Modern Data Sharing
with TrustRelayUnlock the value of data through collaboration within Data Ecosystems. A proper governance is key for the Data Ecosystem to be fair and trustworthy.
Define your rulebook consisting of a code of conduct and membership agreements and make the participants complying with them.
Self-serve approach to register as a participant and get approval by the governance authority.
Immediate data transacting upon onboarding results in optimized time to value.
Data Products are at the heart of any flourishing Data Ecosystem and build the core of data sharing transactions.
Define your Data Product using industry standards. Publish them and make them findable for everyone in the Data Ecosystem.
Request access to a Data Product and agree to its usage terms. Consume the data through the channels offered by the owner of the Data Product.
As the owner of a Data Product, monitor its usage and manage the Data Product driven by the demand of the data consumers.
Access to data is fully controlled by the data product owner. All access requests are made transparent and auditable.
Configure the access request workflow for your data products, including purpose and duration.
Grant/deny access to your data product allowing immediate access to the data.
As a data product owner you can monitor users accessing your data at all time.
Increase data accessibility and analytical capabilities by leveraging a Federated Query Engine.
Make your data ecosystem smart by connecting to diverse data sources, regardless of their location or format, using open standards and connectors.
Using SQL, you can precisely define how you want to retrieve, manipulate, and analyze information, putting you directly in charge.
Let the engine unify the query experience, allowing users to access and analyze data from multiple, disparate sources as if it were a single, cohesive database.
TrustRelay is engineered for speed, flexibility, and seamless integration.
| Component | Technology Used | Purpose |
|---|---|---|
| Query engine | DuckDB | Lightning-fast analytics on remote data |
| Frontend | SvelteKit | Reactive, sleek UI for seamless user experience |
| Backend | Golang | High-performance APIs and orchestration |
| Database | PostgreSQL | Reliable metadata and user state management |
Whether you're wrangling structured databases or parsing open data formats, our platform speaks your language.
Data sources
- Relational Databases: PostgreSQL, MySQL, SQLite
- Cloud Storage: AWS S3, Azure, GCP
- APIs & Open Data Portals
File formats
- Tabular: CSV, Excel, Parquet
- Hierarchical: JSON, GeoJSON
- Streaming: NDJSON
Metadata standards
- Open Data Product Specification
- ML Commons Croissant (RAI)
Query without limits
No ETL. No waiting. Just instant insights.
Ad-hoc querying across disparate sources.
Schema-on-read for flexible data ingestion.
SQL as lingua franca for data manipulation. Powered by DuckDB.
Built for Builders
Zero setup - just connect and query
Visualize results instantly or export to your tools
Collaborate with your team in real-time
API-first design for seamless integration
Release History
- Integrated DuckDB
- Added Map Viewer for Geo-related data insights
- Included Overture Maps
- Implemented Open Data Product Specification 3.1
- Support for Open Data Product Specification 4.0
- Create data products using Generative AI
- Query catalog and data products using natural language
- Supports ML Commons Croissant for CSV files
