Supported datasources - Precisely Data Integrity Suite

Data Integrity Suite
Product
Spatial_Analytics
dis_mcp
Data_Integration
Data_Enrichment
Data_Governance
Precisely_Data_Integrity_Suite
geo_addressing_1
platform_spatial_analytics
Data_Observability
Data_Quality
dis_core_foundation
Services
Spatial Analytics
Precisely MCP
Data Integration
Data Enrichment
Data Governance
Geo Addressing
Data Observability
Data Quality
Core Foundation
ft:title
Data Integrity Suite
ft:locale
en-US
PublicationType
pt_product_guide
copyrightfirst
2000
copyrightlast
2026

Use this table to see which services (Catalog, Data Quality, Observability, Replication, Lineage) are supported for each datasource.

  • To catalog a datasource: refer to the Data Cataloging column.
  • To run Data Quality rules: refer to the Data Quality Rules and Pipeline column.
  • To view lineage only: refer to the Data Lineage column.

Learn how we build connectors

At Precisely, we understand that every organization's data landscape is unique. That is why we have developed a connector factory model, a strategic, scalable, and modular approach to building connectors that puts your priorities first.

This model is built on:

  • Reusable frameworks tailored by connector type

  • Capabilities provided by our technology partners that help us accelerate delivery

  • Collaborative, customer-driven prioritization processes

We work closely with customers to ensure we are focused on the connectors that matter most to their use case and business. If you do not see a connector you need in the matrix below, reach out - we are ready to listen and respond.

Relational Database Management Systems (RDBMS)

Table 1.
Datasource Data Cataloging Base connectivity Data Lineage Method of deployment
Data profiling and observability Data quality rules and pipeline Data Replication/ Integration
Apache Hive Yes N/A N/A N/A N/A On-premise
Apache Impala Yes N/A N/A N/A N/A On-premise
Amazon Redshift Yes No No No Yes Cloud
Yes Yes On-premise
Azure SQL server Yes No No No Yes Cloud
Yes Yes On-premise
Azure Synapse Analytics Yes No No No Yes Cloud
Yes Yes On-premise
Databricks Yes Yes Yes Yes Yes Cloud and On-premise
DB2 LUW Yes Yes Yes Yes Yes Cloud and On-premise
DB2 (z/OS) Yes Yes Yes Yes Yes Cloud and On-premise
DB2 iSeries Yes No No Yes Yes Cloud and On-premise
Google BigQuery Yes Yes Yes Yes Yes Cloud
Yes No No Yes No On-premise
Maria DB Yes N/A N/A N/A N/A On-premise
Microsoft SQL server Yes No No Yes Yes Cloud
Yes Yes On-premise
MySQL(Enterprise or Community) Yes No No No Yes Cloud and On-premise
Oracle Yes No No Yes Yes Cloud
Yes Yes On-premise
PostgreSQL Yes No No No Yes Cloud
Yes Yes On-premise
Snowflake Yes Yes Yes Yes Yes Cloud and On-premise
SAP HANA Yes Yes Yes No Yes On-premise
SAP Sybase Adaptive Server Enterprise (ASE) Yes No No N/A Yes Cloud
Yes Yes Yes On-premise
Teradata Yes N/A N/A N/A N/A On-premise
OpenAPI Yes N/A N/A N/A N/A On-premise
AWS Aurora MySQL Yes No No No Yes Cloud
AWS Aurora PostgreSQL Yes No No No Yes Cloud
AWS Athena Yes No No No Yes Cloud
Vertica SQL Data Warehouse Yes No No No Yes Cloud
Google Cloud Spanner Yes No No No Yes Cloud
Salesforce Yes No No No Yes Cloud
Denodo Virtual Dataport Yes No No No Yes Cloud
Druid Yes No No No Yes Cloud
Cloudera Data Platform Hadoop Hive Yes No No No Yes Cloud
Cloudera Hortonworks Hadoop Hive Yes No No No Yes Cloud
Google Cloud Platform (GCP) Hadoop Hive Yes No No No Yes Cloud
HPE Ezmeral Data Fabric Hadoop Hive Yes No No No Yes Cloud
IBM Informix Yes No No No Yes Cloud
IBM InfoSphere Federation Server Yes No No No Yes Cloud
SAS Library Yes No No No Yes Cloud
IBM Lotus Notes Yes No No No Yes Cloud
IBM Netezza Yes No No No Yes Cloud
IBM PureData System for Analytics Yes No No No Yes Cloud
Presto Yes No No No Yes Cloud
Teradata Yes No No No Yes Cloud
Teradata Vantage Yes No No No Yes Cloud
VMware Tanzu Greenplum Yes No No No Yes Cloud
Actian Vector (Vectorwise) Yes No No No Yes Cloud

For relational database datasources such as Amazon Redshift, Azure SQL Database, Google BigQuery, Oracle Database, and Snowflake, support includes data cataloging, with broader support for data profiling and observability, data quality rules and pipelines, and data lineage across most sources. Data replication and integration support varies by datasource.

