

Couchbase Enterprise and Microsoft Azure Cosmos DB compete in the NoSQL database category. Based on various comparisons, Cosmos DB seems to have an edge due to its seamless cloud integration and global accessibility.
Features: Couchbase Enterprise highlights superior horizontal scalability, ease in application and data merging, and robust documentation. It offers Sync Gateway for mobile support and low latency multi-database paradigms. Cosmos DB provides multi-modal database capabilities, globally distributed access, and flexible scaling. Its ecosystem integration and adaptability across APIs like MongoDB and Gremlin are significant advantages.
Room for Improvement: Couchbase Enterprise could enhance failover processes, integration documentation, and cluster management. Some users point to challenges with certain upgrades and replication reliability. Cosmos DB could improve its complex pricing models, integration with third-party solutions, and end-user documentation, with feedback also suggesting better cost management and support for complex queries.
Ease of Deployment and Customer Service: Couchbase Enterprise offers deployment flexibility across public, private, and hybrid clouds, including on-premises. However, customer support receives mixed reviews concerning responsiveness. Cosmos DB focuses on public cloud deployments with consistent support quality, though users note potential improvements in integration support and client communication.
Pricing and ROI: Couchbase Enterprise is considered reasonably priced due to low integration costs and high ROI in operational efficiency. It offers various licensing options but may incur additional costs for supplemental tools. Cosmos DB is seen as expensive with a complex resource unit-based pricing model, though it provides value through scalability and cloud-native benefits, often suiting larger enterprises due to high availability and performance costs, demanding prudent usage to maintain cost-effectiveness.
Reducing costs by half and supporting around five times the non-peak user volume during peak hours.
Couchbase maintained consistent productivity as a finished solution that worked well, saving us time dealing with something less efficient.
Getting an MVP of that project would have taken six to eight months, but because we had an active choice of using Azure Cosmos DB and other related cloud-native services of Azure, we were able to get to an MVP stage in a matter of weeks, which is six weeks.
You can react quickly and trim down the specs, memory, RAM, storage size, etc. It can save about 20% of the costs.
When I have done comparisons or cost calculations, I have sometimes personally seen as much as 25% to 30% savings.
The support team has been helpful with VNET configuration, Sync Gateway, and other technical issues.
We used the documentation, which was well-written and clear.
Premier Support has deteriorated compared to what it used to be, especially for small to medium-sized customers like ours.
The response was quick.
I would rate customer service and support a nine out of ten.
Couchbase is extremely scalable, which is critical when handling high throughput and load.
It was easily scalable, which is expected from a NoSQL database.
The system scales up capacity when needed and scales down when not in use, preventing unnecessary expenses.
We like that it can auto-scale to demand, ensuring we only pay for what we use.
We have had no issues with its ability to search through large amounts of data.
We didn't experience any downtime, and the data stayed there consistently.
Couchbase is highly stable, rated at nine out of ten.
Once it's set up, it's easy to use, and there are no headaches.
We have multiple availability zones, so nothing goes down.
Azure Cosmos DB would be a good choice if you have to deploy your application in a limited time frame and you want to auto-scale the database across different applications.
I would rate it a ten out of ten in terms of availability and latency.
I would like Couchbase to provide more functionality via the UI, as some operations, such as time-based scaling, currently require using the API.
This delay meant that data on another database, Elasticsearch, was not always up to date, which could be noticed in the games.
What is missing is that they have a new version, Couchbase Mobile three, but they haven't really updated or provided help or documentation about what needs to change to update to the latest mobile version.
We must ensure data security remains the top priority.
You have to monitor the Request Units.
The dashboard could include more detailed RU descriptions, IOPS, and compute metrics.
It can range between 25,000 to 40,000 Euros per year depending on company requirements.
They did update, and since then, I haven't had any problems anymore.
Initially, it seemed like an expensive way to manage a NoSQL data store, but so many improvements that have been made to the platform have made it cost-effective.
Cosmos DB is expensive, and the RU-based pricing model is confusing.
Cosmos DB is great compared to other databases because we can reduce the cost while doing the same things.
The most valuable features of Couchbase include the key-value storage due to its speed and the multi-master capability, which provides more speed and scalability compared to master-slave databases.
The best thing about Couchbase is its versatility in handling data.
We didn't experience any downtime.
The most valuable feature of Microsoft Azure Cosmos DB is its real-time analytics capabilities, which allow for turnaround times in milliseconds.
Performance and security are valuable features, particularly when using Cosmos DB for MongoDB emulation and NoSQL.
The performance and scaling capabilities of Cosmos DB are excellent, allowing it to handle large workloads compared to other services such as Azure AI Search.
| Product | Market Share (%) |
|---|---|
| Microsoft Azure Cosmos DB | 6.7% |
| Couchbase Enterprise | 8.0% |
| Other | 85.3% |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 2 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 33 |
| Midsize Enterprise | 21 |
| Large Enterprise | 58 |
Couchbase Enterprise offers powerful data management capabilities with features like horizontal scalability, ease of use, and flexible tools for business applications. Designed for high performance and reliability, it supports multi-master capability and low latency, making it ideal for dynamic environments.
Designed for businesses needing crucial data management, Couchbase Enterprise offers advanced indexing, analytics engines, and efficient storage for performance enhancement. It provides flexibility with data types, robust data sync, and supports a dynamic API for seamless integration. Its intuitive query language simplifies operations, ensuring businesses navigate effortlessly while enjoying high availability and extensive features. Despite this, challenges exist in areas like manual failover processes, complex upgrades, and UI limitations, necessitating enhancements in concurrency, integration, and security features. Performance issues on certain platforms add to the need for improved documentation and support.
What are Couchbase Enterprise’s most important features?Couchbase Enterprise is deployed across industries for its excellent data handling capabilities. It empowers telemedicine, e-commerce, gaming, and telecommunications sectors by offering efficient data link utilization, caching, and logging. Some companies leverage its real-time data replication with Elasticsearch for high-performance operational needs, while others benefit from its capabilities in managing reads and writes in iGaming. Retail industries use its document-based storage for structured inventory management, and cloud migrations are simplified with support from Capella.
Microsoft Azure Cosmos DB offers scalable, geo-replicated, multi-model support with high performance and low latency. It provides seamless Microsoft service integration, benefiting those needing flexible NoSQL, real-time analytics, and automatic scaling for diverse data types and quick global access.
Azure Cosmos DB is designed to store, manage, and query large volumes of both unstructured and structured data. Its NoSQL capabilities and global distribution are leveraged by organizations to support activities like IoT data management, business intelligence, and backend databases for web and mobile applications. While its robust security measures and availability are strengths, there are areas for improvement such as query complexity, integration with services like Databricks and MongoDB, documentation clarity, and performance issues. Enhancements in real-time analytics, API compatibility, cross-container joins, and indexing capabilities are sought after. Cost management, optimization tools, and better support for local development also require attention, as do improvements in user interface and advanced AI integration.
What are the key features of Azure Cosmos DB?Industries use Azure Cosmos DB to support business intelligence and IoT data management, using its capabilities for backend databases in web and mobile applications. The platform's scalability and real-time analytics benefit sectors like finance, healthcare, and retail, where managing diverse datasets efficiently is critical.
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