{"id":17615,"date":"2018-06-19T04:08:26","date_gmt":"2018-06-19T04:08:26","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=17615"},"modified":"2018-06-19T04:08:26","modified_gmt":"2018-06-19T04:08:26","slug":"hbase-vs-rdbms","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/hbase-vs-rdbms\/","title":{"rendered":"HBase vs RDBMS: Feature Wise Comparison"},"content":{"rendered":"

Today, in this article \u201cHBase vs RDBMS: Feature Wise Comparison\u201d we will learn the complete comparison of HBase vs RDBMS<\/strong>, on the basis of several features. Both HDFS<\/strong> and RDBMS are varying concepts of processing, retrieving and storing the data or information. <\/span><\/p>\n

Still, there are some reasons that HBase<\/strong> has lacks comparison to conventional relational databases which are even existed for so long now. <\/span><\/p>\n

So, let\u2019s begin HBase vs RDBMS<\/span><\/p>\n

Difference Between HBase & RDBMS<\/span><\/h2>\n

i. What is HBase?<\/h3>\n

An open source and sorted map data built on Hadoop<\/strong> is what we call HBase. Basically, it is column-oriented and horizontally scalable. Moreover, it offers APIs enabling development in practically any programming language. <\/span><\/p>\n

Also, it offers random real-time read\/write access to data in the Hadoop File System, as it is a part of the Hadoop ecosystem that.<\/span><\/p>\n

ii. What is RDBMS?<\/h3>\n

RDBMS refers to Relational Database Management Systems. Basically, systems like SQL<\/strong>, MS SQL Server, IBM DB2, Oracle, MySQL, and Microsoft Access are based on RDBMS. <\/span><\/p>\n

Since it is based on the relational model introduced by E.F. Codd so it is called Relational Database Management System (RDBMS).<\/span><\/p>\n

Feature Wise Comparison of HBase vs RDBMS<\/span><\/h2>\n

Below we are discussing the feature wise difference of HBase vs RDBMS, let’s\u00a0explore this in detail:<\/p>\n

i. Database Type<\/span><\/h3>\n
    \n
  • HBase<\/span><\/li>\n<\/ul>\n

    HBase is the column-oriented database. On defining Column-oriented, each column is a contiguous unit of page.<\/p>\n

      \n
    • RDBMS<\/span><\/li>\n<\/ul>\n

      Whereas, RDBMS is row-oriented that means here each row is a contiguous unit of page.<\/span><\/p>\n

      ii. Schema-type<\/span><\/h3>\n
        \n
      • HBase<\/span><\/li>\n<\/ul>\n

        Schema of HBase is less restrictive, adding columns on the fly is possible. <\/span><\/p>\n

          \n
        • RDBMS<\/span><\/li>\n<\/ul>\n

          However, Schema of RDBMS is more restrictive.<\/span><\/p>\n

          iii. Sparse Tables<\/span><\/h3>\n
            \n
          • HBase<\/span><\/li>\n<\/ul>\n

            HBase is good with the Sparse table.<\/span><\/p>\n

              \n
            • RDBMS<\/span><\/li>\n<\/ul>\n

              Whereas, RDBMS is not optimized for sparse tables.<\/span><\/p>\n

              iv. Scale up\/ Scale out<\/span><\/h3>\n
                \n
              • HBase<\/span><\/li>\n<\/ul>\n

                HBase supports scale out. It means while we need memory processing power and more disk, we need to add new servers to the cluster rather than upgrading the present one.<\/span><\/p>\n

                  \n
                • RDBMS<\/span><\/li>\n<\/ul>\n

                  However, RDBMS supports scale up. That means while we need memory processing power and more disk, we need upgrade same server to a more powerful server, rather than adding new servers.<\/span><\/p>\n

                  v. Amount of data<\/span><\/h3>\n
                    \n
                  • HBase<\/span><\/li>\n<\/ul>\n

                    While here it does not depend on the particular machine but the number of machines.<\/span><\/p>\n

                      \n
                    • RDBMS<\/span><\/li>\n<\/ul>\n

                      In RDBMS, on the configuration of the server, amount of data depends.<\/span><\/p>\n

                      vi. \u00a0Support of<\/span><\/h3>\n
                        \n
                      • HBase<\/span><\/li>\n<\/ul>\n

