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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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) .
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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
Automotive
Fast, Easy Exasol Integeration - Ease of AI use cases
Reviewed on Mar 10, 2026
Review provided by G2
What do you like best about the product?
Fastest in memory db and it can be implemented easily with the c4 tool. In 15 minutes exasol db can be ready to go. License models also help costs management
What do you dislike about the product?
Using strong VMs with high cpu and memory costs a lot in large data.
What problems is the product solving and how is that benefiting you?
With AI&LM models we manage our costumer’s data. We’ve fasten their long running queries from hours to seconds.
Banking
Lightning-fast support and efficiency increase with EXASOL
Reviewed on Mar 10, 2026
Review provided by G2
What do you like best about the product?
I like the very good service at EXASOL, especially when there are problems. A new driver was provided with very high speed and efficiency. The team is very friendly and competent, both in sales, with EXASOL partners, and in support. After the initial performance issue, the solution with a new database driver made it possible to focus on technical problems. EXASOL just worked well.
What do you dislike about the product?
There are too few active partners available, which may lead to bottlenecks for consultants.
What problems is the product solving and how is that benefiting you?
I use EXASOL to manage our field service and sales network through sales statistics of insurance.
Consumer Services
Stable, Scalable In-Memory Analytics with Predictable On-Prem Costs
Reviewed on Mar 10, 2026
Review provided by G2
What do you like best about the product?
Very stable, scalable, in-memory analytical database. The cost is predictible and what is importnt in EU - it runs on the premise
What do you dislike about the product?
The size of the company and its related visibility
What problems is the product solving and how is that benefiting you?
We slove all analyticala and data integration challenges.
Björn B.
Light-Speed Performance and Superior Support
Reviewed on Mar 10, 2026
Review provided by G2
What do you like best about the product?
Exasol delivers light-speed performance, with the option for data sovereignty through hosting in Exasol’s own data center or in-house. Support has also been consistently excellent and stands out as a real strength.
It is easy to use, you can even execute a full-featured local playground version.
With the service by Exasol you get started blazingly fast.
It is easy to use, you can even execute a full-featured local playground version.
With the service by Exasol you get started blazingly fast.
What do you dislike about the product?
Performance and service come at a price.
What problems is the product solving and how is that benefiting you?
Working with big data is still a challenge. But Exasol is the ideal platform for big data data analytics as well as base for light-speed reporting solutions.
Ingo L.
Fastest Database | Onpremise/SaaS/Hybrid deployment options
Reviewed on May 07, 2025
Review provided by G2
What do you like best about the product?
- Unparalleled query performance: in-memory, massive-parallel processing cluster DB
- Suited for highly analytical workloads
- Comes with the ability to run custom build Python,Lua,R workloads *in database*
- New feature: "Lakehouse Turbo Charge" allows for highly performant queries against Apache Iceberg tables (an open table format) - data is no longer silo'ed in vendor specific systems
- Fast and competent customer support
- Suited for highly analytical workloads
- Comes with the ability to run custom build Python,Lua,R workloads *in database*
- New feature: "Lakehouse Turbo Charge" allows for highly performant queries against Apache Iceberg tables (an open table format) - data is no longer silo'ed in vendor specific systems
- Fast and competent customer support
What do you dislike about the product?
- Requires more setup steps and configuration effort than cloud-only SaaS databases
- Version upgrades have to be performed by DBAs
- less out of the box SQL functions (in particular semi-structured data) than competitors
- Version upgrades have to be performed by DBAs
- less out of the box SQL functions (in particular semi-structured data) than competitors
What problems is the product solving and how is that benefiting you?
Exasol allows me to run a best-of-breed in my Data Lakehouse architecture and avoid vendor lock-in, by accessing/caching Apache Iceberg tables in my data lake.
It is more cost effective that common competitor clould databases/platforms.
Exasol solves the problem of slow, inefficient data analytics by providing an ultra-fast in-memory database designed for big data workloads eliminating bottlenecks in real-time analytics: Use it for Accelerating certain BI workloads. Even in existing DWH landscapes, you can offload (copy) performance-critical Tables/Data Marts into Exasol, giving you an immediate performance boost without refactoring
The benefits are clear: businesses gain instant access to actionable insights, reducing decision-making cycles from hours to seconds. Scalability ensures performance remains consistent as data grows, while cost efficiency outperforms proprietary alternatives like Oracle. For industries reliant on data-driven strategies (e.g., finance, telecom), Exasol’s speed and flexibility translate directly into competitive advantages, better resource allocation, and faster innovation.
It is more cost effective that common competitor clould databases/platforms.
Exasol solves the problem of slow, inefficient data analytics by providing an ultra-fast in-memory database designed for big data workloads eliminating bottlenecks in real-time analytics: Use it for Accelerating certain BI workloads. Even in existing DWH landscapes, you can offload (copy) performance-critical Tables/Data Marts into Exasol, giving you an immediate performance boost without refactoring
The benefits are clear: businesses gain instant access to actionable insights, reducing decision-making cycles from hours to seconds. Scalability ensures performance remains consistent as data grows, while cost efficiency outperforms proprietary alternatives like Oracle. For industries reliant on data-driven strategies (e.g., finance, telecom), Exasol’s speed and flexibility translate directly into competitive advantages, better resource allocation, and faster innovation.