Question: Can you recommend a collaborative data workspace that integrates with popular data warehouses and allows for real-time commenting and version control?

If you're looking for a collaborative data workspace that integrates with common data warehouses and offers real-time commenting and version control, Deepnote is a great option. It lets teams collaborate with Python, SQL and no-code tools, connecting to data warehouses like Snowflake and BigQuery. Deepnote has features like AI-assisted code completion, interactive visualizations and high-end GPU configurations. It also has strong collaboration tools with real-time commenting, version control and data encryption for sensitive data.

Another top contender is Hex, which promises AI-powered collaboration for data teams. Hex offers data exploration on modular canvases, AI-assisted query generation and interactive reporting. It connects to common data warehouses and lakehouses, and it's got enterprise-level security controls like SOC2 and HIPAA compliance. Hex supports advanced data techniques like clustering and sentiment analysis, and it offers several pricing levels with a 14-day free trial.

For a data operations platform, Coginiti is worth a look. It lets teams create, publish and consume trusted data products with deep integration into leading data platforms. Coginiti offers modular analytic development, team collaboration with versioned workspaces, and AI assistance to speed productivity. It also includes a data quality framework and integrates with a range of data platforms and tools.

Last, Mode is a collaborative data platform that combines SQL, R, Python and visual analytics. It's good for ad hoc analysis, advanced analytics and self-service reporting. Mode is designed to be flexible, so it's good for data teams and business teams, and it's got a range of pricing levels to match your needs. Its ability to handle complex ad hoc analysis and self-service reporting makes it a good choice for data collaboration.