Row64 is designed to easily connect to many database, data lake, and data application platforms. The primary strategy is to pull from the data source and copy it into RamDb. A general overview of this connection strategy is available at:
This project contains folders for each integration in GitHub. The Row64 Integrations GitHub page is at the following link:
This documentation provides simple integration configuration examples that are intended to be further modified to meet your specific needs. Linux distributions, Python, Pandas, connectors and security requirments are in a time period of rapid change. So, if you find any problems, please log them under Issues and contact our support team if you are under a commercial license.
For high-speed data streaming where the update rate is per second or millisecond, please check out Row64 Streaming. There are a different set of connectors and a different connection strategy that pushes updates directly through the server to connected clients. More information can be found at:
These examples are mostly in Python, but we intend to grow them in multiple languages. We also intend to add some C++ low-level examples for higher speed at larger scales (10M-1B records). For a dataset under 10 million records that is not frequently updating, Python should be sufficent.