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Overview

Prizm connects to a broad range of data sources, orchestration tools, BI platforms, and third-party systems. Each connector enables Prizm to discover assets, extract lineage, monitor quality, and surface observability signals from that source.

Supported Sources

Cloud Data Warehouses & Lakehouses

Snowflake

Deep integration with native query log lineage, query history, and schema discovery.

Databricks

Unified platform support for Delta Lake, Unity Catalog, and Databricks SQL.

BigQuery

Google BigQuery metadata, tags, Data Lineage API and job-log lineage, and usage.

SQL Server

Microsoft SQL Server and Azure SQL Database integration.

Oracle

Oracle Database on-premises, self-hosted, and on Oracle Cloud Infrastructure.

SAP HANA

SAP HANA on-premises, self-hosted, and SAP HANA Cloud: tables, columns, and quality.

Azure Synapse

Dedicated and serverless SQL pools: metadata, quality, and lineage.

Salesforce Data Cloud

Data lake and data model objects, calculated insights, and native lineage.

Cloud Storage

ADLS — Azure Data Lake Storage

Azure Data Lake Storage Gen2 with hierarchical namespace and file-level lineage.

Data Transformation & Pipeline Tools

dbt

Parse dbt manifests for model-level lineage, tests, and documentation sync.

Apache Airflow

DAG discovery, task-level lineage, and execution metadata from Airflow deployments.

Azure Data Factory

Read-only observability for ADF pipelines, runs, failures, and metrics.

BI & Visualization Tools

Sigma Computing

Workbook, page, and dataset discovery with end-to-end lineage from warehouse tables.

Tableau

Workbook and datasource discovery with field-level lineage back to source tables.

Power BI

Dataset, report, and dashboard lineage with semantic model integration.

Connector Architecture

All Prizm connectors share a common architecture:

Connection Types


Adding a New Source

1

Open the Source page

Click Source in the top navigation, then click the + icon next to the source list.
2

Select Source Type

On the Select your Source page, choose a connector tile. Use the All, Data warehouse, Data lake, Pipeline, and BI filters or the Search connector box to narrow the grid, then provide connection credentials.
The Select your Source page with the connector grid and filters

Select your Source: connector grid with category filters and search

3

Configure Discovery Scope

Define which databases, schemas, and tables to include in Prizm’s catalog.
4

Run Initial Discovery

Trigger the first asset discovery run to populate the catalog with metadata and lineage.
5

Configure Profiling Schedule

Set profiling frequency, run scope (full, incremental, sampling), and alert thresholds.