

MongoDB Enterprise Advanced and Couchbase Enterprise compete in the database solutions category. MongoDB seems to have the upper hand in scalability and ease of development, while Couchbase excels in performance and indexing.
Features: MongoDB offers scalability, JSON capabilities, and a stable, developer-friendly environment with its aggregation framework, and geospatial capabilities. Couchbase provides document indexing, low latency, multiple database paradigms, and strong write performance.
Room for Improvement: MongoDB requires better integration with BI tools, pricing adjustments, and security enhancements, including improved documentation and simplified setups for non-experts. Couchbase could benefit from improved UI design, documentation, integration options, and enhancements in security models, concurrency support, and reliable replication.
Ease of Deployment and Customer Service: MongoDB supports broad deployment and is backed by a strong community, making it suitable for users not requiring enterprise support. Couchbase offers easier deployment in hybrid environments and provides dependable technical support, with strong enterprise backing.
Pricing and ROI: MongoDB offers a free open-source option and competitive pricing for its enterprise version, catering well to smaller companies. Although Couchbase's pricing includes enterprise integrations that may involve additional costs, it offers a strong ROI due to its speed and flexibility.
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 | 13.9% |
| Couchbase Enterprise | 8.0% |
| Other | 78.1% |
| 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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