Data Catalog High level feature comparison
GitHub - opendatadiscovery/awesome-data-catalogs: 📙 Awesome Data Catalogs and Observability Platforms.
Awesome Data Discovery and Observability 
This repository contains a curated list of awesome data catalogs and observability platforms that help you discover, manage, and observe data in your organization.

Contents: Existing Data Discovery and Observability Solutions



OSS Data Catalogs
 Proprietary Monocloud DCs
 Proprietary Observability Tools
Other Proprietary DCs




📙 Amundsen
📒 Google DC
🔍 Monte Carlo
📕 Alation


📙 DataHub
📒 Azure DC
🔍 Databand
📕 Atlan


📙 Marquez

🔍 Datafold
📕 Collibra


📙 Atlas

🔍 Ataccama
📕 DataGalaxy


📙 CKAN

🔍 DataKitchen Open Source Data Observability
📕 Informatica


📙 Magda


📕 Stemma


📙 OpenDataDiscovery


📕 Talend


📙 OpenMetadata


📕 Select Star


📙 Meta#Grid





📙 Grai







High-Level Feature Comparison



Tool
Specification -Based
Search-based
Network-based
Lineage-based
Federation
ML 1st Citizen
Data Quality
End-to-end Lineage
Observ- ability
Column-level lineage
Data collaboration




Alation
❌
✔️
❌
✔️
❌
❌
✔️
❌
❌
❌
❌


Amundsen
❌
✔️
✔️
✔️
❌
❌
❌
❌
❌
❌
❌


Ataccama
❌
✔️
❌
✔️
❌
❌
✔️
❌
❌
❌
❌


Atlan
❌
✔️
❌
✔️
❌
❌
✔️
❌
❌
✔️
✔️


Atlas
❌
✔️
❌
✔️
❌
❌
❌
❌
❌
❌
❌


Azure DC
❌
✔️
?
✔️
❌
❌
?
❌
❌
❌
❌


CKAN
❌
✔️
❌
❌
✔️
❌
❌
❌
❌
❌
❌


Collibra
❌
✔️
?
✔️
❌
❌
?
❌
❌
❌
❌


DataGalaxy
❌
✔️
✔️
✔️
❌
❌
❌
✔️
✔️
?
?


Databand
❌
?
?
?
❌
?
?
?
✔️
❌
❌


Datafold
❌
✔️
✔️
✔️
❌
❌
✔️
❌
✔️
❌
❌


DataHub
✔️ details
✔️
✔️
✔️
✔
✔
✔
✔
❌
✔
❌


Google DC
❌
✔️
❌
✔️
❌
❌
?
❌
❌
❌
❌


Informatica
❌
✔️
✔️
✔️
❌
❌
✔️
❌
❌
?
❌


Magda
❌
✔️
❌
❌
✔️
❌
❌
❌
❌
❌
❌


Marquez
OpenLineage
✔️
❌
✔️
?
❌
❌
❌
❌
✔️
❌


Monte Carlo
❌
✔️
❌
✔️
❌
❌
✔️
❌
✔️
❌
❌


Select Star
❌
✔️
✔️
✔️
✔️
❌
❌
✔️
❌
✔️
✔️


OpenDataDiscovery
ODD Specification
✔️
✔️
✔️
✔️
✔️
✔️
✔️
✔️
❌
✔️


OpenMetadata
JSON Schema
✔️
✔️
✔️
✔️
✔️
✔️
✔️
❌
✔️
✔️


Stemma
❌
✔️
✔️
✔️
❌
❌
?
✔️
❌
❌
❌


Talend
❌
✔️
?
✔️
❌
❌
✔️
❌
❌
❌
❌


Meta#Grid
❌
✔️
❌
✔️
❌
❌
not yet
❌
❌
❌
✔️


Grai
Grai Schemas
✔️
❌
✔️
❌
✔️
✔️
❌
❌
✔️
✔️



Definitions:

Specification-based - uses an open standard for collecting metadata to allow efficient time-to-discovery and federating data catalogs
Search-based - allows to search for data assets
Network-based - provides rich context about data asset ownership
Lineage-based - provides lineage for all entities the solution operates 
Federation - the ability to map multiple data catalogs into a single UI to avoid repeated data collection. 
ML 1st citizen - operates ML entities on a high level - you can use them as any other data assets. 
Data Quality - includes mature data quality assurance tools. 
End-to-end lineage - data lineage that includes all data assets used in the organization across all its data catalogs and ML tools. 
Column-level lineage - data lineage with column level granularity
Data collaboration - provides possibility to bring together data from various internal and external sources to unlock combined data insights



📙 Open-Source Data Catalogs

Amundsen
Website | GitHub


A popular open-source data catalog for metadata management and data discovery originated from Lyft. Created by Amundsen maintainers, Stemma provides a managed version of an enterprise data catalog, inspired by Amundsen.



