I like the ease of installation with BlazeSQL. You just need a database connection, and it really gets going. It's great that BlazeSQL allows you to properly input your data and information for all schemas and columns, turning it into a smart agent rather than just a guesser. I think BlazeSQL does a really good job allowing this. Moreover, having the ability to build dashboards without waiting for a data team is a big upgrade. BlazeSQL allows us to connect all our services, like MCP and Notion, making it even smarter with better query writing. It's also pretty awesome how it can access Notion and understand queries better. The strong integration capabilities are pretty insane.

I use BlazeSQL to automate the analytics of our data warehouse, which allows people without experience in data analytics to query and report themselves. It significantly reduces the load on our data/analytics team since they don't have to support day-to-day queries anymore. I appreciate that it allows people to make data-driven decisions rather than just relying on intuition. BlazeSQL is a well-streamlined product, and I like that they frequently add new updates, listening to feedback, which makes me feel like the product is tailored well for our use case. The feedback loop ensures good support if we encounter issues down the line. I also like that the initial setup was very easy since it connects to BigQuery out of the box.

What I appreciate most is how it functions more like a capable analysis partner. You can give it higher-level questions or goals in plain English - e-g. "Help me figure out why new user retention dropped in the last cohort and what might be driving it" - and it reasons through it: runs the right breakdowns, surfaces key patterns, provides supporting visuals and explains things clearly. You can then iterate naturally ("focus on mobile users", etc.) and it keeps context well. The natural language knowledge base (simple notes for things like activation definitions, exclusions, fiscal rules) makes it comparatively easy to get it understanding our specific database and business logic, leading to more accurate and relevant outputs without heavy ongoing effort. As a results, people across marketing, product, and ops are doing independent analysis and are not limited to pre-built dashboards or waiting for data pulls. It's best suited for internal exploration and decision support. Also, the initial setup was very easy.