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Acryl DataHub

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.

Learn how Notion uses Acryl DataHub
Discover

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.

Trace End-to-End Lineage

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

View Metadata 360 at a Glance

Capture historical Data Validation Outcomes from tools like Great Expectations and dbt Tests.

Govern

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.

Monitor and Test Governance Standards

Manage Entity Ownership

Quickly and easily assign entity ownership to users and user groups.

Manage Entity Ownership

Govern with Tags, Glossary Terms, and Domains

Empower data owners to govern their data entities with:

  1. Tags: Informal, loosely controlled labels that serve as a tool for search & discovery. No formal, central management.
  2. Glossary Terms: A controlled vocabulary with optional hierarchy, commonly used to describe core business concepts and measurements.
  3. Domains: Curated, top-level folders or categories, widely used in Data Mesh to organize entities by department (i.e., Finance, Marketing) or Data Products.
Govern with Tags, Glossary Terms, and Domains

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.

Notify Stakeholders of Important Changes
Administer

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
Create Users, Groups, & Access Policies

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.

Ingest Metadata from the UI
Integrate

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.

Dataset Sources
Athena
BigQuery
Druid
Elasticsearch
Hive
Kafka Metadata
MongoDB
Microsoft SQL Server
MySQL
Oracle
PostgreSQL
Redshift
s3
Snowflake
Spark / Databricks
Trino FKA Presto
Clickhouse
Delta Lake
Iceberg
MariaDB
Vertica
BI Tools
Business Glossary
Looker
Redash
Superset
Grafana
Metabase
Mode
PowerBI
Tableau
Orchestration
Airflow
Nifi
ML
Feast
Sagemaker
ETL / ELT
dbt
Glue
Data Quality
Great Expectations
Get started with Acryl today.
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