Comparison of SQL and NoSQL Databases
"Explore the differences between SQL and NoSQL databases, including popular database management systems like Oracle, MySQL, MongoDB, and more. Learn about their features, advantages, and use cases in this comprehensive comparison."
Download Presentation
Please find below an Image/Link to download the presentation.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author. If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.
You are allowed to download the files provided on this website for personal or commercial use, subject to the condition that they are used lawfully. All files are the property of their respective owners.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.
E N D
Presentation Transcript
DB-Engines , , , . 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. Oracle MySQL Microsoft SQL Server PostgreSQL MongoDB DB2 Microsoft Access Cassandra Redis Elasticsearch SQLite Teradata SAP Adaptive Server Solr Splunk HBase MariaDB Hive FileMaker SAP HANA Relational DBMS Relational DBMS Relational DBMS Relational DBMS Document store Relational DBMS Relational DBMS Wide column store Key-value store Search engine Relational DBMS Relational DBMS Relational DBMS Search engine Search engine Wide column store Relational DBMS Relational DBMS Relational DBMS Relational DBMS SQL
DB-Engines 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. Oracle MySQL Microsoft SQL Server PostgreSQL MongoDB DB2 Microsoft Access Cassandra Redis Elasticsearch SQLite Teradata SAP Adaptive Server Solr Splunk HBase MariaDB Hive FileMaker SAP HANA Relational DBMS Relational DBMS Relational DBMS Relational DBMS Document store Relational DBMS Relational DBMS Wide column store Key-value store Search engine Relational DBMS Relational DBMS Relational DBMS Search engine Search engine Wide column store Relational DBMS Relational DBMS Relational DBMS Relational DBMS
DB-Engines 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. Oracle MySQL Microsoft SQL Server PostgreSQL MongoDB DB2 Microsoft Access Cassandra Redis Elasticsearch SQLite Teradata SAP Adaptive Server Solr Splunk HBase MariaDB Hive FileMaker SAP HANA Relational DBMS Relational DBMS Relational DBMS Relational DBMS Document store Relational DBMS Relational DBMS Wide column store Key-value store Search engine Relational DBMS Relational DBMS Relational DBMS Search engine Search engine Wide column store Relational DBMS Relational DBMS Relational DBMS Relational DBMS + SQL Server Management Studio (SSMS)
SELECT USE Training SELECT * FROM People /* F5 */
SELECT USE Training SELECT * FROM People
SELECT SELECT Surname, Age FROM People
SELECT SELECT Surname, Age FROM People
SELECT SELECT Surname, Age FROM People WHERE Name = ' ' AND Age < 35
SELECT SELECT Surname, Age FROM People WHERE Name = ' ' AND Age < 35 AND Age > 30
SELECT SELECT Surname, Age FROM People WHERE Name = ' ' AND Age < 35 AND Age > 30 OR Name = '
SELECT SELECT Surname, Age FROM People WHERE Name = ' ' AND (*) Age < 35 AND (*) Age > 30 OR (+) Name = '
SELECT SELECT Surname, Age FROM People WHERE Age < 20
SELECT SELECT Surname, Age FROM People WHERE Age < 20 ORDER BY Age
SELECT SELECT Surname, Age FROM People WHERE Age < 35 ORDER BY Age DESC
JOIN SELECT * FROM People INNER JOIN Region ON People.Region = Region.RegionId
JOIN SELECT Name, Surname, RegionName FROM People INNER JOIN Region ON People.Region = Region.RegionId
UPDATE SELECT * FROM People WHERE Name = '
UPDATE SELECT * FROM People WHERE Name = ' UPDATE People SET Age = 10 WHERE Name = '
UPDATE UPDATE People SET Age = 10 WHERE Name = ' SELECT * FROM People WHERE Name = '
UPDATE UPDATE People SET Age = 10, Region = 50 WHERE Name = ' SELECT * FROM People WHERE Name = '
INSERT INSERT INTO People (Name, Surname, Age, Gender, Region) VALUES (' ',' ',25,'Female',10)
INSERT INSERT INTO People (Name, Surname, Age) VALUES (' ',' ',25)
INSERT INSERT INTO People VALUES (' ',' ',25,'Female',10)
INSERT INSERT INTO People VALUES (' ',' ',25,'Female',10), (' ',' ',25,'Female',10), (' ',' ',25,'Female',10)
DELETE Select * FROM People WHERE Age < 35
DELETE DELETE FROM People WHERE Age < 35
