LokiJS vs Pouchdb: What are the differences?

<Write Introduction here>

1. Data Structure: LokiJS is an in-memory database that stores data in collections, while PouchDB is a document-oriented database that stores data in JSON format in documents.

2. Synchronization: PouchDB supports synchronization with remote databases like CouchDB and IBM Cloudant, allowing for seamless data replication across different devices and platforms. In contrast, LokiJS does not provide built-in synchronization capabilities with remote databases.

3. Backend Support: PouchDB can utilize various backend storage solutions such as IndexedDB, WebSQL, and LevelDB based on the environment, providing flexibility in data persistence. On the other hand, LokiJS primarily focuses on saving data in memory or to disk using a custom persistence adapter.

4. Querying: LokiJS offers a powerful querying mechanism with support for indexes and dynamic views, enabling efficient data retrieval operations. In comparison, PouchDB's querying capabilities are more limited, primarily relying on MapReduce functions for data manipulation.

5. Community and Ecosystem: PouchDB has a larger and more active community, resulting in better support, frequent updates, and a wider range of plugins and integrations available for developers. LokiJS, while still actively maintained, lacks the extensive ecosystem that PouchDB possesses.

6. Usage Scenarios: Due to their inherent differences in data structure and synchronization capabilities, LokiJS is more suitable for applications requiring fast in-memory data operations, while PouchDB is better suited for projects that require seamless data synchronization across multiple devices or platforms.

In Summary, LokiJS and PouchDB differ in data structure, synchronization, backend support, querying capabilities, community size, and ideal usage scenarios.