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Atlas-DB vs SQLFlow: What are the differences?
What is Atlas-DB? Backend for managing dimensional time series data, by Netflix. Atlas was developed by Netflix to manage dimensional time series data for near real-time operational insight. Atlas features in-memory data storage, allowing it to gather and report very large numbers of metrics, very quickly.
What is SQLFlow? Extend SQL to support AI. A bridge that connects a SQL engine, e.g. MySQL, Hive, SparkSQL or SQL Server, with TensorFlow and other machine learning toolkits. Extends the SQL language to enable model training, prediction, and inference.
Atlas-DB and SQLFlow can be primarily classified as "Database" tools.
Atlas-DB and SQLFlow are both open source tools. It seems that SQLFlow with 2.89K GitHub stars and 418 forks on GitHub has more adoption than Atlas-DB with 2.4K GitHub stars and 204 GitHub forks.