

MongoDB Enterprise Advanced and Couchbase Enterprise are leading contenders in the NoSQL database market. MongoDB has an advantage with its JSON document storage, making it versatile for diverse applications, while Couchbase offers superior write performance.
Features: MongoDB Enterprise Advanced is celebrated for its scalability and flexibility with JSON document storage. It excels in handling unstructured data, enabling real-time analytics and fast read operations. Couchbase Enterprise stands out with its robust document indexing and support for multiple paradigms, excelling in low latency and high write performance.
Room for Improvement: MongoDB Enterprise Advanced can improve in security, particularly with root passwords and stronger data encryption. Users also desire better indexing capabilities and documentation. Couchbase Enterprise users seek improved documentation and seamless integration with existing systems. Both could enhance their security models.
Ease of Deployment and Customer Service: MongoDB Enterprise Advanced supports hybrid, public, and on-premises deployments, though some have pricing concerns with on-premises models. Its customer service experiences are mixed, with some turning to community support. Couchbase Enterprise is praised for its deployment flexibility and satisfactory technical support, though documentation could improve.
Pricing and ROI: MongoDB Enterprise Advanced is recognized for its free community version, but the enterprise license can be costly, albeit more affordable than Oracle. Couchbase Enterprise can seem expensive due to hidden fees, though its pricing is competitive against some rivals. Each offers different licensing models appealing to diverse user bases.
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.
Actually, with MongoDB, it's difficult to calculate the return on investment; it's too expensive for our use.
I would say we see value in money and return on investment with MongoDB Enterprise Advanced.
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.
We have received fairly good support whenever we reached out to the technical teams; they were prompt.
Couchbase is extremely scalable, which is critical when handling high throughput and load.
It was easily scalable, which is expected from a NoSQL database.
In CosmoDB, the scalability is much better than with the MongoDB ReplicaSet models.
MongoDB is highly scalable.
Overall, on a scale of one to ten, I would rate MongoDB an eight; it's mostly because we're still running a monolithic environment on old hardware, so there are some limitations with read-write access.
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.
It's pretty much stable; we have not faced any major challenges or difficulties with MongoDB Enterprise Advanced.
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.
While solutions for other databases like SQL or PostgreSQL already exist, MongoDB requires additional integrations for developing AI solutions.
We have not contracted the security options in our contract because they're too expensive; thus, we implement just encrypted databases and not the security pack.
From the AWS standpoint, if robust integration and data warehouse integration specific tools are added in the advanced suite, that would definitely be helpful.
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.
We use the free version of MongoDB, so there are no licensing costs.
We have to pay approximately 2,000 euros per month for MongoDB.
For a small company, the cost of MongoDB Enterprise Advanced is reasonable, but for heavy data usage, we see a little bit of cost pressure but it's acceptable.
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.
It offers flexibility in schema adaptation, allowing us to change the schema and add new data points.
In ReplicaSet, it's acceptable, but if your workload needs more performance, and you must pass to a Sharding model, it becomes complicated in MongoDB; in Cosmos DB, however, it's simple.
MongoDB has definitely helped us improve our network monitoring and reporting dashboard.
| Product | Market Share (%) |
|---|---|
| MongoDB Enterprise Advanced | 16.2% |
| Couchbase Enterprise | 8.0% |
| Other | 75.8% |


| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 2 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 35 |
| Midsize Enterprise | 13 |
| Large Enterprise | 38 |
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.
MongoDB Enterprise Advanced is a comprehensive platform renowned for its scalability, user-friendliness, and high performance, underpinned by its flexible document-based storage and open-source model. JSON compatibility, clustering, and security elevate its standing among professionals.
The platform facilitates efficient data management through developer-friendly tools and a strong aggregation framework. MongoDB’s no-schema requirement, supported by community expertise, underlines its adaptability. While its sharding capabilities and affordably support large data volumes, there are aspects such as security enhancement and enterprise tool integration that need attention. Indexing and query optimization pose challenges, alongside high costs. Improvements in analytics and UI could advance its infrastructure further.
What are the key features of MongoDB Enterprise Advanced?Industries leverage MongoDB Enterprise Advanced for significant roles in data storage within IoT platforms, healthcare apps, public service monitoring, and big data analytics. Companies in logistics and telecommunications find it instrumental for business process management and video content management, benefiting from its seamless integration and unstructured data support.
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