-

Hasura Introduces Industry-First Metadata-Driven Federated Data Access Layer for Streamlined Governance

Federated multi-team CI/CD, modularized multi-repo metadata, team-based governance, and new schema registry with tracking let teams iterate independently while ensuring compliance with centralized policies, an increasingly critical capability in the AI era

SAN FRANCISCO--(BUSINESS WIRE)--Data API and GraphQL leader Hasura today announced significant innovations that enable unified access to distributed data, governed by a central semantic and authorization framework. This solves one of the hardest problems facing businesses building AI features and products: connecting their LLM models to enterprise data, composed from multiple domains, while complying with governance and security policies. New capabilities that extend Hasura Data Delivery Network’s (DDN) metadata-driven API approach include modular metadata, multi-team CI/CD workflows, domain-level permissions on the federated API (supergraph), and a new schema registry and changelog.

“ESG research has shown that data access is the number one challenge for enterprises when managing data science lifecycles,” said Torsten Volk, Principal Analyst at ESG. “Increasingly stringent governance requirements and an increasing volume of GenAI workloads will further intensify the issue. Hasura’s ability to govern access to federated data based on a central set of declarative policies could significantly alleviate this issue by dynamically defining and continuously enforcing data access based on metadata describing relevant factors regarding the user’s identity, the current project, and the specific data being requested. This declarative approach being able to adapt to today’s glut of continuously new data sources sounds very exciting indeed.”

Hasura has long stood out for its metadata-driven approach to building fast, secure, and composable data APIs. This metadata, based on an open specification, declaratively models the domain, entities, relationships, and permissions as a semantic graph to be exposed via the API. It acts as a blueprint for the Hasura engine to compile incoming API requests into efficient distributed queries executed against upstream data sources. This metadata-driven method enhances governance in the data access layer – what you model is what you serve. Hasura can also generate this metadata by introspecting domains, further boosting productivity.

New capabilities introduced today extend the power of the metadata approach to federated, multi-team setups, enabling data federation and streamlining governance, a critical capability in the AI era. They include:

Modular, multi-repo metadata

The Hasura supergraph (unified API) is powered by metadata, which is like the blueprint for the API. Hasura DDN now features modularized metadata, enabling domain teams to manage and iterate on just their team’s metadata in independent repositories. Earlier versions of Hasura required multiple teams to manage metadata from a single repository. The introduction of modularized metadata lets teams enjoy all the benefits of metadata-driven APIs – such as automation, governance, and standardization – in a multi-domain environment.

Federated, multi-team CI/CD

A new, federated build and release framework enables each team to independently iterate on the metadata and publish their changes as domain-level builds. All builds are instantly validated within the supergraph context, flagging conflicts early and reducing wasted development cycles. Domain-level builds can be tested against any supergraph build, not just the production variant. Combined with instant preview, publish, and rollback capabilities, this brings unprecedented ease, fluidity, and speed to cross-domain collaboration on a unified access layer.

Hierarchical, domain-centric access control

A new decentralized authorization system, paired with the new federated development capabilities, enhances governance and control in multi-team setups. At the domain level, developers can evolve their metadata, create domain-level builds, and combine those builds with others to preview different supergraph versions. However, only domain admins can apply changes to the production supergraph, ensuring controlled updates without sacrificing autonomy and speed at the domain level.

Schema registry and changelog

A new schema registry simplifies schema evolution and management at both the team and central levels. It includes a powerful schema diff tool, accessible via the terminal or UI, that allows users to compare builds and identify safe, dangerous, and breaking changes. Paired with API analytics, this feature allows developers to understand the downstream impact of their changes, communicate effectively with impacted API consumers, and evolve their API safely and confidently.

“Despite all the advances in data storage, compute, and governance technologies, streamlined data access, especially across distributed domains, remains an elusive goal,” said Tanmai Gopal, co-founder and CEO of Hasura. “The innovations we are announcing today for Hasura DDN enable organizations of all sizes and skills to reap the benefits of federated data access patterns, powered by the supergraph architecture. This will accelerate all use cases, but will be especially beneficial for the plethora of GenAI use cases that are hindered by data access challenges.”

Hasura DDN is now generally available. For more information, visit www.hasura.io.

About Hasura

Hasura slashes the time, effort, and skills required to build, run, evolve, and federate a fast, secure, and composable API on all your data. By enabling self-serve API access to data, Hasura empowers companies of all sizes to ship faster, stay agile, and improve productivity. With 30,000+ GitHub stars, 600M+ downloads, and an open source core, Hasura is used by thousands of developers to speed up API development. Since its founding in 2017, Hasura has also seen rapid adoption across Fortune 500 corporations, fast-growing startups, and product development agencies. We are a globally distributed team, with offices in San Francisco and Bangalore. For more information, go to: https://hasura.io or follow @HasuraHQ on X.

Contacts

Wilson Craig
Mindshare PR
+1 408 516 6182
wilson@mindsharepr.com

Hasura


Release Versions

Contacts

Wilson Craig
Mindshare PR
+1 408 516 6182
wilson@mindsharepr.com

Social Media Profiles
More News From Hasura

Real-time Data Access Leader Hasura Names Cloud Software Veteran Executive Suku Krishnaraj Chief Operating Officer and President of Go-to-Market

SAN FRANCISCO--(BUSINESS WIRE)--The leader in real-time data access layer for AI and next-generation applications Hasura today announced it has named longtime cloud software leader Suku Krishnaraj to the positions of Chief Operating Officer and President of Go-to-Market. Krishnaraj, who brings 25 years of demonstrated success in scaling technology companies from startups to multi-billion-dollar enterprises, is responsible for all aspects of Hasura sales, marketing, post-sales and operations, re...

Hasura Supergraph Brings Unparalleled On-Demand Composability to APIs to Address Data and API Integration Challenges

SAN FRANCISCO--(BUSINESS WIRE)--Data API and GraphQL leader Hasura today announced the V3 of its platform, providing unparalleled on-demand API composability with a new domain-centric supergraph modeling framework, a distributed supergraph execution engine and a rich and extensible ecosystem of open source connectors to address the challenges faced during integration of data and APIs. The new platform also features a new build system, with instant API previews and rollback, and a redesigned con...

Hasura Achieves Google Cloud Ready - BigQuery and Cloud SQL

SAN FRANCISCO--(BUSINESS WIRE)--Hasura today announced that it has successfully achieved Google Cloud Ready - BigQuery Designation, and Google Cloud Ready - Cloud SQL Designation. Google Cloud Ready - BigQuery is a partner integration validation program that intends to increase the customer confidence in partner integrations into BigQuery. As part of this initiative, Google Cloud engineering teams validate partner integrations into BigQuery in a three phase process – run a series of data integr...
Back to Newsroom