Create source connections in just a few clicks, and watch as ETL pipelines are automatically generated to synchronize data into either the native data warehouse or your preferred DWH.
Available connections span SaaS connectors, database connectors, data warehouse connectors and data lake connectors.

UbuntuFabric offers an extensive collection of SaaS connectors. Link your business applications and witness automated ETL pipeline configuration that synchronizes data directly to your warehouse.

Custom connectors developed within 48 hours upon request. Visit our connectors directory for the full catalog.

UbuntuFabric seamlessly integrates with diverse SQL and no-SQL database environments including MySQL, Postgres, SQL Server, MongoDB with additional database support available.

UbuntuFabric interfaces with Snowflake, Azure SQL Server, AWS Redshift and Google BigQuery. Support for alternative data warehouses available upon request.

UbuntuFabric includes a native scalable data warehouse powered by Postgres architecture.
Alternatively, leverage your existing data warehouse as an ETL destination (Snowflake, Redshift, BigQuery, Azure SQL Server).

UbuntuFabric securely connects to on-premise data repositories via encrypted VPN tunnels or through the dedicated UbuntuFabric on-prem agent.

UbuntuFabric features an intuitive spreadsheet-inspired interface enabling both data engineers and business teams to interact with organizational data effortlessly.

UbuntuFabric’s integrated Trino federated query engine delivers “SQL on anything” functionality, facilitating data joins across disparate sources.

UbuntuFabric intelligently maps the schema of every connected data source, capturing table structures, metadata, relationships and more.

Execute powerful data transformations through the enhanced SQL editor, supporting both ephemeral and materialized query approaches.

UbuntuFabric incorporates a sophisticated SQL editor for unified data manipulation across all connected sources. Execute queries against the native DWH, your custom DWH, or leverage UbuntuFabric’s Trino federated query engine.

UbuntuFabric incorporates a full-featured Python IDE with runtime environment supporting low-code data-oriented script development. Create powerful data applications using Streamlit, Pandas and numerous additional Python libraries.

Convert any table or query into materialized views within UbuntuFabric’s native data warehouse or your existing DW infrastructure.

UbuntuFabric’s streamlined Python scripting environment enables single-line writeback operations to SaaS applications, facilitating Reverse ETL implementation with minimal code.

Develop specialized ETL source connectors and tailored ETL pipelines using UbuntuFabric’s simplified Python scripting environment.

UbuntuFabric generates visual data lineage maps revealing data origins, dependency networks and change impact analysis for existing queries.

UbuntuFabric enables comprehensive data asset cataloging through metadata enrichment including table and column descriptions, tagging systems, ownership attribution and more.

Implement robust data quality verification and scheduled monitoring protocols for datasets via low-code scripting. Distribute automated alerts through Slack and other channels to maintain team awareness.

Deploy advanced data masking solutions for sensitive information including PII through straightforward Python scripts.

Access industry-leading data tools with single-click deployment from the UbuntuFabric marketplace. All tools are automatically provisioned and hosted within the UbuntuFabric environment.