Couchbase Server vs. IBM Cloud Databases

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Couchbase Server
Score 8.6 out of 10
N/A
Couchbase Server is a cloud-native, distributed database that fuses the strengths of relational databases such as SQL and ACID transactions with JSON flexibility and scale that defines NoSQL. It is available as a service in commercial clouds and supports hybrid and private cloud deployments.N/A
IBM Cloud Databases
Score 8.1 out of 10
N/A
IBM Cloud Databases are open source data stores for enterprise application development. Built on a Kubernetes foundation, they offer a database platform for serverless applications. They are designed to scale storage and compute resources seamlessly without being constrained by the limits of a single server. Natively integrated and available in the IBM Cloud console, these databases are now available through a consistent consumption, pricing, and interaction model. They aim to provide a cohesive…N/A
Pricing
Couchbase ServerIBM Cloud Databases
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Couchbase ServerIBM Cloud Databases
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeOptionalNo setup fee
Additional Details
More Pricing Information
Community Pulse
Couchbase ServerIBM Cloud Databases
Features
Couchbase ServerIBM Cloud Databases
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Couchbase Server
8.9
96 Ratings
0% above category average
IBM Cloud Databases
-
Ratings
Performance8.996 Ratings00 Ratings
Availability9.495 Ratings00 Ratings
Concurrency8.993 Ratings00 Ratings
Security9.093 Ratings00 Ratings
Scalability9.494 Ratings00 Ratings
Data model flexibility9.094 Ratings00 Ratings
Deployment model flexibility8.093 Ratings00 Ratings
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Couchbase Server
-
Ratings
IBM Cloud Databases
7.3
94 Ratings
15% below category average
Automatic software patching00 Ratings8.577 Ratings
Database scalability00 Ratings9.988 Ratings
Automated backups00 Ratings7.091 Ratings
Database security provisions00 Ratings9.084 Ratings
Monitoring and metrics00 Ratings4.088 Ratings
Automatic host deployment00 Ratings5.369 Ratings
Best Alternatives
Couchbase ServerIBM Cloud Databases
Small Businesses
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Couchbase ServerIBM Cloud Databases
Likelihood to Recommend
9.0
(98 ratings)
8.0
(96 ratings)
Likelihood to Renew
2.1
(3 ratings)
8.0
(7 ratings)
Usability
8.0
(1 ratings)
8.0
(7 ratings)
Availability
8.0
(1 ratings)
-
(0 ratings)
Performance
9.3
(94 ratings)
-
(0 ratings)
Support Rating
8.5
(5 ratings)
1.0
(10 ratings)
Product Scalability
7.0
(52 ratings)
-
(0 ratings)
User Testimonials
Couchbase ServerIBM Cloud Databases
Likelihood to Recommend
Couchbase
Best suited when edge devices have interrupted internet connection. And Couchbase provides reliable data transfer. If used for attachment Couchbase has a very poor offering. A hard limit of 20 MB is not okay. They have the best conflict resolution but not so great query language on Couchbase lite.
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IBM
Less Appropriate Scenario: 1) Small Scale or Low Budget Projects 2) Organizations with limited expertise in cloud technologies may find the learning curve steep, especially if they are not familiar with the IBM Cloud platform 3) If database requirements are highly dynamic and change frequently, the comprehensive features and management provided by IBM Cloud Databases might be overkill. A more flexible, self-managed solution could be preferable for adapting to rapid changes.
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Pros
Couchbase
  • Couchbase performance is exceptional both for in-memory and persisted transactions.
  • Handling of node failures and cluster rebalancing (high availability).
  • Enterprise support from Couchbase themselves
  • Good documentation
  • Streaming of bucket (database) level mutations via their Database Change Protocol (DCP).
  • Replication of datasets between native clients and Couchbase buckets
  • Handling of simultaneous writes to the same record with performance penalties
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IBM
  • The ease of setup was effortless. For anyone with development experience, a few simple questions such as name and login data will get you set up.
  • The web application to manage cluster settings, billing settings and even introspect the data was simple and most importantly worked all the time. This can not always be said for web interfaces of other products.
