For product owners

All your data in one place

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.

Why Velvet

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.

Replace tedious data workflows

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.

How it works

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.

2    toDateTime(date_sub(week, 1, now())) AS start_of_last_week,
3    toDateTime(now()) AS end_of_last_week,
4    (
5        SELECT groupArray( AS recommended_product_names
6        FROM postgres_products p
7        WHERE = 1
8    ) AS recommended_products
11    u.full_name, 
13    recommended_products.recommended_product_names
14FROM postgres_users u
15JOIN postgres_subscriptions s ON = 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.

AI recommended queries illustration
Data sources

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.

Velvet infrastructure

Velvet security

A guide to getting started for engineers

Connect your data sources

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 and we'll add support.

adding a new database table illustration

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!

Third-party data sources
adding a new 3rd-party integration illustration

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!

Capture webhooks from anywhere
adding a new event illustration

Read our docs to capture events from any source. They're quick to set up.

Get started

We're here for you! Schedule a call to get a demo or for onboarding support.

Email us any time at, or schedule a call here.

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Make everyone on your team a data engineer.

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