CockroachDB vs CouchDB

Overview

CouchDB

Stacks529

Followers584

Votes139

GitHub Stars6.7K

Forks1.1K

CockroachDB

Stacks216

Followers341

Votes0

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.

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Advice on CouchDB, CockroachDB

Gabriel

CEO at Naologic

Jan 2, 2020

Decidedon

CouchDB

Couchbase

Memcached

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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Comments

Detailed Comparison

CouchDB	CockroachDB
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.	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.
Terrific single-node database; Clustered database ; HTTP/JSON; Offline first data sync	sql; high availability; fast; acid;
Statistics
GitHub Stars 6.7K	GitHub Stars -
GitHub Forks 1.1K	GitHub Forks -
Stacks 529	Stacks 216
Followers 584	Followers 341
Votes 139	Votes 0
Pros & Cons
Pros 43 JSON 30 Open source 18 Highly available 12 Partition tolerant 11 Eventual consistency	No community feedback yet

What are some alternatives to CouchDB, CockroachDB?

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.

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.

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

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.

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

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.

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

Related Comparisons

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:

2. Scalability:

3. Query Language:

4. Consistency vs Eventual Consistency:

5. Conflict Resolution:

6. Replication:

CockroachDB vs CouchDB

Overview

CockroachDB vs CouchDB: What are the differences?