Based on Open Standard
Search-based
Network-based
Lineage-based
Federation
ML 1st Citizen
Data Quality
End-to-end Lineage
Observability
Column-level lineage
Data collaboration




❌
✔️
✔️
✔️
❌
❌
❌
❌
❌
❌
❌




More features


Strategy: Push 
UX personalization: No 
AI autowiring: No 
Rich data profiling:  No 
Recommendations: Yes 
Schemas, Description: Yes
Complex schemas: No 
Data preview: Yes 
Column statistics: Yes 
Data owner: Yes
Top data users: Yes 
Change notifications:No 
Change feed: No 
Deployment:   
Supported data sources: Hive, Redshift, Druid, RDBMS, Presto, Snowflake 




DataHub
Website | GitHub


DataHub is an open-source data catalog enabling data discovery, data observability and federated governance that originated from LinkedIn and is commercially offered by Acryl Data as a cloud-hosted SaaS offering.



Based on Open Standard
Search-based
Network-based
Lineage-based
Federation
ML 1st Citizen
Data Quality
End-to-end Lineage
Observability




✔️ details
✔️
✔️
✔️
✔
✔
✔
✔
❌




More features


Strategy: Push, Pull
Customizable metadata model: Yes. The metadata model can be declared using the open-source Pegasus language, and is interoperable with JSONSchema and Avro 
Rich data profiling: Yes 
Recommendations: Yes 
Schemas, Description: Yes
Complex schemas: Yes 
Data preview: Yes 
Column statistics: Yes 
Data owner: Yes
Top data users: Yes 
Lineage impact analysis: Yes 
Change notifications: Yes 
Change feed: No 
Automation: Yes 
UX personalization: No 
Deployment: docker-compose / Kubernetes with Helm, or using Acryl Data's SaaS offering  
Supported data sources:
  
    Snowflake
    BigQuery
    Redshift
    Hive
    Athena
    Postgres
    MySQL
    SQL server
    Trino
    Delta Lake
    S3
    Looker
    PowerBI
    Tableau
    Mode
    Metabase
    Redash
    Superset
    Airflow
    Great Expectation
    dbt
    Feast
    SageMaker
    Glue
    Kafka
    Nifi
    Okta
    LDAP
    Slack
    There's 50+ integrations - see the docs for the latest.
  





Marquez
Website | GitHub


Marquez is an open-source data catalog for collection, aggregation, and visualization of a data ecosystem’s metadata originated from WeWork.



Based on Open Standard
Search-based
Network-based
Lineage-based
Federation
ML 1st Citizen
Data Quality
End-to-end Lineage
Observability
Column-level lineage
Data collaboration




OpenLineage
✔️
❌
✔️
?
❌
❌
❌
❌
✔️
❌




More features


Strategy: Push 
UX personalization: No 
AI autowiring: No 
Rich data profiling: No
Recommendations: No 
Schemas, Description: Yes
Complex schemas: No 
Data preview: Yes 
Column statistics: No 
Data owner: Yes
Top data users: ? 
Change notifications: No 
Change feed: No 
Deployment:   
Supported data sources: S3, Kafka 




Atlas
Website | GitHub


Apache Atlas is an open-source data catalog for metadata collection, governance, and data democratization.



Based on Open Standard
Search-based
Network-based
Lineage-based
Federation
ML 1st Citizen
Data Quality
End-to-end Lineage
Observability
Column-level lineage
Data collaboration




❌
✔️
❌
✔️
❌
❌
❌
❌
❌
❌
❌




More features


Strategy: Push 
UX personalization: No 
AI autowiring: No 
Rich data profiling: No
Recommendations: No 
Schemas, Description: Yes
Complex schemas: No 
Data preview: No 
Column statistics: No 
Data owner: No
Top data users: ? 
Change notifications: Yes 
Change feed: No 
Deployment:    
Supported data sources:HBase, Hive, Sqoop, Kafka, Storm  




CKAN
Website | GitHub


CKAN is an open-source data catalog for data management, powering data portals for govenments and enterprises.



