Microsoft Corporation

Azure Cosmos DB

Composite Score

7.8 /10

CX Score

8.1 /10

20 Reviews Write a Review

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What is Azure Cosmos DB?

Azure Cosmos DB is a fully managed NoSQL database service for modern app development with guaranteed single-digit millisecond response times and 99.999-per cent availability, backed by SLAs, automatic and instant scalability, and open-source APIs for MongoDB and Cassandra. Azure Cosmos DB offers a solution for modern apps and intelligent workloads by being very responsive with dynamic and elastic autoscale. It is available in every Azure region and can automatically replicate data closer to users.

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Azure Cosmos DB Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Azure Cosmos DB.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

82 Likeliness to Recommend

100 Plan to Renew

85 Satisfaction of Cost Relative to Value

1
Since last award

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Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+87 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Azure Cosmos DB?

5% Negative

6% Neutral

89% Positive

Pros

Helps Innovate
Enables Productivity
Inspires Innovation
Saves Time

Feature Ratings

Average 88

High Speed & Online Transaction Processing

100

Big Data Analytics

100

Analytics and Reporting

100

High Availability

Hybrid Transaction and Analytical Support

Distributed Processing

Data Virtualization

Operations Management

Data Protection and Security

Data Monitoring and Administration

Systems Performance Management

Vendor Capability Ratings

Average 80

Availability and Quality of Training

Business Value Created

Product Strategy and Rate of Improvement

Vendor Support

Usability and Intuitiveness

Ease of Implementation

Quality of Features

Ease of IT Administration

Ease of Data Integration

Breadth of Features

Ease of Customization

Azure Cosmos DB Reviews

Avleen K.

Role: Information Technology
Industry: Communications
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Oct 2023

Easy to use but with a price

Likeliness to Recommend

9 /10

What differentiates Azure Cosmos DB from other similar products?

azure cosmos provides different apis for no sql , postgres , mongo so one can use cosmos for every type of database good concept of RU based consumption Easy to provision from ARM templates and dependency checks

What is your favorite aspect of this product?

shared database model where RU's can be distributed

What do you dislike most about this product?

High cost, we have used atals mongo which comes at less than 30 percent cost

What recommendations would you give to someone considering this product?

try to explore different database models , dont blindly provision cause it can incur the cost

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Cons

Less Respectful

Subrahmanyam S.

Role: Finance
Industry: Technology
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Aug 2023

Scalable and Versatile Database Service

Likeliness to Recommend

9 /10

What differentiates Azure Cosmos DB from other similar products?

Global Distribution: Azure Cosmos DB offers built-in global distribution with multi-region replication, allowing data to be seamlessly replicated and distributed across multiple Azure regions with low-latency access for users around the world. Multi-Model Support: Unlike many other databases that are designed for specific data models (e.g., relational, document, graph), Azure Cosmos DB supports multiple data models, including document, key-value, graph, column-family, and wide-column, providing flexibility for diverse application needs.

What is your favorite aspect of this product?

data retrieval delays. SLA-Backed Availability: Microsoft guarantees high availability with financially backed service-level agreements (SLAs) for uptime and data durability, ensuring your application remains operational even in the event of failures. Multi-API Compatibility: Azure Cosmos DB supports multiple APIs, including SQL (DocumentDB), MongoDB, Cassandra, Gremlin (graph), and Table APIs, enabling seamless migration and integration with existing applications.

What do you dislike most about this product?

Complexity: Users might find Azure Cosmos DB to be complex to set up and configure, especially for those who are new to NoSQL databases or distributed systems. Cost: The pricing structure of Azure Cosmos DB can be perceived as complex, and organizations might need to carefully manage their resource usage to avoid unexpected costs. Learning Curve: Due to its flexibility and wide array of features, there might be a learning curve for users and developers who are not familiar with NoSQL databases or distributed systems.

What recommendations would you give to someone considering this product?

