CockroachDB vs MongoDB

Struggling to choose between CockroachDB and MongoDB? Both products offer unique advantages, making it a tough decision.

CockroachDB is a Development solution with tags like distributed, scalable, fault-tolerant, sql.

It boasts features such as Distributed SQL database, Horizontal scaling, High availability, Fault tolerance, ACID transactions, Multi-datacenter support, SQL compatibility, Automatic replication and failover, Geo-distributed deployments, Automated data balancing, SQL access for applications and pros including Scalable and highly available, Consistent and durable data, Automatic failover and recovery, SQL compatibility for easy migration, Open-source and community-driven, Cloud-native architecture.

On the other hand, MongoDB is a Development product tagged with nosql, document-database, open-source.

Its standout features include Document-oriented storage, Automatic sharding, Rich and expressive query language, High availability, Horizontal scalability, and it shines with pros like Flexible schema, High performance, Easy scalability, Rich query capabilities, High availability.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

CockroachDB

CockroachDB

CockroachDB is an open-source, distributed SQL database that scales horizontally with high availability to tolerate failures and supports strongly consistent ACID transactions. It aims to provide scalability, survivability, and data consistency across multiple datacenters.

Categories:
Development Databases
distributed scalable fault-tolerant sql

CockroachDB Features

  1. Distributed SQL database
  2. Horizontal scaling
  3. High availability
  4. Fault tolerance
  5. ACID transactions
  6. Multi-datacenter support
  7. SQL compatibility
  8. Automatic replication and failover
  9. Geo-distributed deployments
  10. Automated data balancing
  11. SQL access for applications

Pricing

  • Open Source

Pros

Scalable and highly available

Consistent and durable data

Automatic failover and recovery

SQL compatibility for easy migration

Open-source and community-driven

Cloud-native architecture

Cons

Complexity of managing a distributed system

Limited ecosystem and tooling compared to traditional databases

Higher hardware requirements for production deployments

Potential performance overhead due to distributed nature

MongoDB

MongoDB

MongoDB is a popular open-source, document-oriented NoSQL database. It stores data in flexible, JSON-like documents, rather than rows and columns used in traditional RDBMS. MongoDB is scalable, high-performance and easy to use.

Categories:
Development Databases
nosql document-database open-source

MongoDB Features

  1. Document-oriented storage
  2. Automatic sharding
  3. Rich and expressive query language
  4. High availability
  5. Horizontal scalability

Pricing

  • Open Source
  • Subscription-Based

Pros

Flexible schema

High performance

Easy scalability

Rich query capabilities

High availability

Cons

No transactions

No joins

Limited query flexibility compared to SQL

Steep learning curve