What is Velvet?
Velvet is a unified data platform designed for product and engineering teams at high-growth startups. It aids in transforming every member of your team into a data engineer by enabling users to query disparate data sources, ship real-time features, and fine-tune their team's data workflow. Users can write complex SQL, parse vast amounts of data using AI, and collaborate by turning queries into tables, graphs, and alerts that are accessible for the entire team. The platform offers features such as real-time data features harnessing query API endpoints, and the convenience of storing unlimited data. Velvet captures real-time data from your database, 3rd-party tools, and events and provides an analytics database per workspace and a table per source. Users can also utilise an AI sidekick to execute complex queries across all their data, and save them as API endpoints. The platform also allows users to ship features using real-time data to fast-track product development workflows. With Velvet, users can ingest any data source, access queries as API endpoints for dynamic features, and build AI-assisted visualizations to track data movement over time.
Pros
- Transforms team into data engineers
- Enables data query from disparate sources
- Offers real-time feature shipping
- Allows complex SQL writing
- Facilitates large data parsing
- Turns queries into visual data
- Data stored as query API endpoints
- Supports real-time data for product development
- Permits ingestion of any data source
- Allows access to queries as API endpoints
- Tracks data movement over time
- Supports collaboration of data engineering
- Designed specifically for high-growth startups
- Unlimited data storage
- Real-time data from database
- events
- 3rd-party tools
- Provides an analytics database per workspace
- A table per data source
- Real-time data for accelerated product development
- API endpoints available
- Unified data from all events
- Identifies important trends in data
- Offers dynamic personalization of features
- Unified data platform
- Data workflow optimization
- Visualize queries over time
- Supports cross-source data queries
- Supports database tables connection
- Supports third-party data sources
- Supports any event-based source
- Enables surface data directly in product
- Dynamic pricing system
- Allows creation of customer dashboards
- Backend as a service API
- Facilitates data analysis
Cons
- Limited to high-growth startups
- No explicit support for non-SQL languages
- Real-time data might affect performance
- Possible user overwhelm with unlimited data
- Could favor tech-savvy users
- No offline mode mentioned
- Lack of data backup mechanisms
- No explicit data security measures
Velvet FAQ
What is Velvet?
Velvet is a unified data platform that is designed to support product and engineering teams at high-growth startups. It empowers users to perform complex SQL queries, leverage AI for parsing large data sets, and collaborate by turning queries into interactive visuals such as tables, graphs, and alerts accessible to the entire team. Velvet offers functionality such as harnessing real-time data via query API endpoints and provides an opportunity for storing unlimited data.
How does Velvet transform all team members into data engineers?
Velvet empowers all team members to act as data engineers by enabling them to query disparate data sources, utilize real-time data to develop features, and fine-tune their team's data workflow. It enables users to write complex SQL, parse large volumes of data using AI, and collaborate by transforming queries into tables, graphs, and alerts that are accessible for the entire team.
How does the query API endpoints feature in Velvet work?
In Velvet, query API endpoints work by leveraging real-time data to develop new product features. Users can write complex queries, run them across every data in the system, and save these as API endpoints. This allows Velvet to facilitate the shipping of features that make use of real-time data, accelerating product development workflows.
What kind of data can Velvet store?
Velvet has the capacity to store unlimited data. It can capture real-time data from various sources such as your own database, third-party tools, and events. It provides an individual analytics database for every workspace and creates a separate table for each source.
How does Velvet capture real-time data?
Velvet captures real-time data from multiple sources, including your own company's database, third party tools, and events. Providing a separate database for each workspace and a unique table for each data source, it ensures a reliable influx of real-time data.
What functionalities does the AI sidekick in Velvet provide?
The AI sidekick in Velvet facilitates users to execute complex queries across all data. This AI functionality can help users formulate and save such queries as API endpoints. It also assists in producing visualizations that can track data movement over time.
In what ways can Velvet aid in shipping real-time features?
Velvet aids in shipping real-time features by enabling users to employ real-time data for building features and guide product development workflows. It allows accessing queries as API endpoints for dynamic features and provides an AI-assistant for visually tracking data movement over time.
How does Velvet assist in data ingestion?
Velvet supports the ingestion of data from any data source. It can swiftly assimilate real-time data from a user's database, event-based sources, and third-party tools, making the data readily available for querying and analysis.
