Most of you are already familiar with SQL databases and have a good knowledge of either MySQL, Oracle, or other SQL databases. In the last several years, NoSQL database is getting widely adopted to solve various business problems. It is helpful to understand the difference between SQL and NoSQL databases, and some of the available NoSQL databases that you can play around with.

Explore Key Differences Between SQL and NoSQL:
  1. SQL databases are primarily called Relational Database Management Systems (RDBMS); whereas NoSQL databases are primarily called as non-relational or distributed databases.
  2. SQL databases are table-based databases whereas NoSQL databases are document-based, key-value pairs, graph databases or wide-column stores. This means that SQL databases represent data in form of tables which consists of n number of rows of data whereas NoSQL databases are the collection of key-value pair, documents, graph databases or wide-column stores which do not have standard schema definitions which it needs to adhere to.
  3. SQL databases have predefined schema whereas NoSQL databases have dynamic schema for Unstructured Data.
  4. SQL databases are vertically scalable whereas NoSQL databases are horizontally scalable. SQL databases are scaled by increasing the horsepower of the hardware. NoSQL databases are scaled by increasing the database servers in the pool of resources to reduce the load.
  5. SQL databases use SQL (structured query language) for defining and manipulating the data, which is very powerful. In NoSQL database, queries are focused on collection of documents. Sometimes it is also called UnQL (Unstructured Query Language). The syntax of using UnQL varies from database to database.
  6. SQL database examples: MySql, Oracle, Sqlite, Postgres and MS-SQL. NoSQL database examples: MongoDB, BigTable, Redis, RavenDb, Cassandra, Hbase, Neo4j and CouchDB
  7. For complex queries: SQL databases are good fit for the complex query-intensive environment whereas NoSQL databases are not good fit for complex queries. On a high level, NoSQL doesn’t have standard interfaces to perform complex queries, and the queries themselves in NoSQL are not as powerful as SQL query language.
  8. For the type of data to be stored: SQL databases are not best fit for hierarchical data storage. But, NoSQL database fits better for hierarchical data storage as it follows the key-value pair way of storing data similar to JSON data. NoSQL databases are highly preferred for large data sets (i.e for big data). Hbase is an example of this purpose.
  9. For scalability: SQL databases are vertically scalable in most typical situations. You can manage the increasing load by increasing the CPU, RAM, SSD, etc, on a single server. On the other hand, NoSQL databases are horizontally scalable. You can just add a few more servers easily in your NoSQL database infrastructure to handle the large traffic.
  10. For high transactional-based application: SQL databases are the best fit for heavy-duty transactional-type applications, as it is more stable and promises the atomicity as well as the integrity of the data. While you can use NoSQL for transactions purpose, it is still not comparable and sable enough in high load and for complex transactional applications.
  11. For support: Excellent support is available for all their vendors’ SQL databases. There are also a lot of independent consultations that can help you with SQL databases for very large-scale deployments. For some NoSQL databases you still have to rely on community support, and only limited outside experts are available for you to set up and deploy your large-scale NoSQL deployments.
  12. For properties: SQL databases emphasize ACID properties (Atomicity, Consistency, Isolation and Durability) whereas the NoSQL database follows the Brewers CAP theorem (Consistency, Availability and Partition tolerance)
  13. For DB types: On a high level, we can classify SQL databases as either open-source or closed-sourced from commercial vendors. NoSQL databases can be classified on the basis of the way of storing data as a graph database, key-value store database, document store database, column store database and XML database.

      Selecting or suggesting a database is a key responsibility for most database experts, and “SQL vs. NoSQL” is a helpful rubric for informed decision-making. When considering either database, it is also important to consider critical data needs and acceptable tradeoffs conducive to meeting performance and uptime goals. Secuodsoft Technologies Private Limited invested in going more in-depth to adobe suitable databases for the project to meet the clients’ expectations.

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