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Cons
Couchbase
  • The N1QL engine performs poorly compared to SQL engines due to the number of interactions needed, so if your use case involves the need for a lot of SQL-like query activity as opposed to the direct fetch of data in the form of a key/value map you may want to consider a RDBMS that has support for json data types so that you can more easily mix the use of relational and non-relational approaches to data access.
  • You have to be careful when using multiple capabilities (e.g. transactions with Sync Gateway) as you will typically run into problems where one technology may not operate correctly in combination with another.
  • There are quality problems with some newly released features, so be careful with being an early adopter unless you really need the capability. We somewhat desperately adopted the use of transactions, but went through multiple bughunt cycles with Couchbase working the kinks out.
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IBM
  • Better cost reports, before just increasing to another tier, thus increasing the price. This is critical for early stage startups, where budget is tight.
  • Add more data center options. As a comparison, a similar service, Aiven.io has dozen more options than Compose (basically all big cloud providers). We moved from AWS to Digital Ocean, which made us stop using Compose, since Compose forces us to be either on IBM or AWS.
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Likelihood to Renew
Couchbase
I rarely actually use Couchbase Server, I just stay up-to-date with the features that it provides. However, when the need arises for a NoSQL datastore, then I will strongly consider it as an option
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IBM
IBM is our trusted partner which never failed to meet our expectations. Stability, efficiency, usability and security is a must have for our business which is fully provided by IBM Cloud Databases
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Usability
Couchbase
Couchbase has been quite a usable for our implementation. We had similar experience with our previous "trial" implementation, however it was short lived.
Couchbase has so far exceeded expectation. Our implementation team is more confident than ever before.
When we are Live for more than 6 months, I'm hoping to enhance this rating.
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IBM
IBM Cloud Databases' pricing structure is easy to understand, and if you choose the right product, you can operate your system at minimal cost. Although there is ample documentation available, there doesn't seem to be a user community running on it, so specific usage know-how and troubleshooting can sometimes take longer than expected.
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Performance
Couchbase
One of Couchbase’s greatest assets is its performance with large datasets. Properly set up with well-sized clusters, it is also highly reliable and scalable. User management could be better though, and security often feels like an afterthought. Couchbase has improved tremendously since we started using it, so I am sure that these issues will be ironed out.
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IBM
No answers on this topic
Support Rating
Couchbase
I haven't had many opportunities to request support, I will look forward to better the rating. We have technical development and integration team who reach out directly to TAM at Couchbase.
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IBM
Support is helpful enough, but we haven't always had questions answered in a satisfactory manner. At one time we realized that Compose had stopped taking database snapshots on its two-per-day schedule, and had in fact not taken one for many days. Support recognized the problem and it was fixed, but the lack of proactive checks and the inability to share exactly what happened has caused us to look elsewhere for production work loads
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Alternatives Considered
Couchbase
The Apache Cassandra was one type of product used in our company for a couple of use-cases. The Aerospike is something we [analyzed] not so long time ago as an interesting alternative, due to its performance characteristics. The Oracle Coherence was and is still being used for [the] distributed caching use-case, but it will be replaced eventually by Couchbase. Though each of these products [has] its own strengths and weaknesses, we prefer sticking to Couchbase because of [the] experience we have with this product and because it is cost-effective for our organization.
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IBM
The reason why I choose IBM Cloud Databases is that the IBM cloud toolset is already being used in other functions of the company and by using IBM Cloud Databases, the other cloud tools are better embedded and integrated. If the company is set to use amazon tools, I would go for rds.
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Scalability
Couchbase
So far, the way that we mange and upgrade our clusters has be very smooth. It works like a dream when we use it in concert with AWS and their EC2 machines. Having access to powerful instances along side the Couchbase interface is amazing and allows us to do rebalances or maintenance without a worry
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IBM
No answers on this topic
Return on Investment
Couchbase
  • Great performance.
  • Leading Couchbase Lite capabilities for mobile use.
  • Developers' learning curve with replica reads and multi cluster can be long. Needs guidance and nurturing.
  • Cluster maintenance during OS patching, etc. has multiple ways to approach. Operational teams may need some guidance.
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IBM
  • Prove use cases prior to administering entire platform, obtain ROI faster
  • Able to achieve the technological components of our advanced analytics team without full scale purchase of AI platform
  • Developed several studies to prove out cloud Db value, speed to deploy
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ScreenShots