Based on Open Standard
Search-based
Network-based
Lineage-based
Federation
ML 1st Citizen
Data Quality
End-to-end Lineage
Observability
Column-level lineage
Data collaboration




❌
✔️
❌
❌
✔️
❌
❌
❌
❌
❌
❌




More features


Strategy: Push 
UX personalization: No 
AI autowiring: No 
Rich data profiling: No
Recommendations: ? 
Schemas, Description: ?
Complex schemas: ? 
Data preview: ? 
Column statistics: ? 
Data owner: ?
Top data users: ? 
Change notifications: ? 
Change feed: ? 
Deployment:   
Supported data sources:  




Magda
Website | GitHub


Magda is an open-source data catalog that features data discovery, metadata enrichment, and federation, focused on geodata.



Based on Open Standard
Search-based
Network-based
Lineage-based
Federation
ML 1st Citizen
Data Quality
End-to-end Lineage
Observability
Column-level lineage
Data collaboration




❌
✔️
❌
❌
✔️
❌
❌
❌
❌
❌
❌




More features


Strategy: Push via UI 
UX personalization: No 
AI autowiring: No 
Rich data profiling: No
Recommendations: No 
Schemas, Description: Yes
Complex schemas: No 
Data preview: Yes 
Column statistics: No 
Data owner: Yes
Top data users: ? 
Change notifications: No 
Change feed: No 
Deployment:   
Supported data sources: Mostly geodata 




OpenDataDiscovery
Website | GitHub


First open-source data discovery and observability platform. ODD Platform is based on ODD Specification.



Based on Open Standard
Search-based
Network-based
Lineage-based
Federation
ML 1st Citizen
Data Quality
End-to-end Lineage
Observability
Column-level lineage
Data collaboration




✔️
✔️
✔️
✔️
✔️
✔️
✔️
✔️
✔️
❌
✔️




More features


Strategy: Push/Pull 
UX personalization: No  
Rich data profiling: Yes 
Data collaboration: Yes 
Schemas, Description: Yes
Complex schemas: Yes 
Data preview: Yes 
Column statistics: Yes 
Data owner: Yes 
Change notifications: Yes 
Change feed: Yes 
Metadata versioning: Yes 
SaaS: Yes   
Third-party integrations: Dbt, Great Expectations, and Prefect 
Supported data sources:  Airflow, Athena, AzureSQL, BigQuery, Clickhouse, Databricks, DeltaLake, Druid, DynamoDB, Fivetran, Glue, Hive, Kafka, Looker, MariaDB, MlFlow, MSSQL, MySQL, Oracle, Postgres, Presto, Redash, Redpanda, Redshift, Snowflake, Tableau, and Vertica 




OpenMetadata
Website | GitHub


OpenMetadata is the all-in-one platform for data collaboration, discovery, governance, lineage, and quality that lets you focus on building and analyzing.



Based on Open Standard
Search-based
Network-based
Lineage-based
Federation
ML 1st Citizen
Data Quality
End-to-end Lineage
Observability
Column-level lineage
Data collaboration




✔️
✔️
✔️
✔️
✔️
✔️
✔️
✔️
❌
✔️
✔️




More features


Strategy: Push/Pull 
UX personalization: No  
Rich data profiling: Yes 
Data collaboration: Yes 
Schemas, Description: Yes
Complex schemas: Yes 
Data preview: Yes 
Column statistics: Yes 
Data owner: Yes 
Change notifications: Yes 
Change feed: Yes 
Metadata versioning: Yes 
SaaS: Yes   
Third-party integrations: Dbt, Great Expectations, and Prefect 
Supported data sources: Airbyte, Airflow, Athena, AzureSQL, BigQuery, Clickhouse, Dagster, Databricks, DB2, DeltaLake, Druid, DynamoDB, Fivetran, Glue, Glue, Hive, Kafka, Looker, MariaDB, Metabase, MlFlow, Mode, MSSQL, MySQL, NiFi, Oracle, Postgres, PowerBI, Presto, Redash, Redpanda, Redshift, Salesforce, SingleStore, Snowflake, Superset, Tableau, Trino, and Vertica 




Meta#Grid
Website | GitHub | Docs


Meta#Grid is an open source data catalog for metadata management. It is designed to help small and large organizations create an inventory of their data silos and connect between different technologies. Through a multi-client system, with granular permissions system, Meta#Grid can be used in consulting companies (with diverse clients and projects) as well as in data mesh organizations. It grows with the requirements of the demand.



