Couchbase Enterprise vs ScyllaDB comparison

Read 12 ScyllaDB reviews

2,346 Views
2,323 Comparison Views

91% willing to recommend

Couchbase Enterprise

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Feb 8, 2026

Couchbase Enterprise and ScyllaDB are prominent contenders in the database solutions category. Based on the features and performance, ScyllaDB seems to have the upper hand due to its high-speed performance in high-volume scenarios, while Couchbase shines in application integration and versatility.

Features: Couchbase Enterprise provides robust horizontal scalability with a dynamic API for flexible document handling, a user-friendly query language, and high-speed operations ideal for analytics. ScyllaDB excels in performance, optimizing I/O operations and data ingestion using its unique architecture. It is favorable for distributed systems due to its scalability and performance reliability.

Room for Improvement: Couchbase users highlight issues with upgrades, documentation gaps, and security model limitations affecting integration. They also note challenges in replication reliability and high integration costs. ScyllaDB users face complex setup requirements, documentation gaps, and inefficient management of deletions. Pricing and ROI factors also pose concerns, particularly regarding compaction.

Ease of Deployment and Customer Service: Couchbase supports deployment across public, private, and hybrid clouds. Customer support experiences vary, with delays in response and a need for better tailored solutions. ScyllaDB supports hybrid and on-premises environments but necessitates self-management due to limited enterprise support, impacting small-scale deployment cost efficiency.

Pricing and ROI: Couchbase offers multiple licensing models aimed at reducing operational costs despite additional integration expenses. While premium, they can provide strong ROI through enhanced speed and reduced costs. ScyllaDB pricing is akin to MongoDB, yet high support costs and setup complexity balance its strong database performance advantages in critical applications.

To learn more, read our detailed Couchbase Enterprise vs. ScyllaDB Report (Updated: April 2026).

Couchbase Enterprise vs. ScyllaDB

April 2026

Download the complete report

Helped 893,221 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Couchbase Enterprise

Ranking in NoSQL Databases

3rd

Average Rating

8.2

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

No ranking in other categories

ScyllaDB

Ranking in NoSQL Databases

5th

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of May 2026, in the NoSQL Databases category, the mindshare of Couchbase Enterprise is 7.2%, down from 10.1% compared to the previous year. The mindshare of ScyllaDB is 6.6%, down from 10.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
Couchbase Enterprise	7.2%
ScyllaDB	6.6%
Other	86.2%

NoSQL Databases

Featured Reviews

Nitansshu Jain

Experienced Software Developer at Amdocs

Integrated caching and SQL-style queries have improved real-time billing performance

Couchbase Enterprise can be improved by addressing the complex setup. The initial setup and configuration can be tricky and requires careful tuning of cluster settings, memory quotas, and indexes, which I have already faced. Another area for improvement is the learning curve. Although N1QL is powerful, there is still a learning curve, especially for developers coming from traditional relational databases. The licensing cost is something to consider as well. Enterprise licensing can be expensive and may not be ideal for startups or smaller organizations. There is operational overhead with Couchbase Enterprise, such as managing clusters, monitoring performance, and handling failovers, which require strong DevOps expertise. It would be better if it simplified these aspects and provided better documentation.

Read full review

Manikandan Gunasekaran

Director of Engineering at Ola

Reliable data management with great reliability and performance

From a sales pitch standpoint, it needs to deliver on promises of better ROI and compaction. Additionally, ticketing and support systems could be improved due to the time it takes to get answers. There's also an issue with compatibility when attempting to switch back from the enterprise to the community version.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"It can scale horizontally, and we are looking to expand our capacity."

"I have found the views to be very valuable."

"Couchbase Enterprise is high-performance for real-time workloads and has built-in caching, which reduces the need for external systems."

"The valuable features of Couchbase are the many documents and index types, and they made a lot of features available enabling us to use it as a complete solution for our needs."

