[
Azure C... Reviews
](https://www.g2.com/products/azure-cosmos-db/reviews)

[
Azure C... Reviews
](https://www.g2.com/products/azure-cosmos-db/reviews)

# Azure Cosmos DB Features

##### 
## Configuration (5)

Application Performance

Functions when integrated with multiple forms of external applications.

Orchestration

Allows admisistrators to manage and organize storage, networks, and datacenters.

Database Monitoring

Monitors performance and statistics related to memory, caches and connections.

Anomaly Detection

Alerts users when unauthorized parties or malware is detected allowing administrators to remedy the issue.

Network Security

Secures data at rest and in transit from unauthorized access.

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##### 
## Database Administration (3)

Provisioning

Allows administrators to organize components of the database to maintain instance efficiency.

Governance

Allows the creating and relinquishing of database access credentials.

Auditing

Documents access and alterations of the database for analytics and reporting.

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##### 
## Availability (15)

Scalability

Expands functionality while maintaining balanced loads. Serves growing demand without reducing functionality.

Backup

The abillity to restore files to its original loacation or alternative sources on-demand.

Archiving

Stores historical records of information for reverting or reference.

Indexing

Helps users navigate databases by labeling and organizing datasets.

Auto Sharding

Implements auto horizontal data partitioning that allows storing data on more than one node to scale out.

Auto Recovery

Restores a database to a correct (consistent) state in the event of a failure.

Data Replication

Copy data across multiple servers through master-slave, peer-to-peer replication architecture etc.

Auto Sharding

Implements auto horizontal data partitioning that allows storing data on more than one node to scale out.

Auto Recovery

Restores a database to a correct(consistent) state in the event of a failure.

Data Replication

Copy data across multiple servers through master-slave, peer-to-peer replication architecture etc.

Auto Sharding

Implements auto horizontal data partitioning that allows storing data on more than one node to scale out.

Auto Recovery

Restores a database to a correct(consistent) state in the event of a failure.

Auto Sharding

Implements auto horizontal data partitioning that allows storing data on more than one node to scale out.

Auto Recovery

Restores a database to a correct (consistent) state in the event of a failure.

Data Replication

Copy data across multiple servers through master-slave, peer-to-peer replication architecture etc.

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##### 
## Security (18)

Data Masking

Data masking provides an additional layer of access control that can be applied to tables and views.

Authentication And Single Sign-On

Verifies identity of database users.

Data Anonymization

Allows users to gain statistically valid insights from their data while protecting the privacy of individuals.

Role-Based Authorization

Provides predefined system roles, privileges, and user-defined roles to users.

Authentication

Allows integration with external security mechanisms like Kerberos, LDAP authentication etc.

Encryption

Provides encryption capability for all the data at rest using encryption keys.

Role-Based Authorization

Provides predefined system roles, privileges, and user-defined roles to users.

Authentication

Allows integration with external security mechanisms like Kerberos, LDAP authentication etc.

Audit Logs

Provides an audit log to track access and operations performed on databases for regulatory compliance.

Encryption

Provides encryption capability for all the data at rest using encryption keys.

Role-Based Authorization

Provides predefined system roles, privileges, and user-defined roles to users.

Authentication

Allows integration with external security mechanisms like Kerberos, LDAP authentication etc.

Audit Logs

Provides an audit log to track access and operations performed on databases for regulatory compliance.

Encryption

Provides encryption capability for all the data at rest using encryption keys.

Role-Based Authorization

Provides predefined system roles, privileges, and user-defined roles to users.

Authentication

Allows integration with external security mechanisms like Kerberos, LDAP authentication etc.

Audit Logs

Provides an audit log to track access and operations performed on databases for regulatory compliance.

Encryption

Provides encryption capability for all the data at rest using encryption keys.

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##### 
## Data Management (13)

Data Replication

Helps in improving the availability of data.

Advanced Data Analytics

Uses machine learning algorithms to gain actionable insights.

Data Model

Stores data as key-value pairs where key is a unique identifier.

Data Types

Supports multiple data types like lists, sets, hashes (similar to map), sorted sets etc.

Data Model

Stores and queries data as JSON-like documents.

Data Types

Supports multiple data types like lists, sets, hashes (similar to map), sorted sets etc.

Built - In Search

Allows users to index at ingest and query endlessly across data.

Event Triggers

Notifies specific events like document inserts, updates, replaces, deletes etc and responds in real-time.

Data Model

Designed to store interconnected data consisting of nodes and edges.

Data Types

Supports multiple data types like lists, sets, hashes (similar to map), sorted sets etc.

Built - In Search

Allows users to index at ingest and query endlessly across data.

Event Triggers

Notifies specific events like document inserts, updates, replaces, deletes etc and responds in real-time.

Query Language

Powerful query language that allows users to access patterns like traversals, JOINs, search, geospatial etc.

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##### 
## Performance (1)

Integrated Cache

Stores frequently-used data in system memory quickly.

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##### 
## Support (10)

Multi-Model

Provides support to handle structured, semi-structured, and unstructured data with equal effect.

Operating Systems

Available on multiple operating systems like Linux, Windows, MacOS etc.

Multi-Model

Provides support to handle structured, semi-structured, and unstructured data with equal effect.

Operating Systems

Available on multiple operating systems like Linux, Windows, MacOS etc.

BI Connectors

Allows users to connect business intelligence tools to the database.

Multi-Model

Provides support to handle structured, semi-structured, and unstructured data with equal effect.

BI Connectors

Allows users to connect business intelligence tools to the database.

Operating Systems

Available on multiple operating systems like Linux, Windows, MacOS etc.

Multi-Model

Provides support to store, index and query data in more than one format.

Operating Systems

Available on multiple operating systems like Linux, Windows, MacOS etc.

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##### 
## Performance (3)

Query Optimization

Helps interpret SQL queries and determine the fastest method of execution

Query Optimization

Helps interpret SQL queries and determine the fastest method of execution

Integrated Cache

Stores frequently-used data in system memory quickly.

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##### 
## Storage (2)

Data Model

Stores data tables as columns.

Data Types

Supports multiple data types like lists, sets, hashes (similar to map), sorted sets etc.

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[
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Azure Cosmos DB Comparisons

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4.5/5

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Azure Redis Cache

3.7/5

(22)

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##### Categories on G2

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