SQL vs NoSQL
Updated
•2 min read
N
I am a Tech Enthusiast having 13+ years of experience in 𝐈𝐓 as a 𝐂𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐧𝐭, 𝐂𝐨𝐫𝐩𝐨𝐫𝐚𝐭𝐞 𝐓𝐫𝐚𝐢𝐧𝐞𝐫, 𝐌𝐞𝐧𝐭𝐨𝐫, with 12+ years in training and mentoring in 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠, 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠, 𝐓𝐞𝐬𝐭 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞. I have 𝒕𝒓𝒂𝒊𝒏𝒆𝒅 𝒎𝒐𝒓𝒆 𝒕𝒉𝒂𝒏 10,000+ 𝑰𝑻 𝑷𝒓𝒐𝒇𝒆𝒔𝒔𝒊𝒐𝒏𝒂𝒍𝒔 and 𝒄𝒐𝒏𝒅𝒖𝒄𝒕𝒆𝒅 𝒎𝒐𝒓𝒆 𝒕𝒉𝒂𝒏 500+ 𝒕𝒓𝒂𝒊𝒏𝒊𝒏𝒈 𝒔𝒆𝒔𝒔𝒊𝒐𝒏𝒔 in the areas of 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭, 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠, 𝐂𝐥𝐨𝐮𝐝, 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬, 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧𝐬, 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐚𝐧𝐝 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠. I am interested in 𝐰𝐫𝐢𝐭𝐢𝐧𝐠 𝐛𝐥𝐨𝐠𝐬, 𝐬𝐡𝐚𝐫𝐢𝐧𝐠 𝐭𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐤𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞, 𝐬𝐨𝐥𝐯𝐢𝐧𝐠 𝐭𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐢𝐬𝐬𝐮𝐞𝐬, 𝐫𝐞𝐚𝐝𝐢𝐧𝐠 𝐚𝐧𝐝 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 new subjects.
| SQL | NoSQL |
| SQL, which stands for “Structured Query Language,” is the programming language that’s been widely used in managing data in relational database management systems (RDBMS). | NoSQL stands for "not only SQL," and refers to a non-relational or distributed database. NoSQL databases use a variety of data models, such as key- value, document, columnar, and graph. |
| SQL databases are best suited for structured and predictable data. | NoSQL databases are better for unstructured and rapidly changing data. |
| SQL databases are not suited for hierarchical data storage. | No SQL databases are best suited for hierarchical data storage. |
| SQL databases are often used for transactions and complex queries. | NoSQL databases are used for big data and real-time web applications. |
| SQL databases, such as MySQL, Oracle, and Microsoft SQL Server, have a fixed schema, meaning the structure of the database is defined in advance and cannot be changed easily. | NoSQL (Not only SQL) databases, on the other hand, do not have a fixed schema and are often used to handle large amounts of unstructured or semi- structured data. |
| In almost all situations SQL databases are vertically scalable. This means that you can increase the load on a single server by increasing things like RAM, CPU or SSD. | NoSQL databases are horizontally scalable. This means that you handle more traffic by sharding, or adding more servers in your NoSQL database. |
| SQL databases follow ACID properties (Atomicity, Consistency, Isolation and Durability). | NoSQL database follows the Brewers CAP theorem (Consistency, Availability and Partition tolerance). |
| Examples: MySQL, PostgreSQL, Oracle, MS-SQL Server, etc. | Examples: MongoDB, GraphQL, HBase, Neo4j, Cassandra, etc. |
41 views
