026
Review provided by G2
What do you like best about the product?
I like the high-performance aspect of EXASOL for getting data for reports. I also appreciate the support and easy administration. The initial setup was easy, which was great.
What do you dislike about the product?
I dislike not being able to bring in reserve nodes without downtime.
What problems is the product solving and how is that benefiting you?
I use EXASOL for high-performance data analytics, which helps in getting data for reports efficiently. The support and easy administration are aspects I appreciate.