{"id":37290,"date":"2022-02-24T11:36:11","date_gmt":"2022-02-24T06:06:11","guid":{"rendered":"https:\/\/appscrip.com\/blog\/?p=37290"},"modified":"2022-02-24T11:36:11","modified_gmt":"2022-02-24T06:06:11","slug":"hbase-vs-cassandra-difference-similarities-2022","status":"publish","type":"post","link":"https:\/\/appscrip.com\/blog\/hbase-vs-cassandra-difference-similarities-2022\/","title":{"rendered":"HBase vs Cassandra – Difference & Similarities 2022"},"content":{"rendered":"
It\u2019s like while walking down a road you sight a friend from a distance, but when she comes nearby, you realize it\u2019s someone else. You comprehend that the similarity was only from a distance. When you study HBase vs Cassandra, there are similarities, but subtle differences too.<\/p>\n
HBase does not have a query language. Therefore you would have to work with (JRuby-based) HBase shell. Over and above you would have to involve technologies such as Apache Hive, Apache Drill, or others.<\/p>\n
Cassandra on the other hand boasts of CQL (Cassandra Query Language). There\u2019s a load of support for Cassandra specialists here.<\/p><\/blockquote>\n
Both Cassandra and HBase can be reliable databases<\/a> for IoT solutions. The choice really boils down to the peculiarities of each system and the operations to perform.<\/strong> Like when there is high-volume sensor data from a smart, connected product with lots of sensors. Cassandra is more than capable of managing this humungous data flow due to its better write performance.<\/p>\n
<\/p>\n
Data Model Comparison – HBase vs Cassandra<\/strong><\/h2>\n
The terms that are used may be the same, but they differ in what they mean.<\/p>\n
When it comes to a column:\u00a0Cassandra\u2019s\u00a0column\u00a0is similar to a\u00a0cell\u00a0in HBase. In Cassandra a column family\u00a0is like an HBase\u00a0table. While the column qualifier in HBase is similar to a Super Column in Cassandra.<\/strong> But contains at least 2 subcolumns, while in HBase \u2013 only one.<\/p>\n
Cassandra permits a primary key to contain\u00a0multiple columns<\/em>. While HBase has only\u00a01-column<\/em>\u00a0row key. The row key design falls on the developer. Cassandra\u2019s primary key consists of a partition key and clustering columns. Here the partition key may contain multiple columns.<\/p><\/blockquote>\n
Despite the differences, both data models are quite similar. As they have no joins, they group related data together. Both permit no value in some cells or column and no storage space is lost.<\/strong> But both need column families specified with schema design. This cannot be changed later, but offers columns and column qualifiers flexibility. Both are good at storing data<\/a>.<\/p>\n
Data Model<\/strong><\/h2>\n
HBase<\/strong><\/h3>\n
The HBase table consist of cells arranged in row key and column families. Sometimes, a Column Family (CF) may have column qualifiers to better organize data in a column family.<\/p>\n
A\u00a0cell consists of a value and timestamp. While a column is a combination of cells with a common column qualifier and common column family.<\/p><\/blockquote>\n
Data is partitioned by 1-column row key within a table in alphabetical order where related data is stored nearby to enhance performance. Design of row key is vital which needs to be meticulously planned in algorithm by the developer to warrant efficient data search.<\/p>\n
Cassandra<\/h3>\n
Here a column family is made up of columns structured by row keys. A column contains a name or key, its value and timestamp.<\/strong> In addition to a column, Cassandra contains super columns made up of two or more sub-columns. These are grouped into super columns but rarely employed.<\/p>\n
In a cluster data is split by multi-column primary key with a hash value. Which is then sent to the node whose token is larger than the hash value.<\/p><\/blockquote>\n
The data is written to more number of nodes depending on the duplication factor set by developers. Choice of further nodes are condition to the location in the cluster.<\/p>\n
2. Architecture<\/h2>\n
HBase is a master-based architecture and Cassandra masterless.<\/strong> This is similar to the difference between Cassandra and Hadoop Distributed File System. HDFS architecture is hierarchical with a master node and several slave nodes. While Cassandra\u2019s architecture is peer-to-peer nodes resembles a ring.<\/p>\n