DataHub Adoption Stories
Learn how the best data and AI teams are using DataHub
Check out more stories on the DataHub Youtube.
"DataHub gave us the extensibility features we needed to define new entity types easily and augment existing ones. DataHub performed exceptionally well in managing our traffic load and data volume. It offers a great developer experience, a well-documented taxonomy, and — very importantly — solid community support."
— Ajoy Majumdar, Software Architect at Netflix
"We found DataHub to provide excellent coverage for our needs. What we appreciate most about DataHub is its powerful API platform."
— Jean-Pierre Dijcks, Sr. Dir. Product Management at VISA
Discover how DataHub provides a solid foundation for observability, governance, and data sharing, while we explore its role in managing AI and data metadata.
"We rely on Acryl to gain insights and ensure our critical data is reliable. Acryl’s managed product takes DataHub to the next level through automation and emphasis on time-to-value."
— Ada Draginda, Senior Data Engineer at Notion
“DataHub’s event driven architecture provides us a mechanism to act on any metadata changes in real time. This allows us to perform various actions like provisioning access to a data product, notifying consumers on any schema changes that may affect their application or triggering data movement jobs to move data from source to sink platforms.”
Pinterest adopted a DataHub project to enhance metadata management for its big data query platform, facilitating better data navigation and understanding.
Airtel is a leading global telecommunication provider. DataHub is the bedrock of Data Mesh at Airtel by providing the requisite governance and metadata management functionality to ensure their Data Products are discoverable, addressable, trustworthy, self-describing, and secure.
Get a closer look at how the Airtel team has successfully integrated DataHub to take their data mesh implementation to the next level.
Get a closer look at how the Airtel team has successfully integrated DataHub to take their data mesh implementation to the next level.
“DataHub aligns with our needs [for] data documentation, a unified search experience, lineage information, and additional metadata. We are also very impressed with the vibrant and supportive community.”
“We looked around for data catalog tool, and DataHub was a clear winner.”
Zynga levels up data management using DataHub, highlighting its role in enhancing data management, tracing data lineage, and ensuring data quality.
Zynga levels up data management using DataHub, highlighting its role in enhancing data management, tracing data lineage, and ensuring data quality.
"Leveraging our Datahub catalog, we have centralized metadata access for all data products. This integration eliminates the dependency on Airflow metadata alone for defining contracts, enabling flexible definitions for both building blocks and business metrics."
"After evaluating several options (...) we chose DataHub as the control plane for our data platform and partnered with Acryl Data, which offers DataHub Cloud, a premium hosted version of DataHub. (...) Another important thing that worked in DataHub’s favor is the rich and flexible taxonomy it offered for modeling the various aspects of a data platform."
"The DataHub data catalog significantly supported our AI/ML team’s efforts by offering seamless access to detailed column descriptions and table schemas through its APIs. This comprehensive data accessibility enabled the team to efficiently develop a text-to-SQL tool, which translates natural language queries into SQL commands."
“At Chime, DataHub serves as our guide for navigating the complexities of data cataloging and discovery.”
Chime uses Datahub (DataHub Cloud) for ingesting metadata from diverse infrastructure components like Snowflake, Looker, Terraform, and so many others.
Chime uses Datahub (DataHub Cloud) for ingesting metadata from diverse infrastructure components like Snowflake, Looker, Terraform, and so many others.
Discover how Checkout leverage DataHub for advanced data management and compliance, especially in managing sensitive data types.
"Before bringing Acryl on board, MYOB’s data teams would see multiple breaking changes per week...Acryl has helped us significantly reduce the number of breaking changes, to the extent that they are no longer a burden on all teams."
— Asad Naveed, Engineering Manager at MYOB
DPG Media used DataHub Cloud to identify and safely retire redundant assets from their data warehouse, reducing costs by 25%.
DataHub Cloud is used to bring federated governance to the data mesh architecture at DPG Media.
DataHub Cloud is used to bring federated governance to the data mesh architecture at DPG Media.
Europe’s #1 consumer electronics retailer implemented DataHub for three reasons:
1. DataHub provides an extremely flexible and customizable metadata platform at scale.
2. Open-source means lower cost to implement and removes the headache of license management.
3. Community-driven project which continually evolves with industry trends and best practices.
1. DataHub provides an extremely flexible and customizable metadata platform at scale.
2. Open-source means lower cost to implement and removes the headache of license management.
3. Community-driven project which continually evolves with industry trends and best practices.
“DataHub allows us to solve the data discovery problem, which was a big challenge in our organization, and now we are solving it.”
“[DataHub] has made our legal team very happy with being able to keep track of our sensitive data [to answer questions like] Where’s it going? How’s it being processed? Where’s it ending up? Which third party tool or API’s are we sending it to and why? Who is responsible for this integration?”
“The key evaluation metric for selecting DataHub was the approachability and technical capabilities of its leading development team.”
Geotab’s data adoption journey explores challenges in data management, governance, and the decision to utilize DataHub for improved productivity and collaboration.
Geotab’s data adoption journey explores challenges in data management, governance, and the decision to utilize DataHub for improved productivity and collaboration.
“The main points that drove our decision to implement DataHub were its user-friendly interface, active and receptive community, contribution opportunities, and built-in ingestion sources for our primary services.”
Hurb implemented DataHub to enhance data governance, streamline data access, and improve decision-making through a structured integration process.
Hurb implemented DataHub to enhance data governance, streamline data access, and improve decision-making through a structured integration process.
Grofers provides a closer look into how their team has leveraged DataHub as the source of truth for data governance.
Viasat highlights why they chose DataHub over other open source and commercial technologies and their plans with it.