Based on Open Standard
Search-based
Network-based
Lineage-based
Federation
ML 1st Citizen
Data Quality
End-to-end Lineage
Observability
Column-level lineage
Data collaboration




❌
✔️
❌
✔️
❌
❌
not yet
❌
❌
❌
✔️




More features


Strategy: Push, Pull 
UX personalization: No 
AI autowiring: No 
Rich data profiling:  No 
Recommendations: Yes 
Schemas, Description: Yes
Complex schemas: Yes 
Data preview: No 
Column statistics: No 
Data owner: Yes
Top data users: No 
Change notifications: Yes 
Change feed: Yes 
Deployment:   
Supported data sources: Hive, Redshift, Druid, RDBMS, Presto, Snowflake 




Grai
Website | GitHub | Docs





Based on Open Standard
Search-based
Network-based
Lineage-based
Federation
ML 1st Citizen
Data Quality
End-to-end Lineage
Observability
Column-level lineage
Data collaboration




Grai Schemas
✔️
❌
✔️
❌
✔️
✔️
❌
❌
✔️
✔️




More features


Strategy: Push, Pull
Customizable metadata model: Yes. The metadata model can be flexibly extended or modified as needed. 
Rich data profiling: No  
Recommendations: No 
Schemas, Description: Yes 
Complex schemas: Yes 
Data preview: No 
Column statistics: No 
Data owner: Yes 
Top data users: No 
CI Integration: Yes 
Lineage impact analysis: Yes 
Change notifications: Yes 
Change feed: Yes 
Automation: Yes 
UX personalization: Yes  
Deployment: docker-compose / Kubernetes with Helm, or using Grai SaaS offering  
Supported data sources:
  
    Snowflake
    BigQuery
    Redshift
    Postgres
    MySQL
    dbt
    Slack
    ... many others see the docs for a full list.
  





📕 Proprietary Data Catalogs

Collibra
Website | GitHub
Collibra is an enterprise data catalog that helps to discover and understand data that matters and drive impactful insights from it.



Based on Open Standard
Search-based
Network-based
Lineage-based
Federation
ML 1st Citizen
Data Quality
End-to-end Lineage
Observability
Column-level lineage
Data collaboration




❌
✔️
?
✔️
❌
❌
?
❌
❌
❌
❌




More features


Strategy: Push 
UX personalization: Yes 
AI autowiring: ? 
Network-based: No 
Rich data profiling: ? 
Supported data sources:  




Informatica
Website | GitHub
Informatica is an enterprise data catalog that provides AI-powered data discovery engine to scan and catalog data assets.



Based on Open Standard
Search-based
Network-based
Lineage-based
Federation
ML 1st Citizen
Data Quality
End-to-end Lineage
Observability
Column-level lineage
Data collaboration




❌
✔️
✔️
✔️
❌
❌
✔️
❌
❌
?
❌




More features


Strategy: Push 
UX personalization: ? 
AI autowiring: ? 
Network-based: Yes 
Rich data profiling: Yes 
Supported data sources:  


 

Alation
Website | GitHub
Alation is a collaborative data catalog that helps companies to drive value and business impact from their data.



Based on Open Standard
Search-based
Network-based
Lineage-based
Federation
ML 1st Citizen
Data Quality
End-to-end Lineage
Observability
Column-level lineage
Data collaboration




❌
✔️
❌
✔️
❌
❌
✔️
❌
❌
❌
❌




More features


Strategy: Push 
UX personalization: Yes 
AI autowiring: No 
Network-based: No 
Rich data profiling: No 
Supported data sources:  




Atlan
Website | GitHub
Atlan is a modern data catalog offering data discovery, data profiling, data quality, data lineage and data governance.



