i have this presentation of 3 people on comparison of dbms which is supposed to be about 15 mins long, so each person gets 5 minutes, so for that  generate a script for SLIDE 4,7,10,13 and the comparison section so it lasts atleast 5 minutes

Slide 1: Introduction
Title: Differences in DBMS: SQL Server, Versant, and MongoDB
Slide 2: Introduction
Title: Introduction
A database management system (DBMS) is a software application that allows users to create, manage, and manipulate data
Different DBMS have varying data models, scalability, and consistency models
SQL Server, Versant, and MongoDB are three popular DBMS that have distinct characteristics
Slide 3: Overview of SQL Server
Title: SQL Server
Developed by Microsoft
Relational database management system (RDBMS)
SQL is used to manage data in the form of tables
Supports various data types and data models
Widely used for enterprise applications
Slide 4: Overview of Versant
Title: Versant
Object-oriented database management system (OODBMS)
Developed by Actian Corporation
Stores data as objects, rather than in tables
Supports complex data models
Used in real-time applications, such as telecommunications and finance
Slide 5: Overview of MongoDB
Title: MongoDB
Document-oriented database management system (NoSQL)
Developed by MongoDB Inc.
Stores data as JSON-like documents
Schema-free database
Used in web applications and Big Data processing
Slide 6: Data Modeling in SQL Server
Title: Data Modeling in SQL Server
SQL Server uses the relational data model
Data is stored in tables with columns and rows
Primary and foreign keys are used to establish relationships between tables
SQL is used to create, modify, and query the database
Slide 7: Data Modeling in Versant
Title: Data Modeling in Versant
Versant uses the object-oriented data model
Data is stored as objects with attributes and methods
Objects can have relationships with other objects
NoSQL query language is used to access the database
Slide 8: Data Modeling in MongoDB
Title: Data Modeling in MongoDB
MongoDB uses the document-oriented data model
Data is stored as documents with fields and values
Documents can have nested documents and arrays
NoSQL query language is used to access the database
Slide 9: Scalability in SQL Server
Title: Scalability in SQL Server
SQL Server supports vertical scalability, which means adding more resources to a single server
Supports horizontal scalability with distributed queries and partitioning
Can handle large volumes of data and high transaction rates
Slide 10: Scalability in Versant
Title: Scalability in Versant
Versant supports both vertical and horizontal scalability
Can handle large volumes of data and high transaction rates
Has built-in support for distributed architectures
Slide 11: Scalability in MongoDB
Title: Scalability in MongoDB
MongoDB supports horizontal scalability through sharding
Can handle large volumes of data and high transaction rates
Sharding enables distribution of data across multiple servers
Slide 12: Consistency in SQL Server
Title: Consistency in SQL Server
SQL Server enforces strong consistency, ensuring that transactions are executed in a predictable order
Uses locking and logging mechanisms to prevent conflicts and ensure data integrity
Suitable for applications with high consistency requirements, such as finance and accounting
Slide 13: 
Title: Consistency in Versant
Versant provides support for ACID transactions to maintain data consistency
Uses locking mechanisms to ensure that transactions are executed in a predictable order
Suitable for applications with high consistency requirements, such as banking and finance

Slide 14: Consistency in MongoDB
Title: Consistency in MongoDB
MongoDB supports eventual consistency, which means that data may not be immediately consistent across all nodes in a cluster
Uses configurable consistency models, such as "strong" and "eventual," to balance consistency and availability
Suitable for applications with less stringent consistency requirements, such as social media and gaming.


COMPARISON
Data Access:
SQL Server: Powerful data access capabilities with support for views, stored procedures, and triggers.

Versant: More limited data access and manipulation capabilities than SQL Server and no support for SQL.
MongoDB: Provides powerful data access capabilities with support for aggregation and indexing.
Integrity:
SQL Server: Ensures data integrity with the RDBMS architecture and ACID-compliant transactions.
Versant: Ensures data integrity with object locking and optimistic concurrency control.
MongoDB: Has a more relaxed integrity than SQL Server with eventual consistency and fewer transactional guarantees.
Flexibility:
SQL Server: Provides high flexibility with the ability to store and manipulate various data types.
Versant: Offers high flexibility and performance due to its object-oriented architecture and efficient query processing.
MongoDB: Offers high flexibility and performance due to its schema-free architecture and support for complex data structures.

Conclusion:
SQL Server is a traditional RDBMS that enforces strong consistency.
Versant is an OODBMS that stores data as objects and supports complex data models.
MongoDB is a NoSQL document-oriented database that provides horizontal scalability and eventual consistency.
Each DBMS has unique strengths and weaknesses.
The choice of DBMS depends on the specific needs of the application.
Careful evaluation of requirements is necessary before selecting a DBMS.