Objectify vs RESTHeart
Overview
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Detailed Comparison
It is a Java data access API specifically designed for the Google Cloud Datastore. It occupies a "middle ground"; easier to use and more transparent than JDO or JPA, but significantly more convenient than the low-level API libraries that Google provides. Objectify is designed to make novices immediately productive yet also expose the full power of the Datastore. | It connects to MongoDB and opens data to the Web. Clients such as mobile and javascript apps can use the database via a simple RESTful API. |
Lets you persist, retrieve, delete, and query your own typed objects; Surfaces all native datastore features, including batch operations, queries, transactions, asynchronous operations, and partial indexes; Provides type-safe key and query classes using Java generics; Provides a human-friendly query interface | Setup in minutes the lightweight and fast microservice with support for MongoDB and AWS DocumentDB; Available also as a Docker image; Built on standards, like HTTP, JSON, REST, JSON and JSON Schema; Read JSON documents with GET requests, specifying MongoDB queries and projection options; Deal with large result sets with pagination; Create, modify and delete JSON documents with POST, PUT, PATCH and DELETE requests; Use bulk requests to deal with multiple documents in one shot; Out-of-the-box User Authentication and Authorization; Store and serve binary data with GridFS support; Define and execute Aggregations, supporting both map-reduce and aggregation pipelines; Execute requests in multi-document ACID transactions; Access real-time data changes via Websocket Change Streams; Create dbs, collections and indexes with Data Model API; Validate requests with JSON Schema; Extend RESTHeart via Plugins: transform, check requests and responses; Keep data secure with authenticators and authorizers; Executes WebHooks after a request completes; Implement Web Services in minutes; Serve Static Resources (such as HTML, CSS, images and JavaScript); Define Relationships so that documents automatically include hyperlinks to referenced data; Forget about HTTP details with automatic support of Cross-origin resource sharing, Web Caching and HTTP ETag to avoid ghost writes; Navigate data with the embedded browser web app |
Statistics | |
GitHub Stars 729 | GitHub Stars 860 |
GitHub Forks 161 | GitHub Forks 170 |
Stacks 6 | Stacks 5 |
Followers 12 | Followers 12 |
Votes 0 | Votes 2 |
Pros & Cons | |
No community feedback yet | Pros
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Integrations | |
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