📄️ Common Setup for Databases and Data Warehouses
This article provides general information about working with databases and data warehouses in Nexla.
📄️ Google BigQuery
For the version of this article pertaining to the legacy Nexla UI, click here.
📄️ Google Cloud SQL (MySQL)
Nexla's bi-directional connectors can both send data to and receive data from any data system. This means that once a user has created or gained access to a credential for any data system, building any data flow to ingest data from or send data to a location within that data system requires only a few simple steps.
📄️ Google Cloud SQL (PostgreSQL)
Nexla's bi-directional connectors can both send data to and receive data from any data system. This means that once a user has created or gained access to a credential for any data system, building any data flow to ingest data from or send data to a location within that data system requires only a few simple steps.
📄️ Google Cloud SQL (SQLServer)
Nexla's bi-directional connectors can both send data to and receive data from any data system. This means that once a user has created or gained access to a credential for any data system, building any data flow to ingest data from or send data to a location within that data system requires only a few simple steps.
📄️ Databricks
Nexla's bi-directional connectors can both send data to and receive data from any data system. This means that once a user has created or gained access to a credential for any data system, building any data flow to ingest data from or send data to a location within that data system requires only a few simple steps.
📄️ Snowflake
Nexla's bi-directional connectors can both send data to and receive data from any data system. This means that once a user has created or gained access to a credential for any data system, building any data flow to ingest data from or send data to a location within that data system requires only a few simple steps.