Apache HBase vs MongoDB

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

Apache HBase is a Development solution with tags like distributed, nonrelational, big-data, hadoop.

It boasts features such as Distributed database, Automatic sharding, Strong consistency, Fault tolerance, Column-oriented store, Integration with Hadoop ecosystem and pros including Scalability, High availability, Low latency, Flexible data model, Integration with MapReduce.

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.

Apache HBase

Apache HBase

Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's Bigtable. It is written in Java and provides fast random access to large amounts of structured data.

Categories:
Development Databases
distributed nonrelational big-data hadoop

Apache HBase Features

  1. Distributed database
  2. Automatic sharding
  3. Strong consistency
  4. Fault tolerance
  5. Column-oriented store
  6. Integration with Hadoop ecosystem

Pricing

  • Open Source

Pros

Scalability

High availability

Low latency

Flexible data model

Integration with MapReduce

Cons

Complex to operate

Steep learning curve

No secondary indexes

Limited query capabilities

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