There are 1 repository under exasol topic.
Turbodbc is a Python module to access relational databases via the Open Database Connectivity (ODBC) interface. The module complies with the Python Database API Specification 2.0.
Scalefree's dbt package for a Data Vault 2.0 implementation congruent to the original Data Vault 2.0 definition by Dan Linstedt including the Staging Area, DV2.0 main entities, PITs and Snapshot Tables.
Docker environment for DataGrip testing
SQLAlchemy dialect for EXASOL
Build SQL statements safely without string concatenation
Entry point repository for the EXASOL Virtual Schemas
The Hadoop ETL UDFs are the main way to load data from Hadoop into EXASOL
Java library to read Parquet files.
Base Repository for the Script Language Container for user defined functions (UDF's) that can be used in the EXASOL database. You can find the release repository under https://github.com/exasol/script-languages-release
A connector for Apache Spark to access Exasol
Exasol dialect for the Kafka Connect JDBC Connector
Test container for Exasol on Docker
Release Repository for Script Language Container for user defined functions (UDF's) that can be used in the EXASOL database.
Exasol SQL driver for Golang
Exasol Driver for VSCode plugin SQLTools
Exasol Cloud Storage Extension for accessing formatted data Avro, Orc and Parquet, on public cloud storage systems
TRExt - Tableau Refresh Extract (Externally)
A docker-based environment for integration tests with the EXASOL DB.
Exasol driver for Metabase
This project complements Apache Spark structured streaming with hand-picked streaming sources and sinks.
Exasol Kafka Extension for accessing Apache Kafka
Infrastructure & Automation Tooling for Python Projects
Virtual-Schema-based row-level security for Exasol
Terraform module for deploying Exasol cluster on AWS.
Virtual Schema for document files on AWS S3
Learn how to extend Exasol with Java
Python guide's, examples and tutorials
Terraform provider to manage Exasol SaaS resources as code
An Exasol extension for using state-of-the-art pretrained machine learning models via the Hugging Face Transformers API.