Velvet also provides a platform for building features on top of queries, publishing them for use in products, and visualizing data or triggering actions through the API. The platform supports fast queries, unified data, an AI sidekick for writing complex SQL queries, a simple API for accessing queries as API endpoints, a collaborative workspace, and visualization of queries. The article also mentions common use cases for Velvet, such as exploring and analyzing data, building visualizations, and pulling data into products.
Key takeaways:
- Velvet is an AI-first SQL editor that allows users to ask natural language questions to automate SQL and return live data.
- It provides a collaborative platform where users can turn queries into tables, graphs, and alerts that the entire team can use.
- Velvet allows users to build analytics and product features using interoperable API endpoints.
- It supports fast queries, unified data, AI sidekick for complex SQL queries, simple API access, collaborative workspace, and visualization of queries.