DataHub Adoption Stories
Learn how the best data and AI teams are using DataHub
Check out more stories on the DataHub Youtube.
For:
"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
“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.”
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.
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.”
Pinterest adopted a DataHub project to enhance metadata management for its big data query platform, facilitating better data navigation and understanding.
“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?”
“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.
“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.
Saxo Bank adopted DataHub to enhance data quality and streamline governance, facilitating efficient data management through self-service capabilities.
By integrating Apache Kafka and Snowflake with DataHub, the bank embraced Data Mesh principles to democratize data, support rapid growth, and improve business processes.
By integrating Apache Kafka and Snowflake with DataHub, the bank embraced Data Mesh principles to democratize data, support rapid growth, and improve business processes.
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.