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Velvet — Make everyone a data engineer
Query all your data in one place and ship real-time product features. Use our AI editor to make your data accessible and interoperable.
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Congratulations on launch @emmalawler24 and @chris_hendel!
I've been beta testing Velvet for a couple of months, and I'm excited to see it go live.
Every startup reaches a point where they outgrow Amplitude or Mixpanel. These tools enforce specific data structures, and their SDKs get blocked by many browsers. They completely break with multi-tenancy and barely support organizations.
The best-in-class in-house analytics stack is Snowflake, Fivetran, and PowerBI. However, this costs about a quarter million dollars, and requires hiring a data team to maintain and analyze it. This stack can answer any question you want, but PMs lose the ability to easily ask questions directly.
Velvet bundles this warehouse/import/analysis stack, and sprinkles in amazing UX and AI to make it modern. Now, any startup can build an advanced data analytics stack that answers any question in their data, and its AI editor makes the product easy enough that PMs can self-serve questions - no data analysts required.
In the age of AI, controlling your data is key. Velvet centralizes your databases, third-party events (like Stripe), and even first-party events from your app - storing them in one place and letting you write queries that join across sources.
Thanks for all your feedback as an early adopter @philipithomas! We're a data platform for the modern tech stack - so your comparison to the Snowflake/Fivetran/PowerBI bundle makes a ton of sense.
Very solid execution, powerful and very well designed. Great use of AI, getting SQL written for you is super useful.
@mehdidjabri - Thanks, we're excited to have you try it out next week for IterationX!
Big congrats on the launch Emma and Chris. Velvet looks great. Good luck to you today ❤️🦄
Woah, this is so impressive ! Writing SQL queries can be such a hassle. It's a clever application of AI.
Would love to try it !
@michael_dawant1 - The AI interface is cool, but what's really unique is how we unify your data into one performant database. It's the first time most teams have been able to query their database tables alongside 3rd-party tools and events. Excited to have you try it out!
Everything Chris builds is great! And this makes me feel so much better for never getting good at SQL.
@tamar_lindenbaum2 Thanks Tamar! Let's get you onboarded so you don't have to write any more SQL 😉
Congrats on the launch @emmalawler24
Writing queries is one of the best uses of AI. Many users of Github Copilot will be abe to appreciate the time saving that Velvet will bring.
I'm curious, how long did it take you to extract AI SQL as its own product for the public?
@emmalawler24 @jgani We've been working on this platform for several months. Natural language to SQL is just one component of what we're doing. Additionally, we built a scalable and secure data platform to unify your data sources into one queryable interface. Besides the infrastructure, we focused a lot on the UX of the AI SQL editor itself, allowing you to iterate on your queries by simply asking another question, requesting a refinement, or editing it manually.
@emmalawler24 @chris_hendel Thanks, Chris. That sounds like a pretty huge undertaking. You guys did an amazing job!
Congrats Velvet team! Such an easy product to use and adds to much value to product & eng teams
@atticusli Velvet works great for both teams and individuals. We want to make sure folks can get value on their own for solo projects or individual contributor work while also having a powerful way for teams to collaborate on data engineering and product development.
Congratulations on the launch! Having all my data in one place and being able to query it easily sounds incredibly useful. And the fact that I can use an AI editor to make my data accessible and interoperable is just icing on the cake. Great job!
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