Apache HBase vs Apache Cassandra

Struggling to choose between Apache HBase and Apache Cassandra? 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, Apache Cassandra is a Databases product tagged with distributed, scalable, high-availability, fault-tolerant, wide-column-store.

Its standout features include Distributed database system, Linear scalability, Fault tolerance, Tunable consistency, Column-oriented database, Multi-datacenter replication, and it shines with pros like High availability, Fast writes, Tunable consistency, Flexible schema design, Linear scalability.

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

Apache Cassandra

Apache Cassandra

Apache Cassandra is a free, open-source, distributed NoSQL database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure.

Categories:
Databases Nosql
distributed scalable high-availability fault-tolerant wide-column-store

Apache Cassandra Features

  1. Distributed database system
  2. Linear scalability
  3. Fault tolerance
  4. Tunable consistency
  5. Column-oriented database
  6. Multi-datacenter replication

Pricing

  • Open Source

Pros

High availability

Fast writes

Tunable consistency

Flexible schema design

Linear scalability

Cons

Eventual consistency only

Complex data modeling

No joins or transactions

Limited query capabilities

Steep learning curve