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Hasura

Hasura provides a metadata-driven API platform that enables developers to create a universal data access layer, allowing applications to efficiently fetch data from various sources without extensive backend coding. This approach significantly reduces the time and effort required for API development, facilitating faster deployment and improved data governance.

Alo, IndiaFounded 201717510K+ followers
Updated 20 months ago

Funding

$136.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Developing and maintaining APIs for modern applications requires significant time and resources, especially when integrating data from diverse sources. This process often involves extensive backend coding, leading to slower deployment times and increased development costs.

Solution

Hasura provides a metadata-driven API platform that simplifies and accelerates the creation of a universal data access layer. The platform enables developers to efficiently fetch data from various sources without writing extensive backend code. By modeling the domain, developers automatically gain access to high-quality APIs, shifting developer focus from manual API coding to declarative domain modeling and business logic. The platform automates data governance, preventing API inconsistencies and coding errors, while also simplifying audits and reviews.

Target Audience

Hasura targets developers and engineering teams building next-generation applications and AI solutions who need to quickly and securely access data from multiple sources.

Features

  • Metadata-driven approach to API development, enabling low-code configuration and reducing manual coding efforts.
  • Unified semantic layer and federated query engine for composing data from any source via a single API.
  • Automated deployment on a global distributed infrastructure for performance, scalability, and reliability.
  • GraphQL API generation based on database schema.
  • Built-in dataloader abstractions for N+1 batching and cache priming.
  • Compatible with PostgreSQL, MySQL, MongoDB, and other popular databases.
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