Built-In Monitoring and Insights: Azure Cosmos DB includes built-in monitoring and insights through Azure Monitor, enabling you to track performance metrics, diagnose issues, and optimize resource usage. Operational Simplicity: Azure Cosmos DB manages various operational tasks, including backups, replication, failover, and patches, relieving you of many administrative burdens. Global Data Distribution: With Azure Cosmos DB's multi-master replication and global distribution capabilities, you can create applications that write data to multiple regions, enhancing data availability and disaster recovery.

Pros

Helps Innovate
Enables Productivity
Caring
Client Friendly Policies

Sarbpreet S.

Role: Information Technology
Industry: Shipping
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Jun 2023

Speed-up your heavy data Website

Likeliness to Recommend

7 /10

What differentiates Azure Cosmos DB from other similar products?

I have not used any NoSql Databases except this one so nothing that I can compare with. I have used Cosmos DB to store large before actually moving it to my final DB i.e. T-sql

What is your favorite aspect of this product?

Cosmos DB is reliable and its container creating feature is very useful to store different sets of data.

What do you dislike most about this product?

I had difficulty setting it up and understanding. In 2020, there were not many resources to learn from but now I can see huge number of organizations using this hence, plenty of people to learn from,.

What recommendations would you give to someone considering this product?

If you want to save time while saving data to DB and you want to process it before saving then Cosmos DB is the best option to choose.

Pros

Helps Innovate
Reliable
Performance Enhancing
Enables Productivity

Azure Cosmos DB

What is Azure Cosmos DB?

Company Details

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Awards & Recognition

Azure Cosmos DB Ratings

82 Likeliness to Recommend

100 Plan to Renew

85 Satisfaction of Cost Relative to Value

1 Since last award

Emotional Footprint Overview

+87 Net Emotional Footprint

How much do users love Azure Cosmos DB?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

High Speed & Online Transaction Processing Also referred to as OLTP (Online Transaction processing). OLTP databases include strong support for CRUD operations and ACID compliance.

Big Data Analytics Use of big data analytics through integration into purpose-built big data tools or native capabilities, incorporating advanced security methods.

Analytics and Reporting Includes historical & real-time dashboard visualizations, detailed & summary reporting and easy data extraction for data analysis.

High Availability HA DB designed for near-zero downtown by seamless replication of data between environments for uninterrupted real-time access and fail-over capabilities.

Hybrid Transaction and Analytical Support Includes OLTP and OLAP (Online Analytical Processing). Most OLTP systems support some level of OLAP but very few OLAP systems support OLTP.

Distributed Processing Data storage and processing is shared among many physical or virtual independents servers or sites for high volume data with seamless access to large datasets.

Data Virtualization Includes ability to create views joining disparate data sources without the need for persistence.

Operations Management Includes cost control, production management, and performance management.

Data Protection and Security Includes data encryption, data audit, and data compliance.

Data Monitoring and Administration Includes ability to continuously monitored data quality rules, as well as generate alerts to notify data stewards when they need to address an issue.

Systems Performance Management Includes monitoring, analyzing and configuration in order to optimize performance and increase efficiency.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Azure Cosmos DB Reviews

Avleen K.

Easy to use but with a price

Likeliness to Recommend

Pros

Cons

Subrahmanyam S.

Scalable and Versatile Database Service

Likeliness to Recommend

Pros

Sarbpreet S.

Speed-up your heavy data Website

Likeliness to Recommend

Pros

Most Popular Azure Cosmos DB Comparisons

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Amazon Aurora

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Cloudera Operational Database

1
Since last award

Feature Ratings

High Speed & Online Transaction Processing

Big Data Analytics

Analytics and Reporting

High Availability

Hybrid Transaction and Analytical Support

Distributed Processing

Data Virtualization

Operations Management

Data Protection and Security

Data Monitoring and Administration

Systems Performance Management

Vendor Capability Ratings

Availability and Quality of Training

Business Value Created

Product Strategy and Rate of Improvement

Vendor Support

Usability and Intuitiveness

Ease of Implementation

Quality of Features

Ease of IT Administration

Ease of Data Integration

Breadth of Features

Ease of Customization