Deploy Docker Registry on your own server.

PocketBase is a powerful backend solution for your next SaaS or Mobile app. It is designed to be ready to use out of the box, providing a realtime database, user authentication, file storage, and an admin dashboard all in one file. The realtime database is embedded and performant, featuring a schema builder, data validations, realtime subscriptions, and an easy-to-use REST API. The authentication feature allows you to manage your app users and handle email/password and OAuth2 sign ups from various platforms like Google, Facebook, GitHub, GitLab without any hassle. The file storage feature allows you to store files locally or in an S3 storage, attach media to your database records, and generate thumbnails on the fly. PocketBase is extendable and can be used as a standalone app or as a Go framework, which you can extend via hooks to create your own custom portable backend. It also provides official client SDKs for seamless integration.

Hasura is a powerful Data API Platform that automates the process of building, securing, optimizing, and deploying GraphQL and REST APIs. It eliminates the need for manual API creation, enabling developers to generate APIs effortlessly by connecting to existing databases. This results in rapid, scalable application development. Hasura is compatible with a variety of popular databases, including PostgreSQL, MySQL, and MongoDB, allowing you to build GraphQL APIs on top of your existing databases. It also provides comprehensive tools to secure APIs beyond authentication and authorization. With Hasura, you can accelerate the development of new applications or add new features to an existing application in days instead of weeks. It also helps in fast-tracking cloud migration, frontend and backend modernization, and application re-architecture projects by automating 80% of your API development work.

Qdrant is a powerful vector database and vector similarity search engine designed to power the next generation of AI applications. It deploys as an API service, providing search for the nearest high-dimensional vectors. This allows embeddings or neural network encoders to be turned into full-fledged applications for matching, searching, recommending, and much more. Qdrant supports a large variety of data types and query conditions, including string matching, numerical ranges, geo-locations, and more. It is cloud-native and scales horizontally, ensuring efficient utilization of resources. With Qdrant, you can build and deploy semantic neural search on your data in minutes, understand user behavior in real time, and find similar images or detect duplicates with ease.