Supported Connectors
Ataccama ONE offers a range of connectors allowing you to integrate with databases, cloud data warehouses, cloud storage, and business applications.
This article outlines the key capabilities supported by each connector, helping you understand which connectors are best suited for your specific use cases.
Catalog, edge processing, and lineage connectors
The following table shows which connectors support data processing, edge processing, and lineage, along with their available authentication methods.
These connectors can be used in Catalog, Data quality, and Reference data modules.
| Technology | Credentials | Data processing & catalog | Edge processing | Lineage |
|---|---|---|---|---|
Username and password |
✔ |
✔ |
✗ |
|
Username and password |
✔ |
✔ |
✗ |
|
Username and password |
✔ |
✔ |
✗ |
|
AWS access key, AWS assume role |
✔ |
✔ |
✗ |
|
Entra ID |
✔ |
✗ |
✗ |
|
Storage account access key |
✔ |
✗ |
✗ |
|
Username and password |
✔ |
✔ |
✗ |
|
Google services account key |
✔ |
✔ |
✔ |
|
OAuth credentials |
✔ |
✔ |
✗ |
|
Personal access token (PAT) |
✔ |
✔ |
✔ |
|
OAuth credentials |
✔ |
✗ |
✗ |
|
Driver-specific credentials |
✔ |
✔ |
✗ |
|
Google services account key |
✔ |
✗ |
✗ |
|
OAuth credentials |
✔ |
✗ |
✗ |
|
Username and password |
✔ |
✔ |
✗ |
|
Entra ID |
✔ |
✔ |
✔ |
|
Username and password |
✔ |
✔ |
✔ |
|
Username and password |
✔ |
✔ |
✗ |
|
Entra ID |
✔ |
✔ |
✗ |
|
OAuth credentials |
✔ |
✗ |
✗ |
|
Username and password |
✔ |
✗ |
✔ |
|
Username and password |
✔ |
✔ |
✗ |
|
Username and password |
✔ |
✔ |
✗ |
|
Entra ID |
✔ |
✗ |
✔ |
|
Reference data |
Integrated |
✔ |
✔ |
✗ |
Username, password, and token |
✔ |
✗ |
✗ |
|
OAuth credentials |
✔ |
✗ |
✗ |
|
Username and password |
✔ |
✔ |
✗ |
|
Snowflake OAuth credentials |
✔ |
✔ |
✗ |
|
Key-pair authentication |
✔ |
✔ |
✔ |
|
Entra ID |
✔ |
✔ |
✗ |
|
Username and password |
✔ |
✗ |
✗ |
|
Tableau credentials |
✔ |
✗ |
✔ |
|
Username and password |
✔ |
✗ |
✗ |
Pushdown processing
Currently, Snowflake and Databricks connections support pushdown execution.
For these connections, profiling jobs always run in pushdown and not in Ataccama’s runtime.
You can configure whether pushdown processing is used for DQ evaluation. To learn more, see Pushdown Processing and When to Use Pushdown for DQ Evaluation.
Data observability
Data observability supports the following connectors:
-
Apache Airflow with OpenLineage
-
dbt Core with OpenLineage
-
Dagster with OpenLineage
-
AWS Glue with OpenLineage
-
Azure Data Factory with OpenLineage
-
GCP Cloud Data Fusion with OpenLineage
For details, see Pipeline Monitoring.
Freshness monitoring can scan the following sources directly:
-
Databricks
-
Snowflake
-
PostgreSQL
-
Amazon Aurora PostgreSQL
-
MS SQL Server, including Azure SQL
-
BigQuery
-
Oracle
This list applies to source scanning only. Freshness monitoring can also cover other sources through pipeline monitoring. For details, see Freshness Monitoring.
Lineage
Some connectors are supported exclusively for lineage. For a complete list of lineage connectors, see Supported Technologies.
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