The document compares Oracle and MongoDB databases. It shows that MongoDB has faster average read/write times per operation than Oracle. It also lists several key differences between the two databases, such as Oracle supporting ACID transactions while MongoDB does not, and MongoDB being open source while Oracle is not. Examples of basic insert, select, and update queries are also shown for both databases.

1. CIF
ORACLE VS MONGODB

2. CIF MAIN TABLES

3. ORACLE AGV TIME PER BLOCK: 10MS

4. MONGODB AGV TIME PER DOCUMENT: 0MS

5. DATABASE

6. ORACLE VS MONGODB
Oracle MongoDB NoSQL Data Store
Open source No Yes Yes
ACID Transactions Yes Yes* No
Flexible, rich data model No Yes
Partial: schema flexibility but
support for only simple data
structures
Schema governance Yes Yes No
Expressive joins, faceted search, graphs
queries, powerful aggregations
Yes Yes No
Idiomatic, native language drivers No Yes No
Horizontal scale-out with data locality
controls
No Yes
Partial: no controls over data
locality
Analytics and BI ready Yes Yes No
Enterprise grade security and mature
management tools
Yes Yes No
Database as a service on all major
clouds
Partial: AWS and
Oracle cloud
Yes No

7. EXAMPLE
ORACLE MONGODB
INSERT INTO users (user_id,
age, status)
VALUES ('bcd001', 45, 'A')
db.users.insert({
user_id: 'bcd001',
age: 45,
status: 'A'
})
SELECT * FROM users db.users.find()
UPDATE users SET status = 'C'
WHERE age > 25
db.users.update(
{ age: { $gt:
25 } },
{ $set: { status:
'C' } },
{ multi: true }