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DataHub Cloud vs Grai

DataHub Cloud

datahub.com

Grai

grai.io

Side by side

FigureDataHub CloudGrai
Price from—Free
Free plan—Yes
Free trialYes—
Open source——
WebYesYes
Linux—Yes
APIYesYes
Self-hosted—Yes
Plans published11
Spec score · Data Lineage Tools7.6 (#17)8.3 (#7)
HeadquartersPalo Alto, CaliforniaSt. Louis, Missouri, United States
IntegrationsThe connector directory lists more than 150 data and AI integrations, including BigQuery, Databricks, dbt, Snowflake, Tableau, and Airflow.Listed connectors include Snowflake, BigQuery, Redshift, Postgres, MySQL, SQL Server, dbt, Fivetran, flat files, Metabase, and Looker (alpha).
Intended usersThe lineage page describes use cases for data analysts, data engineers, data scientists, and data governance teams.Grai is presented for people who need to trace and test data relationships across data systems and applications.
PurposeDataHub Cloud automatically captures data lineage and shows downstream impact in real time.Grai describes itself as a data lineage tool for understanding and testing how data relates across databases, warehouses, APIs, and dashboards.
SecurityThe security page says customer data is encrypted at rest and in transit, with AWS KMS used to manage encryption keys.Grai’s privacy policy says it uses commercially acceptable means to protect personal data but cannot guarantee absolute security.
SupportThe Cloud vs. Core page says DataHub Cloud customers receive onboarding, multi-team training, adoption support, a dedicated customer success team, and a private Slack support channel.The repository lists [email protected] for contact and points users to Slack and a community roadmap for requests and bug reports.

Plans

DataHub Cloud

  • DataHub CloudPriced on request

DataHub Cloud pricing →

Grai

  • Grai CloudFree

Grai pricing →

In their own words

DataHub Cloud

DataHub Cloud has no write-up on Specifiction yet; its figures are above.

Visit datahub.com

Grai

Grai is a data lineage tool for tracing and testing relationships among databases, warehouses, APIs, and dashboards. It can automatically build column-level lineage across warehouses and production services. Centralized validation tests run when upstream data sources change, and GitHub Actions can alert CI/CD workflows when production changes affect warehouses or dbt projects. Listed connectors include Snowflake, BigQuery, Redshift, Postgres, MySQL, SQL Server, dbt, Fivetran, flat files, Metabase, and Looker; the Looker connector is marked alpha. Grai describes itself as open source and self-hostable, with Docker Compose and Kubernetes examples and Helm charts. Grai Cloud is available to run for free. The frontend is a React web application, and the CLI is a Python client for the Grai server. The repository lists an MIT-0 license. The privacy policy says Grai collects email addresses, cookies, and usage data, and names AWS and Google Cloud Platform among its service providers. It says commercially acceptable measures are used to protect personal data but cannot guarantee absolute security. The repository lists [email protected] and points to Slack and a community roadmap for requests and bug reports.

Visit grai.io