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CockroachDB vs CouchDB: What are the differences?

CockroachDB vs CouchDB

CockroachDB and CouchDB are both popular database management systems, but they have key differences that set them apart. Here are six important distinctions:

1. Data Model:

CockroachDB follows a tabular, schema-based data model that resembles traditional relational databases. It enforces a strict schema and supports ACID transactions, ensuring data consistency. On the other hand, CouchDB follows a document-oriented data model, where data is stored as JSON documents. It is schema-less, allowing for more flexibility in terms of data structure.

2. Scalability:

CockroachDB is designed for horizontal scalability and distributed deployments. It employs a distributed SQL engine that automatically replicates data across multiple nodes, offering high availability and fault tolerance. In contrast, CouchDB is primarily focused on single-node deployments, making it less ideal for large-scale distributed systems.

3. Query Language:

CockroachDB uses a SQL-like language for querying and manipulating data, making it familiar to developers experienced with relational databases. It supports traditional SQL operations like JOINs and complex queries. In contrast, CouchDB utilizes a MapReduce-based querying system, which requires a different approach to data retrieval and analysis.

4. Consistency vs Eventual Consistency:

CockroachDB ensures strict consistency by employing distributed consensus algorithms, which means that data is always up-to-date across all replicas. In contrast, CouchDB adopts an eventual consistency model, where changes made to the database may take some time to propagate across replicas, leading to the possibility of data divergence for a short period.

5. Conflict Resolution:

In CouchDB, conflict resolution is built-in to handle conflicts that may arise when concurrent edits are made to the same document. It uses a combination of revision IDs and conflict handlers to automatically detect and resolve conflicts. In CockroachDB, conflict resolution is primarily handled through timestamping and the underlying distributed consensus protocols.

6. Replication:

CockroachDB supports synchronous and asynchronous replication options, allowing for flexibility in ensuring data durability and performance. It replicates data in a strongly consistent manner across multiple nodes. In contrast, CouchDB supports only asynchronous replication, which means that data replication occurs after changes have been made locally.

In summary, CockroachDB follows a strict schema-based data model, is highly scalable and offers strong consistency, while CouchDB adopts a flexible schema-less data model, focuses on single-node deployments, and offers eventual consistency.

Decisions about CockroachDB and CouchDB
Gabriel Pa

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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Pros of CockroachDB
Pros of CouchDB
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    What is CockroachDB?

    CockroachDB is distributed SQL database that can be deployed in serverless, dedicated, or on-prem. Elastic scale, multi-active availability for resilience, and low latency performance.

    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.

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    What companies use CockroachDB?
    What companies use CouchDB?
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    What tools integrate with CockroachDB?
    What tools integrate with CouchDB?

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    What are some alternatives to CockroachDB and CouchDB?
    MySQL
    The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
    Oracle
    Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.
    Cassandra
    Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
    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.
    FoundationDB
    FoundationDB is a NoSQL database with a shared nothing architecture. Designed around a "core" ordered key-value database, additional features and data models are supplied in layers. The key-value database, as well as all layers, supports full, cross-key and cross-server ACID transactions.
    See all alternatives