Provenance
Provenance is an open source data lineage platform designed to help teams track data flows and audit changes across complex systems. It provides end-to-end visibility into pipelines and systems to help understand data journeys and enable governance.
data-lineage
data-governance
metadata-management
Provenance: Open Source Data Lineage Platform
Provenance is an open source data lineage platform designed to help teams track data flows and audit changes across complex systems. It provides end-to-end visibility into pipelines and systems to help understand data journeys and enable governance.
What is Provenance?
Provenance is an open source data lineage platform aimed at providing transparency and auditability into data pipelines. It allows users to track the origins and processing details of data as it moves through complex systems.
Some key capabilities and benefits of Provenance include:
- Automated capture of data pipelines and workflows - Provenance can auto-detect and record lineage information from systems like Spark, Kubernetes, AWS Batch etc.
- Graph data model representing lineages - Provenance stores lineage information as a graph allowing users to traverse and analyze relationships
- Integrations with schedulers and catalogs - Out-of-the-box support for tools like Apache Airflow, Prefect and Amundsen to incorporate scheduling and metadata context
- Custom metadata - Users can attach rich metadata to pipeline nodes and runs for additional context
- Auditing and compliance - Data governance teams can use Provenance to audit changes, check compliance, and debug issues
- Open source - Provenance is free and open source allowing teams to avoid vendor lock-in
Overall, Provenance aims to provide universal transparency into systems and pipelines to enable better data governance, auditing and trust. Its graph model and native support for modern data stacks makes it a useful lineage platform.
Provenance Features
Features
- Visualize data flows across systems
- Track data lineage from source to destination
- Audit logs to track changes to data
- Alerting for anomalous activity
- Granular access controls and permissions
- Integrations with common data tools and pipelines
- Open source and self-hosted option available
Pricing
- Open Source
- Freemium
- Subscription-Based
Pros
Improves understanding of data journeys and systems
Enables better data governance and compliance
Powerful visualizations make tracking lineage easy
Open source allows customization as needed
Cons
Can have significant overhead to instrument all data flows initially
Visualizations can become complex for large systems
Requires buy-in across teams to capture full value
Official Links
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