Skip to main content

Supported sources

This section outlines lists of sources that are supported for metadata collection as well as for data virtualization and extraction.

For Metadata Collection

We currently support systems for: Data storage, Business intelligence, ETL/ELT, Streaming, Data provenance, Data quality, and APIs.

Data storage and query systems

The following table lists the ways the connection can be configured for each system and the features available.



Business intelligence systems

The following table lists the ways the connection can be configured for each system and the features available.

Table 2.

System

Metadata collection using data.world cloud collectors

Metadata collection using data.world on-premise collectors

Lineage metadata available within the source

Data profiling

Sensitive Data Discovery

(Beta feature)

Amazon QuickSight

Available in Private preview

No

Yes

(Collector Wizard not available)

Yes

No

No

Domo

No

Yes

No

No

No

Grafana

Yes

Yes

Yes

No

No

Looker

Yes

Yes

Yes

No

No

Power BI Service

Yes

Yes

Yes

No

No

Power BI Gov

Yes

Yes

Yes

No

No

Power BI Report Server

Available in Private preview

No

Yes

(Collector Wizard not available)

Yes

No

No

Sigma

Yes

Yes

Yes

No

No

SQL Server Reporting Services (SSRS)

Yes

Yes

No

No

No

Tableau

Yes

Yes

Yes

No

No

ThoughtSpot

Yes

Yes

No

No

No



ETL/ELT systems

The following table lists the features available for the systems.

Table 3.

System

Metadata collection using data.world cloud collectors

Metadata collection using data.world on-premise collectors

Lineage metadata available within the source

Data profiling

Sensitive Data Discovery

(Beta feature)

Azure Data factory

Yes

Yes

Yes

N/A

No

dbt Core

No

Yes

(legacy collector docs)

Yes

N/A

No

dbt Cloud

Yes

Yes

Yes

N/A

No

Fivetran

Yes

Yes

Yes

N/A

No



Streaming systems

The following table lists the features available for the systems.

Table 4.

System

Metadata collection using data.world cloud collectors

Metadata collection using data.world on-premise collectors

Lineage metadata available within the source

Data profiling

Sensitive Data Discovery

(Beta feature)

Kafka - Confluent Cloud

Yes

Yes

No

No

No

Kafka - Confluent Platform

No

Yes

No

No

No

Amazon Managed Streaming for Kafka

No

Yes

No

No

No



Data provenance systems

The following table lists the features available for the systems.

Table 5.

System

Metadata collection using data.world cloud collectors

Metadata collection using data.world on-premise collectors

Lineage metadata available within the source

Data profiling

Sensitive Data Discovery

(Beta feature)

Manta

Yes

Yes

Yes

No

No

Marquez

No

Yes

No

No

No



Data quality and observability systems

The following table lists the features available for the system.

Table 6.

System

Metadata collection using data.world cloud collectors

Metadata collection using data.world on-premise collectors

Lineage metadata available within the source

Data profiling

Sensitive Data Discovery

(Beta feature)

Monte Carlo

Yes

Yes

No

No

No



API

The following table lists the features available for the system.

Table 7.

Systems

Metadata collection using data.world cloud collectors

Metadata collection using on-premise collectors

Lineage metadata available within the source

Data profiling

Sensitive Data Discovery

(Beta feature)

OpenAPI

No

Yes

No

No

No



Data virtualization and data extraction

Data storage and query systems

The following table lists the features available for the supported systems.

Table 1.

System

Data virtualization using Connection Manager

Data extraction using Connection Manager

Data profiling

Athena

Yes

Yes

Yes

Azure Synapse Analytics

Yes

Yes

Yes

BigQuery

Yes

Yes

Yes

Databricks

Yes

Yes

Yes

Denodo

Yes

Yes

Yes

Infor Ion

Yes

Yes

Yes

Microsoft SQL Server

Yes

Yes

Yes

MySQL

Yes

No

Yes

Oracle

Yes

No

Yes

PostgreSQL

Yes

Yes

Yes

Redshift

Yes

Yes

Yes

Snowflake

Yes

No

Yes