File systems (Object stores)

Table 2.
Datasource Data Cataloging Base connectivity Data Lineage Method of deployment
Data profiling and observability Data quality rules and pipeline Data Replication/ Integration
Azure Data Lake Storage (Gen2)*Preview Yes Yes Yes No Yes On-premise
Amazon S3 Yes Yes Yes No Yes On-premise

Data Integrity Suite supports two primary object storage systems: Azure Data Lake Storage (Gen2), which is currently in Preview, and Amazon S3. Both platforms support data cataloging, data profiling and observability, data quality rules and pipelines, data lineage, and on-premise deployments. Data replication and integration are not available for these file systems.

Preview: This feature is currently in Preview for select workspaces and might be subject to change before general availability.

File (types)

Table 3.
Datasource Data Cataloging Base connectivity Data Lineage Method of deployment
Data profiling and observability Data quality rules and pipeline Data Replication/ Integration
CSV Yes No No No N/A On-premise
Parquet Yes No No No N/A On-premise
JSON Yes No No No N/A On-premise
Delta tables* Preview Yes No No No N/A On-premise

These file types are supported by the file systems listed above: Azure Data Lake Storage (ADLS) and Amazon S3. You can catalog and sample these file types.

Extract, Transform, and Load (ETL)

Table 4.
Datasource Data Cataloging Base connectivity Data Lineage Method of deployment
Data profiling and observability Data quality rules and pipeline Data Replication/ Integration
AWS Glue Yes N/A N/A N/A N/A On-premise
Apache Kafka Yes N/A N/A N/A N/A On-premise
Azure Data Factory* Preview Yes N/A N/A N/A Yes Cloud and On-premise
Microsoft SQL Server Integration Services (SSIS) Yes N/A N/A N/A N/A Cloud
Microsoft Fabric Lakehouse* Preview Yes N/A N/A N/A Yes Cloud and On-premise
DBT Cloud Yes N/A N/A N/A Yes Cloud and On-premise
DBT Core Yes N/A N/A N/A N/A On-premise
Databricks Notebook Yes N/A N/A N/A Yes On-premise
AI Catalog* Preview Yes N/A N/A N/A Yes On-premise
SAS Data Integration Studio Yes N/A N/A N/A Yes On-premise
SAS Management Console Yes N/A N/A N/A Yes On-premise
Tableau Prep Builder Yes N/A N/A N/A Yes Cloud and On-premise
Talend Data Integration Yes N/A N/A N/A Yes On-premise
Talend Data Preparation Yes N/A N/A N/A Yes Cloud and On-premise
Teradata Database Parallel Transporter Script Yes N/A N/A N/A Yes On-premise
Alteryx Yes N/A N/A N/A Yes On-premise
Alteryx Repository Yes N/A N/A N/A Yes On-premise
Apache Airflow Yes N/A N/A N/A Yes On-premise
Apache Spark with Python or Scala Yes N/A N/A N/A Yes On-premise
Apache Sqoop Yes N/A N/A N/A Yes On-premise
Data Mapping Script Yes N/A N/A N/A Yes On-premise
Databricks Unified Data Services / Spark Yes N/A N/A N/A Yes On-premise
Google Cloud Data Fusion Yes N/A N/A N/A Yes Cloud and On-premise
IBM InfoSphere DataStage Yes N/A N/A N/A Yes On-premise
Informatica Big Data Management Developer Yes N/A N/A N/A Yes On-premise
Informatica Cloud Data Integration Yes N/A N/A N/A Yes Cloud and On-premise
Informatica Data Engineering Integration Developer Yes N/A N/A N/A Yes On-premise
Informatica PowerCenter Yes N/A N/A N/A Yes On-premise
Microsoft SQL Server Integration Services Repository Database Yes N/A N/A N/A Yes Cloud and On-premise
Oracle Data Warehouse Administration Console Yes N/A N/A N/A Yes Cloud and On-premise
Oracle Data Integrator Yes N/A N/A N/A Yes Cloud and On-premise
Pentaho Data Integration Yes N/A N/A N/A Yes On-premise
Qlik Replicate Yes N/A N/A N/A Yes Cloud and On-premise
SAP Data Services Yes N/A N/A N/A Yes Cloud and On-premise
SAS Base SAS Code Yes N/A N/A N/A Yes On-premise

For Extract, Transform, and Load (ETL) datasources such as AI Catalog, Azure Data Factory, SQL Server Integration Services, and dbt Cloud, support includes data cataloging and data lineage (except for SQL Server Integration Services). Capabilities such as data profiling and observability, data quality rules and pipelines, and data replication and integration are not supported for these datasources.

NoSQL

Table 5.
Datasource Data Cataloging Base connectivity Data Lineage Method of deployment
Data profiling and observability Data quality rules and pipeline Data Replication/ Integration
Azure Cosmos DB Yes N/A N/A N/A Yes Cloud and On-premise

NoSQL datasources such as Azure Cosmos DB, support is limited to data cataloging and data lineage. Capabilities such as data profiling and observability, data quality rules and pipelines, and data replication and integration are not supported for these datasources.