Based on Open Standard
Search-based
Network-based
Lineage-based
Federation
ML 1st Citizen
Data Quality
End-to-end Lineage
Observability
Column-level lineage
Data collaboration




❌
✔️
❌
✔️
❌
❌
✔️
❌
❌
✔️
✔️




More features


Strategy: Pull 
UX personalization: ? 
AI autowiring: ? 
Network-based: No 
Rich data profiling: ? 
Supported data sources: Presto, Deequ, Atlas, Airflow, Hudi  




DataGalaxy
Website | GitHub
DataGalaxy is a modern data catalog offering data discovery, data profiling, data quality, data lineage and data governance.



Based on Open Standard
Search-based
Network-based
Lineage-based
Federation
ML 1st Citizen
Data Quality
End-to-end Lineage
Observability
Column-level lineage
Data collaboration




❌
✔️
✔️
✔️
❌
❌
❌
✔️
✔️
?
?




More features


Strategy: Pull & Push 
UX personalization: Yes  
AI autowiring: Yes 
Network-based: Yes 
Rich data profiling: Yes 
Supported data sources: [Available connectors](https://www.datagalaxy.com/fr/integrations-connecteurs/) 




Stemma
Website
Stemma is a fully managed data catalog powered by the open-source data catalog Amundsen that helps data teams have total trust in their data.



Based on Open Standard
Search-based
Network-based
Lineage-based
Federation
ML 1st Citizen
Data Quality
End-to-end Lineage
Observability
Column-level lineage
Data collaboration




❌
✔️
✔️
✔️
❌
❌
?
✔️
❌
❌
❌




More features


Strategy: Push 
UX personalization: No 
AI autowiring: No 
Network-based: No 
Rich data profiling: No 
Supported data sources:  




Talend
Website | GitHub
Talend is a data catalog that helps enterprises power critical business descisions with trusted data.



Based on Open Standard
Search-based
Network-based
Lineage-based
Federation
ML 1st Citizen
Data Quality
End-to-end Lineage
Observability
Column-level lineage
Data collaboration




❌
✔️
?
✔️
❌
❌
✔️
❌
❌
❌
❌




More features


Strategy: Push 
UX personalization: Yes 
AI autowiring: ? 
Network-based: ? 
Rich data profiling: Yes 
Supported data sources:  




Select Star
Website
Select Star is an intelligent data discovery platform that automatically analyzes and documents your data. Select Star provides an easy to use data portal that everyone can use to find and understand data.



Based on Open Standard
Search-based
Network-based
Lineage-based
Federation
ML 1st Citizen
Data Quality
End-to-end Lineage
Observability
Column-level lineage
Data collaboration




❌
✔️
✔️
✔️
✔️
❌
❌
✔️
❌
✔️
✔️




More features


Strategy: Pull 
AI autowiring: Yes
Network-based: Yes
Rich data profiling: No
ER Diagram generation: Yes
Role & Policy based access control: Yes
Popularity & usage: Yes 
Description & Tag propagation: Yes 
Data preview: Yes 
Data owners: Yes
Top data users: Yes 
UX personalization: No
Supported data sources:
  
    Snowflake
    BigQuery
    Redshift
    Postgres
    Looker
    PowerBI
    Tableau
    Mode
    Sigma
    Sisense
    Metabase
    Looker Studio
    DBT Cloud & Core
    Slack
  





📒 Monocloud Data Catalogs

Google Cloud Data Catalog
Website | GitHub
Google Cloud Data Catalog is a fully managed, scalable metadata management service in Google Cloud's Data Analytics family of products.



Based on Open Standard
Search-based
Network-based
Lineage-based
Federation
ML 1st Citizen
Data Quality
End-to-end Lineage
Observability
Column-level lineage
Data collaboration




❌
✔️
❌
✔️
❌
❌
?
❌
❌
❌
❌




More features


Strategy: Pull 
UX personalization: ? 
AI autowiring: ? 
Network-based: No 
Rich data profiling: No 
Supported data sources:  




Azure Data Catalog
Website
Azure Data Catalog is a fully managed, enterprise-wide metadata catalog that makes data asset discovery straightforward.



