Question: Is there a tool that lets me create fast data products using SQL and Git, with a focus on collaboration and iteration?

If you're looking for a tool that lets you build fast data products with SQL and Git, with a strong emphasis on collaboration and iteration, Deepnote is worth a look. It's a collaborative data workspace that combines Python, SQL and no-code tools to explore, analyze and share data. Deepnote can connect to many data warehouses, supports real-time commenting, and has strong collaboration abilities like version control and sharing.

Another strong contender is Hex, an AI-augmented collaborative workspace for data teams. Hex lets you explore data on modular, notebook-based canvases with SQL, Python, R and other tools. It also can generate queries with AI assistance, create interactive reports, and control access to sensitive data. The service is geared for teams that need to collaborate on data analysis and visualization.

Coginiti is a collaborative data operations platform that helps teams build, publish and consume trusted data products. It can integrate deep database objects, support modular analytic development, and include team collaboration abilities with versioned workspaces and built-in version control. Coginiti also includes AI assistance and a data quality framework to ensure analytics consistency and data security.

If you're looking for a serverless data platform, check out Xata, which is built for PostgreSQL and designed to fit into developers' existing workflows. Xata includes features like serverless Postgres, zero-downtime schema migrations, full-text search and a collaborative dashboard. It's got generous free tiers and flexible pricing to handle growing projects, so it's a good choice for data product creation and iteration.