Integrated Data Governance and Observability
Connect to your data sources within minutes, gain end to end visibility.
Bring data and business teams together with a single source of truth.
Power mission critical workflows with a SOC-2 compliant platform.
Acryl Observe
Introducing Acryl Observe
Acryl Observe joins best-in-class capabilities for data discovery and governance, offering a unified view into data quality for both business users and data teams.
Driven by a central metadata control plane, Acryl Observe continuously detects data quality incidents in real-time. Automate anomaly detection to prevent breakages and drive faster resolution when they do occur.
Sign up for Acryl Observe →
Acryl DataHub
Search All Corners of Your Data Stack
DataHub's unified search experience surfaces results across databases, data lakes, BI platforms, ML feature stores, orchestration tools, and more.
Trace End-to-End Lineage
Quickly understand the end-to-end journey of data by tracing lineage across platforms, datasets, ETL/ELT pipelines, charts, dashboards, and beyond.
Understand the Impact of Breaking Changes on Downstream Dependencies
Proactively identify which entities may be impacted by a breaking change using Impact Analysis.
View Metadata 360 at a Glance
Combine technical, operational and business metadata to provide a 360º view of your data entities.
Generate Dataset Stats to understand the shape & distribution of the data
Capture historical Data Validation Outcomes from tools like Great Expectations and dbt Tests.
Modern Data Governance
Monitor and Test Governance Standards
Metadata Tests allow you to define and continuously evaluate a set of conditions on the most important data assets in your company.
Manage Entity Ownership
Quickly and easily assign entity ownership to users and user groups.
Govern with Tags, Glossary Terms, and Domains
Empower data owners to govern their data entities with:
- Tags: Informal, loosely controlled labels that serve as a tool for search & discovery. No formal, central management.
- Glossary Terms: A controlled vocabulary with optional hierarchy, commonly used to describe core business concepts and measurements.
- Domains: Curated, top-level folders or categories, widely used in Data Mesh to organize entities by department (i.e., Finance, Marketing) or Data Products.
Quickly Create, Edit, or Delete Glossary Terms
Keep up with your rapidly evolving business by easily defining, editing, or removing Glossary Terms with a few clicks of a button.
Empower Everyone to Propose Tags or Terms with the Right Approval Flows
Rest assured that your Tags and Terms are associated with the correct entities by creating approval flows. This empowers your stakeholders to align data assets with business terms with appropriate checks in place.
Create and Resolve Incidents To Alert Stakeholders of Data-Related Issues
Seamlessly communicate known issues and their outcomes by creating Incidents to keep your stakeholders informed.
Notify Stakeholders of Important Changes
Configure Slack notifications to alert stakeholders of changes to deprecation statuses, schema fields added to or removed from a dataset, and more.
Implementation & Support Services
Create Users, Groups, & Access Policies
DataHub admins can create Policies to define who can perform what action against which resource(s). When you create a new Policy, you will be able to define the following:
- Policy Type - Platform (top-level DataHub Platform privileges, i.e., managing users, groups, and policies) or Metadata (ability to manipulate ownership, tags, documentation, and more)
- Resource Type - Specify the type of resources, such as Datasets, Dashboards, Pipelines, and beyond
- Privileges - Choose the set of permissions, such as Edit Owners, Edit Documentation, Edit Links
- Users and/or Groups - Assign relevant Users and Groups; you can also assign the Policy to Resource Owners, regardless of which Group they belong
Ingest Metadata from the UI
Schedule metadata ingestion using the DataHub user interface. Get started within minutes to get your main data sources ingested. Apply “shift-left” practices to pre-enrich important metadata using ingestion transformers, support for dbt meta-mapping and other features.
Flexible integration models
DataHub has pre-built integrations with your favorite systems: Snowflake, BigQuery, dbt, Airflow, Looker, Kafka and many others. These connectors are battle-tested by the largest data catalog community and the community is continuously adding more integrations, so this list keeps getting longer and longer.