                        For HBase, there is no built-in support.<\/span><\/p>\n

                          \n
                        • RDBMS<\/span><\/li>\n<\/ul>\n

                          And, RDBMS has ACID support.<\/span><\/p>\n

                          vii. Data type<\/span><\/h3>\n
                            \n
                          • HBase<\/span><\/li>\n<\/ul>\n

                            HBase supports both structured and nonstructural data.<\/span><\/p>\n

                              \n
                            • RDBMS<\/span><\/li>\n<\/ul>\n

                              RDBMS is suited for structured data.<\/span><\/p>\n

                              viii. Transaction integrity<\/span><\/h3>\n
                                \n
                              • HBase<\/span><\/li>\n<\/ul>\n

                                In HBase, there is no transaction guaranty.<\/span><\/p>\n

                                  \n
                                • RDBMS<\/span><\/li>\n<\/ul>\n

                                  Whereas, RDBMS mostly guarantees transaction integrity.<\/span><\/p>\n

                                  ix. \u00a0JOINs<\/span><\/h3>\n
                                    \n
                                  • HBase<\/span><\/li>\n<\/ul>\n

                                    HBase supports JOINs.<\/span><\/p>\n

                                      \n
                                    • RDBMS<\/span><\/li>\n<\/ul>\n

                                      RDBMS does not support JOINs.<\/span><\/p>\n

                                      x. Referential integrity<\/span><\/h3>\n
                                        \n
                                      • HBase<\/span><\/li>\n<\/ul>\n

                                        While it comes to referential integrity, there is no in-built support.<\/span><\/p>\n

                                          \n
                                        • RDBMS<\/span><\/li>\n<\/ul>\n

                                          And, RDBMS, supports referential integrity.<\/span><\/p>\n

                                          Features of HBase and RDBMS<\/span><\/h2>\n
                                            \n
                                          • Why HBase?<\/span><\/li>\n<\/ul>\n
                                              \n
                                            1. HBase is horizontally scalable.<\/span><\/li>\n
                                            2. Integrations with Map\/Reduce framework.<\/span><\/li>\n
                                            3. Moreover, it is possible to refer HBase as a key-value store or column family-oriented database.<\/span><\/li>\n<\/ol>\n
                                                \n
                                              • Why RDBMS?<\/span><\/li>\n<\/ul>\n
                                                  \n
                                                1. Here, in form of rows and columns, data stores.<\/span><\/li>\n
                                                2. By using SQL queries, it also supports virtual tables from where we can retrieve data.<\/span><\/li>\n
                                                3. For the purpose of data uniqueness, RDBMS provides a primary key.<\/span><\/li>\n
                                                4. Also, it offers referential integrity.<\/span><\/li>\n<\/ol>\n

                                                  Conclusion<\/span><\/h2>\n

                                                  Hence, in this HBase tutorial, we saw the difference between HBase & RDBMS. Moreover, we have seen the complete comparison and the features of HBase and RDBMS. However, if any doubt occurs regarding HBase vs RDBMS, feel free to ask in the comment section.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                                  Today, in this article \u201cHBase vs RDBMS: Feature Wise Comparison\u201d we will learn the complete comparison of HBase vs RDBMS, on the basis of several features. Both HDFS and RDBMS are varying concepts of...<\/p>\n","protected":false},"author":7,"featured_media":18477,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[23],"tags":[2770,3526,4556,4595,5441,5498,11334,15738,15895,16145,16170],"class_list":["post-17615","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-hbase","tag-comparison-of-hbase-vs-rdbms","tag-database-type-comparison","tag-feature-of-rdbms","tag-features-of-hbase","tag-hbase-introduction","tag-hbase-vs-rdbms","tag-rdbms-introduction","tag-what-is-hbase","tag-what-is-rdbms","tag-why-hbase","tag-why-rdbms"],"yoast_head":"\nHBase vs RDBMS: Feature Wise Comparison - DataFlair<\/title>\n<meta name=\"description\" content=\"HBase vs RDBMS:Feature wise comparison of HBase & RDBMS,difference between HBase vs RDBMS,why HBase, why RDBMS,what is HBase,what is RDBMS,features of HBase\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/data-flair.training\/blogs\/hbase-vs-rdbms\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"HBase vs RDBMS: Feature Wise Comparison - 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