Business Intelligence (BI)

Table 6.
Datasource Data Cataloging Base connectivity Data Lineage Method of deployment
Data profiling and observability Data quality rules and pipeline Data Replication/ Integration
Azure Power BI Yes N/A N/A N/A Yes Cloud and On-premise
Google Looker Yes N/A N/A N/A Yes Cloud and On-premise
MS Power BI Report Server Yes N/A N/A N/A Yes On-premise
Microsoft SSRS (SQL Server Reporting Services) Yes N/A N/A N/A N/A Cloud
Qlik Sense Cloud Yes N/A N/A N/A Yes Cloud and On-premise
Microsoft SSAS Yes N/A N/A N/A N/A On-premise
IBM Cognos Content Manager QueryStudio Yes N/A N/A N/A Yes Cloud and On-premise
IBM Cognos Content Manager ReportStudio Yes N/A N/A N/A Yes Cloud and On-premise
Oracle Business Intelligence Repository Yes N/A N/A N/A Yes On-premise
SAS BI Visual Analytics Yes N/A N/A N/A Yes On-premise
Tableau Yes N/A N/A N/A Yes Cloud and On-premise
Sigma Server Yes N/A N/A N/A Yes Cloud and On-premise
ThoughtSpot Yes N/A N/A N/A Yes Cloud and On-premise
TIBCO Spotfire Server Yes N/A N/A N/A Yes Cloud and On-premise
IBM Cognos Content Manager Yes N/A N/A N/A Yes Cloud and On-premise
IBM Cognos Content Manager Packages Yes N/A N/A N/A Yes Cloud and On-premise
Oracle Analytics Server Yes N/A N/A N/A Yes Cloud and On-premise
Oracle Business Intelligence Enterprise Edition Yes N/A N/A N/A Yes Cloud and On-premise
Qlik Sense Server Yes N/A N/A N/A Yes Cloud and On-premise
Tableau Desktop Yes N/A N/A N/A Yes On-premise
TIBCO Spotfire Analyst (DXP Format) Yes N/A N/A N/A Yes On-premise
TIBCO Spotfire Binary Data (SBDF Format) Yes N/A N/A N/A Yes On-premise
TIBCO Spotfire Text Data (STDF Format) Yes N/A N/A N/A Yes On-premise
IBM Cognos Dashboard Yes N/A N/A N/A Yes On-premise
IBM Cognos Data Module Yes N/A N/A N/A Yes On-premise
IBM Cognos Framework Manager Yes N/A N/A N/A Yes On-premise
IBM Cognos QueryStudio Yes N/A N/A N/A Yes On-premise
IBM Cognos ReportStudio Yes N/A N/A N/A Yes On-premise
Oracle BI Answers Yes N/A N/A N/A Yes On-premise
Oracle BI Publisher Data Model Yes N/A N/A N/A Yes On-premise
Oracle BI Publisher Report Yes N/A N/A N/A Yes On-premise
SAS Information Map Studio Yes N/A N/A N/A Yes On-premise

Business Intelligence (BI) datasources such as Microsoft Power BI, Google Looker, and Tableau, etc, support is limited to data cataloging and data lineage. Capabilities such as data profiling and observability, data quality rules and pipelines, and data replication and integration are not supported for these datasources.

Business Applications

Table 7.
Datasource Data Cataloging Base connectivity Data Lineage Method of deployment
Data profiling and observability Data quality rules and pipeline Data Replication/ Integration
Bloomberg Yes N/A N/A N/A N/A On-premise
Oracle JD Edwards EnterpriseOne Yes N/A N/A N/A N/A On-premise
Oracle E-Business Suite Yes N/A N/A N/A N/A On-premise
Oracle PeopleSoft Yes N/A N/A N/A N/A On-premise
Oracle Siebel Yes N/A N/A N/A N/A On-premise
SAP Business Warehouse Yes N/A N/A N/A N/A On-premise
SAP ERP Central Component Yes N/A N/A N/A N/A On-premise
SAP SuccessFactors Yes N/A N/A N/A N/A On-premise
Salesforce Yes N/A N/A N/A N/A On-premise
MS Dynamics 365* Preview Yes Yes Yes N/A N/A Cloud and On-premise
SAP Business Suite 4 HANA (S/4HANA), ECC, R/3 ERP Yes Yes Yes N/A Yes Cloud and On-premise
SAP ECC, R/3 ERP Yes N/A N/A N/A Yes Cloud and On-premise

For business application datasources such as Microsoft Dynamics 365, and SAP S/4HANA, support is limited to data cataloging. Data profiling and observability, data quality rules and pipelines, data replication and integration, and data lineage are not supported for these datasources.

  • Base connectivity: Provides the core connectivity required for data ingestion and processing.
  • Yes* - Indicates limited feature support; select to view supported features.
  • No - Currently not supported.
  • N/A - Not Applicable
Preview: This feature is currently in Preview for select workspaces and might be subject to change before general availability.