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It’s an easy-to-use, high-availability solution, which provides high system up-time, no data loss and scalability for future growth. You can Keep it up and running 24/7. Putting our expertise to use will help you avoid trial and error. | 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. |
True Multi-master Read and write to any node at any time;
Synchronous Replication No slave lag, no data is lost at node crash;
Tightly Coupled All nodes hold the same state;
Multi-threaded Slave For better performance. | 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 - | GitHub Stars 860 |
GitHub Forks - | GitHub Forks 170 |
Stacks 54 | Stacks 5 |
Followers 102 | Followers 12 |
Votes 0 | Votes 2 |
Pros & Cons | |
No community feedback yet | Pros
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Integrations | |

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

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