{"id":16135,"date":"2018-05-19T04:07:49","date_gmt":"2018-05-19T04:07:49","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=16135"},"modified":"2023-08-17T12:07:02","modified_gmt":"2023-08-17T06:37:02","slug":"hbase-vs-cassandra","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/hbase-vs-cassandra\/","title":{"rendered":"HBase vs Cassandra \u2013 8 Major Difference & Similarities"},"content":{"rendered":"

Both HBase and Cassandra are the NoSQL database and designed to manage extremely large data set. But on the hand, they both are different.\u00a0In this Cassandra article<\/strong>, we will see HBase vs Cassandra. <\/span><\/p>\n

Moreover, we will study the similarities between HBase and Cassandra. At last, we will cover the factors of differences between HBase vs Cassandra.<\/span><\/p>\n

So, let’s start HBase vs Cassandra.<\/span><\/p>\n

Similarities – HBase vs Cassandra<\/h3>\n

Cassandra and HBase<\/strong> both are descendants of Bigtable. HBase originated mainly from Bigtable. Cassandra, on the other hand, was derived from Bigtable and Amazon’s Dynamo<\/strong>. Since they have similar characteristics, there are many similarities.<\/span><\/p>\n

Some of the main similarities between HBase and Cassandra:’<\/span><\/p>\n

\"Similarities<\/a>

Similarities – HBase vs Cassandra<\/p><\/div>\n

a. Database<\/h4>\n

Both Cassandra and HBase are open-source NoSQL Database. Both database can manage extremely large data sets and handle non-relational data. This data includes images, videos, audio, etc. In other words, both Cassandra and HBase are born for Big Data<\/strong>.<\/span><\/p>\n

b. Scalability<\/h4>\n

Both Cassandra and HBase have a feature of high linear scalability. That means to handle more data, the user should simply increase the number of nodes in the cluster. Because of this feature, they both are an excellent choice for handling a large amount of data.<\/span><\/p>\n

c. Replication<\/h4>\n

There is always a chance of failure in a program or application. Because of these failure data can be lost. But in both Cassandra and HBase, there is a safeguard that prevents data loss even after failure. This is done via replication. <\/span><\/p>\n

The data written on one node is replicated to many nodes in the cluster. Due to this, if a node fails, there is always a redundant node for the data access.<\/span><\/p>\n

d. Programming\/Coding<\/h4>\n

Both are column-oriented databases that implement similar write paths. The columns are basically the main storage unit in the database. A user can add columns as per their requirements. <\/span><\/p>\n

Furthermore, the right path begins with logging the write operation to a log file. This is basically done to ensure durability. Both are mainly accessed through Java<\/strong>, which is also the language in which they are written.<\/span><\/p>\n

e. Distributed Architecture:<\/h4>\n

HBase and Cassandra are both intended to be distributed databases. As such, they may be set up on several nodes in a cluster and provide horizontal scalability to deal with heavy traffic and enormous volumes of data.<\/p>\n

f. HBase and Cassandra both adhere to the NoSQL data paradigm, which implies they are able to store semi-structured or unstructured data without relying on a predefined schema. Agile development is made possible by this adaptability, which also adapts to shifting data needs.<\/p>\n

g. The HBase column-family data model divides each table into column families, each of which may include a variety of columns. Data is arranged in columns and rows in Cassandra, where each row may have a distinct collection of columns.<\/p>\n

The difference – HBase vs Cassandra<\/h3>\n

After going through the similarities, we will note some differences between HBase vs Cassandra. Some of these differences are:<\/span><\/span><\/p>\n

\"Difference<\/a>

The difference – HBase vs Cassandra<\/p><\/div>\n

a. Infrastructure<\/h4>\n

HBase utilizes Hadoop Infrastructure. This HBase-Hadoop infrastructure consists of several moving parts like Zookeeper<\/strong>, HBase master, Data nodes and Name Node.<\/span><\/p>\n

\"HBase<\/a>

HBase vs Cassandra –\u00a0Infrastructure<\/p><\/div>\n

Cassandra, on the other hand, has different infrastructure and operation than Hadoop<\/strong>. However, for many applications, Cassandra uses different DBMS along with their infrastructure. <\/span><\/p>\n

Many Cassandra applications<\/strong> or programs use Cassandra along with Storm or Hadoop or etc. Its infrastructure is based on single node-type structure. In this, all the nodes perform equally. When used alone, nodes are simply used as a coordinator. <\/span><\/p>\n

But when Cassandra is used along with different DBMS<\/strong>, the complexity of the infrastructure increases.<\/span><\/p>\n

b. Support<\/h4>\n