Cluster Point Quiz

Data visualization

Data storage and retrieval

User authentication

Network monitoring

By limiting the number of nodes in the cluster

By relying on a single centralized server

By replicating data across multiple nodes

By disabling data replication

Relational model

Document-oriented model

Graph model

Key-value model

Relational querying

XML-based indexing

Real-time data processing

Static schema enforcement

Scalability

Fault Tolerance

Real-time Data Processing

High Availability

Flexible Data Model

Multi-Model Support

Security and Compliance

Fault Tolerance

Storing unstructured data

Analyzing structured data

Handling real-time data processing

Managing geographical data

High consistency and low availability

Low consistency and high availability

Strong schema enforcement

Limited scalability options

Ineffective marketing strategies

Lack of fault tolerance features

Overwhelming scalability capabilities

Excessive investment in security measures

Storing static, unchanging data for archival purposes

Analyzing historical trends in large datasets

Processing and responding to streaming sensor data in real-time

Managing occasional, low-volume data transactions