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CouchDB vs Realm: What are the differences?
- Data Model: CouchDB uses a document-based data model, storing data in JSON documents, making it easier to store unstructured data. In contrast, Realm uses an object-based data model, with data organized as objects in tables, making it better suited for structured data.
- Synchronization: CouchDB offers built-in replication and synchronization capabilities, allowing data to be easily synchronized across multiple devices and servers. On the other hand, Realm provides seamless real-time data synchronization, ensuring that data changes are immediately reflected across all connected devices without the need for manual intervention.
- Query Language: CouchDB uses MapReduce queries for data retrieval and manipulation, providing flexibility but requiring more complex queries. In comparison, Realm uses a simpler and more intuitive query language for data manipulation, making it easier for developers to interact with the data.
- Programming Language Support: CouchDB supports multiple programming languages for interacting with the database, including JavaScript, Erlang, and Python. Realm, on the other hand, has better support for mobile app development, with SDKs available for popular mobile platforms like iOS and Android.
- Conflict Resolution: CouchDB employs conflict-free data replication mechanisms to handle conflicts that may arise during synchronization, ensuring data integrity. Realm offers conflict resolution strategies that can be customized based on application requirements, allowing developers to define how conflicts should be resolved.
- Indexing: CouchDB allows developers to create custom indexes to optimize data retrieval and query performance. In contrast, Realm automatically indexes all data fields by default, simplifying query performance optimization for developers.
In Summary, the key differences between CouchDB and Realm lie in their data models, synchronization mechanisms, query languages, programming language support, conflict resolution strategies, and indexing approaches.
Decisions about CouchDB and Realm
Gabriel Pa
CEO at NaoLogic Inc · | 10 upvotes · 572.6K views
We implemented our first large scale EPR application from naologic.com using CouchDB .
Very fast, replication works great, doesn't consume much RAM, queries are blazing fast but we found a problem: the queries were very hard to write, it took a long time to figure out the API, we had to go and write our own @nodejs library to make it work properly.
It lost most of its support. Since then, we migrated to Couchbase and the learning curve was steep but all worth it. Memcached indexing out of the box, full text search works great.
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Learn MorePros of CouchDB
Pros of Realm
Pros of CouchDB
- JSON43
- Open source30
- Highly available18
- Partition tolerant12
- Eventual consistency11
- Sync7
- REST API5
- Attachments mechanism to docs4
- Multi master replication4
- Changes feed3
- REST interface1
- js- and erlang-views1
Pros of Realm
- Good7
- Elegant API3
- Cloud Syncing3
- React Native Support2
- Strong Adoption Growth1
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Cons of CouchDB
Cons of Realm
Cons of CouchDB
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Cons of Realm
- No offline support for web till now1
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- No public GitHub repository available -
What is CouchDB?
Apache CouchDB is a database that uses JSON for documents, JavaScript for MapReduce indexes, and regular HTTP for its API. CouchDB is a database that completely embraces the web. Store your data with JSON documents. Access your documents and query your indexes with your web browser, via HTTP. Index, combine, and transform your documents with JavaScript.
What is Realm?
The Realm Mobile Platform is a next-generation data layer for applications. Realm is reactive, concurrent, and lightweight, allowing you to work with live, native objects.
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What companies use CouchDB?
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What tools integrate with CouchDB?
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What are some alternatives to CouchDB and Realm?
MongoDB
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.
Couchbase
Developed as an alternative to traditionally inflexible SQL databases, the Couchbase NoSQL database is built on an open source foundation and architected to help developers solve real-world problems and meet high scalability demands.
Cloudant
Cloudant’s distributed database as a service (DBaaS) allows developers of fast-growing web and mobile apps to focus on building and improving their products, instead of worrying about scaling and managing databases on their own.
MariaDB
Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.
RethinkDB
RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.