Our primary use case for Couchbase is related to the iGaming industry, particularly for high-performance reads and writes to meet our SLA for high volumes. We have a particular use case where there is an SLA of one second, and Couchbase is critical for ensuring our wallet operations function correctly.
Couchbase Server
Couchbase | 7.6.3Linux/Unix, Amazon Linux Amazon Linux 2 2.0.20200904.0 Update - 64-bit Amazon Machine Image (AMI)
External reviews
External reviews are not included in the AWS star rating for the product.
I feel like its pretty straightforward and easy to use
Powerful NoSQLDatabse. Overall good expeirience.
Overall I was really impressed by the support and actual use of the tool.
great NoSqul Solution you need to try
Efficient operations and cost reduction achieved through multi-master flexibility
What is our primary use case?
How has it helped my organization?
Couchbase, being a multi-master solution, allows us to process more load and has enabled us to scale more significantly with lower costs, especially under high user spikes.
What is most valuable?
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 support for syntax that allows reading by properties sets Couchbase apart from alternatives like Redis. Additionally, Couchbase's N1QL query language minimizes the learning curve for developers, facilitating an easier adaptation to the technology.
What needs improvement?
I would like Couchbase to provide more functionality via the UI, as some operations, such as time-based scaling, currently require using the API. While I find Couchbase's feature set to be generally satisfactory, adding more UI-based configuration options would be beneficial.
For how long have I used the solution?
I have used Couchbase for four years.
What do I think about the stability of the solution?
Couchbase is highly stable, rated at nine out of ten.
Stability is crucial as it prevents users from turning to competitors.
What do I think about the scalability of the solution?
Couchbase is extremely scalable, which is critical when handling high throughput and load.
I rate its scalability at ten out of ten.
How are customer service and support?
I rate customer service at ten out of ten. The support team has been helpful with VNET configuration, Sync Gateway, and other technical issues.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
We previously used Mongo database but switched to Couchbase since it is a multi-master solution, allowing us to process more load and scale with lower costs.
How was the initial setup?
The initial setup is quick with Couchbase Capella, taking about 30 minutes. Deployment on Kubernetes or VMs may require about half a day for setup.
What about the implementation team?
Typically, one person is sufficient for deployment, especially with Couchbase Capella. For in-house deployment, one or a maximum of two people can handle the configuration.
What was our ROI?
Investing in Couchbase has significantly lowered our operational costs and increased throughput, reducing costs by half and supporting around five times the non-peak user volume during peak hours.
What's my experience with pricing, setup cost, and licensing?
The pricing of Couchbase varies depending on the usage. It can range between 25,000 to 40,000 Euros per year depending on company requirements.
Which other solutions did I evaluate?
We evaluated Mongo database but chose Couchbase due to its multi-model flexibility and the advantages of being a multi-master database.
What other advice do I have?
Couchbase, especially under high load conditions, is imperative for providing a great user experience due to its stability and scalability, which reduces costs and scales efficiently.
I rate Couchbase at nine out of ten.
Which deployment model are you using for this solution?
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Supports multiple data models and offers AI capabilities
What is our primary use case?
In my company, we use the enterprise version of Couchbase, and it is used across the organization for its database operations. We do only use the NoSQL database, not Couchbase Capella.
The tool is mostly for document-based storage of Cisco, which is a retail company. We manage a lot of product information and send a lot of metadata that we generate for all of our orders, including baskets and other aspects. We use Couchbase heavily for document-based storage purposes.
What is most valuable?
The most valuable feature of the solution stems from the ease of operation with Couchbase, and it has a lot of extensive features that it provides because it's not a document-based storage. We can also do basic operations on those documents, like indexing important fields, a full-text search, and advanced machine learning operations, like vector search. The tool is pretty easy to use and work with as it is a schema-less tool, so we don't have to work too much on defining the schema for the tables or the documents. It is very easy to onboard the tool to work for the new teams. It is a very extensible tool. My company gets a lot of good support from them as well, and their documentation is also pretty good, which we have found. Compared to other tools, such as the best document-based storage, MongoDB, and others, Couchbase works pretty well. Couchbase also provides good offerings in terms of the different features that we need from different DBs, like searching operations and materialized views. The tool works pretty well. The tool also provides very good latency on high loads. The scalability and the reliability are also other important aspects of the tool.
What needs improvement?
With some of the operations, we used to face some challenges with scalability. Although it worked pretty well, in some scenarios, we noticed issues where the replications and the sharding were not happening correctly. In recent versions, we also faced some issues in terms of enabling advanced operations like FTS and vectors. Although it works pretty well, in some places, we do face challenges, especially on a heavy scale. I think all issues are being addressed in the latest version of Couchbase.
The resources are not that good for Couchbase. The tool's documentation is pretty extensive, but if you go for any kind of courses or tutorials, there are very limited resources available. It also becomes a little bit challenging for new people to get onboard into it. MongoDB and other such open-source database tools perform really well as they're really widely adopted, and they have resources available to get you onboarded pretty quickly. I think that we do face some challenges with Couchbase, but luckily, we have the tool's enterprise version solution, so we get all the support from the product team.
For how long have I used the solution?
I have been using Couchbase for two or three years. I am a customer of Couchbase.
How are customer service and support?
I rate the technical support a nine out of ten.
How would you rate customer service and support?
Positive
How was the initial setup?
The product's initial setup phase is easy.
The solution can be deployed in two to three minutes.
What other advice do I have?
I suggest the tool to others as it is heavily, working a lot on improving the database framework.
The tool offers support for multiple data models.
We do need to maintain the tool as there is a need to upgrade it, and we do need to do continuous patching. We do have a central team for Couchbase, and they manage it for us. They are actively working with Couchbase's enterprise team to do all those operations, like patching, server upgrade, and backup, but it all requires some kind of support.
The tool has some AI capabilities, as you can do vector search, semantic search, groupings, and using open-source models and enabling them on the database so that we can structure our data better and do things like advanced search operations.
I rate the tool an eight out of ten.