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Use our AI SQL editor to query your database or unified data sources. We've built an accessible platform that automates complex SQL and returns live data in milliseconds. Take ownership and access your product's data directly.
Your team spends valuable time unifying data and writing queries to answer analytics questions or to build new data features. This is a major drain on engineering resources and slows down your decision-making ability.
Instead, use Velvet to query all your data in one unified workspace. Automate complex SQL using natural language, return live data results, explore your data, and collaboratively build new features using our API.
Velvet makes everyone on your team a data engineer.
We make your data more accessible with an integrated AI interface that any product stakeholder can use. Stop wasting precious engineering resources, and take ownership over your new product features and analytics.
Enable every member of the product team to run analytics, reporting, and even participate in building production-ready product features.
We've engineered a data pipeline so you don't have to.
Under the hood, we use ClickHouse to bring all your data together into one queryable interface. Each organization's workspace a ClickHouse database, and each source is a table.
So you can write queries like this, without breaking a sweat.
1WITH
2 toDateTime(date_sub(week, 1, now())) AS start_of_last_week,
3 toDateTime(now()) AS end_of_last_week,
4 (
5 SELECT groupArray(p.name) AS recommended_product_names
6 FROM postgres_products p
7 WHERE p.active = 1
8 ) AS recommended_products
9SELECT DISTINCT
10 u.email,
11 u.full_name,
12 u.id,
13 recommended_products.recommended_product_names
14FROM postgres_users u
15JOIN postgres_subscriptions s ON u.id = s.user_id
16WHERE s.status = 'active'
17 AND s.current_period_start >= start_of_last_week
18 AND s.current_period_start <= end_of_last_week
19ORDER BY s.current_period_start DESC;Don't know all the specifics of a data source's schema? No problem. Ask any natural language question about your product and our AI editor introspects on your data to write the SQL for you. We've built in "healing" on errors, and the editor recommends additional queries that may be of interest based on the shape and patterns of your data.
We recommend you start by connecting your database, then layer on additional data sources as you need them. Each source is a table that can be queried.
Our system can support most databases, data integrations, and events. If you don't see one of your required sources listed here, fill out this form (or email team@usevelvet.com) and we'll add support.
Read our docs to connect your database. It's a quick set up.
Fill out this form to request support for a database - we'll add it!
Read our docs to add third-party integrations. They're quick to set up.
Fill out this form to request support for a third-party tool - we'll add it!
Read our docs to capture events from any source. They're quick to set up.
We're here for you! Schedule a call to get a demo or for onboarding support.
Email us any time at team@usevelvet.com, or schedule a call here.
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Securely connect and query your database with Velvet.
Using Velvet to analyze our launch and automate onboarding.