Based on Open Standard
Search-based
Network-based
Lineage-based
Federation
ML 1st Citizen
Data Quality
End-to-end Lineage
Observability
Column-level lineage
Data collaboration




❌
✔️
?
✔️
❌
❌
?
❌
❌
❌
❌




More features


Strategy: Pull 
UX personalization: ? 
AI autowiring: ? 
Network-based: ? 
Rich data profiling: ? 
Supported data sources:  




🔍 Data Observability Platforms

DataKitchen Open Source Data Observability
Website
DataKitchen's Open Source Data Observability Products are full featured with Apache 2.0 license. Data breaks. Servers break. Your toolchain breaks. Ensure your team is the first to know and the first to solve with visibility across and down your data estate. Save time with simple, fast data quality test generation and execution. Trust your data, tools, and systems end to end.



Based on Open Standard
Search-based
Network-based
Lineage-based
Federation
ML 1st Citizen
Data Quality
End-to-end Lineage
Observability
Column-level lineage
Data collaboration




✔️
✔️
✔️
✔️
✔️
✔️
✔️
✔️
✔️
❌
✔️




More features


Strategy: Full featured, with UI for singlue user.  Enterprise version for teams 
UX personalization: No  
AI autowiring: DataOps TestGen data quality verification tool that does five main tasks: (1) data profiling, (2) new dataset screening and hygiene review, (3) AI/algorithmic generation of data quality validation tests, (4) ongoing production testing of new data refreshes and (5) continuous periodic monitoring of datasets for anomalies  
Network-based: Data Journey based 
Rich data profiling: 51 characteristics, with UI  
Supported data sources: Snowflake, Redshift, Tableau, Synapse, Postgres, Tableau, PowerBI, Airflow, Fivetran, Databricks, dbt,  Databricks
Azure Data Factory, SSIS, Synapse Pipelines, ADF-managed Airflow, Google Composer, AWS S3, Qlik Sense, Amazon Managed Workflows for Apache Airflow, Talend Cloud, Azure Functions (via Event Hub), Azure ADLS/Blob Storage (via Event Hub)



Monte Carlo
Website
Monte Carlo is a data observability tool that helps to increase trust in data by eliminating or preventing data downtime.



Based on Open Standard
Search-based
Network-based
Lineage-based
Federation
ML 1st Citizen
Data Quality
End-to-end Lineage
Observability
Column-level lineage
Data collaboration




❌
✔️
❌
✔️
❌
❌
✔️
❌
✔️
❌
❌




More features


Strategy: Pull 
UX personalization: ? 
AI autowiring: ? 
Network-based: ? 
Rich data profiling: ? 
Supported data sources: Snowflake, Hive, Kafka, Looker, Redshift, Tableau, Big Query, Airflow, Fivetran, Presto, Mode, Periscope, Databricks, Glue, dbt, Chartio, Spark, AWS, S3, data.world, Google Cloud Platform 




Databand
Website | GitHub
Databand is an observability platform that helps data engineers identify and troubleshoot pipeline issues and data quality problems.



Based on Open Standard
Search-based
Network-based
Lineage-based
Federation
ML 1st Citizen
Data Quality
End-to-end Lineage
Observability
Column-level lineage
Data collaboration




❌
?
?
?
❌
?
?
?
✔️
?
?




More features


Strategy: Push 
UX personalization: ? 
AI autowiring: ? 
Network-based: ? 
Rich data profiling: ? 
Supported data sources:  




Datafold
Website | GitHub
Datafold is a data monitoring and observability platform that gives you confidence in your data quality through diffs, profiling, and anomaly detection.



Based on Open Standard
Search-based
Network-based
Lineage-based
Federation
ML 1st Citizen
Data Quality
End-to-end Lineage
Observability
Column-level lineage
Data collaboration




❌
✔️
✔️
✔️
❌
❌
✔️
❌
✔️
?
?




More features


Strategy: Push 
UX personalization: ? 
AI autowiring: ? 
Network-based: ? 
Rich data profiling: ? 
Supported data sources:  


 

Ataccama
Website | GitHub
Ataccama is an enterprise data catalog and observability tool featuring data profiling and data quality management, designed for data professionals.



Based on Open Standard
Search-based
Network-based
Lineage-based
Federation
ML 1st Citizen
Data Quality
End-to-end Lineage
Observability
Column-level lineage
Data collaboration




❌
✔️
❌
✔️
❌
❌
✔️
❌
❌
❌
❌




More features


Strategy: Pull 
UX personalization: Yes 
AI autowiring: No 
Network-based: No 
Rich data profiling: Yes 
Supported data sources:  



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