"Previously, we used SQL persistent databases, which were not optimized, but since the company shifted to Couchbase Enterprise, the application latency decreased by 70 to 80%, helping the organization attract better clients."

"Couchbase is a good solution to a lot of problems, but you will have to do your own research on it."

"Sync Gateway is a great feature that supports the mobile application."

"Couchbase has not given any performance problems as of now."

More Couchbase Enterprise pros

"ScyllaDB is very fast, and I can use it for so many things."

"The product's most valuable features are efficiency and reliability."

"The performance aspects of Scylla are good, as always... A good point about Scylla is that it can be used extensively."

"The best features of ScyllaDB are how it synchronizes data and its failover system. There's a unique formula to decide the number of nodes you need and the minimum required, which I find helpful. It also offers encryption and supports APIs, making it great for distributed systems and scaling databases across different regions. While it's easy to use, having prior experience helps configure it properly. There are many configurations; if you don't understand them, you might mess up the design. So, understanding your system's needs, like whether it requires more read or write operations, is crucial for setting up the correct configuration."

"Scalability in performance is good."

"Firstly, if I update something, it's most likely to finish within milliseconds."

"It is lightweight, and it requires less infrastructure."

"The documentation is good. It integrates easily with our existing data infrastructure."

More ScyllaDB pros

Cons

"The reason I chose nine out of ten is that there should be a dedicated feature that allows it to come up with a single click for the ease of everyone, which is why I leave that one point off."

"There are some limitations to the database. The SQL database cannot handle real-time processing for critical IoT scenarios."

"We would like to have a better management of Kubernetes with the free, open source version of Couchbase. We don't have any major complaints other than that."

"The main problem has been with integration with the services."

"One thing that could improved upon is the level of concurrency. The documentation for this solution could also be improved."

"It is very difficult to load the backup of the older version to the newer version."

"When I faced issues with Couchbase Enterprise, the community support was not strong."

"Couchbase Enterprise can improve by being a little lighter for use cases as it requires heavy customization."

More Couchbase Enterprise cons

"Some of the regular commands in NoSQL do not work."

"It seems we have better options available. So probably don't go for ScyllaDB. The reason is, first, it's very high. It's not as straightforward as, like, Postgres or ClickHouse to set up. It requires a complex setup."

"From a sales pitch standpoint, it needs to deliver on promises of better ROI and compaction."

"ScyllaDB needs to improve its handling of transactions."

"The product needs to add more features and improve the response time of the support team."

"The documentation of Scylla is an area with shortcomings and needs to be improved."

"We faced several challenges while integrating ScyllaDB into our AWS environment. One common issue was that a security port wasn’t opened on one node, preventingdata synchronization across clusters. We noticed the data wasn’t syncing correctly when we saw different record counts in other regions. After investigating, we found that the port was closed in one AWS region. Once we opened the port, the data synchronization across all nodes resumed as expected."

"The documentation is not well established for new developers."

More ScyllaDB cons

Pricing and Cost Advice

"The licensing cost of Couchbase is quite expensive compared to other databases."

"It can range between 25,000 to 40,000 Euros per year depending on company requirements."

"It seems very reasonable. It's a lot cheaper than Redis, but we've got an enterprise license. So, it's about normal. It's not outrageous in price as far as we've seen. From Couchbase, there's no additional fee as far as I'm aware, but when you're integrating, there's an additional fee because a lot of times, they don't have an integration stack."

"The price of this solution is better than some of the other competitors."

"We estimate that it's not very expensive, however, the pricing that you can get from the account managers, e.g. the public pricing, could be a bit expensive."

"I wouldn't say Couchbase offers good value for money."

"I would rate this solution a nine out of ten for pricing as it is affordable."

"It's free."

"I believe that there is a yearly licensing cost and that it's expensive."

"It is an expensive tool compared to its competitor."

"The paid version of ScyllaDB is not that expensive. The main advantage of the paid version is direct support from the ScyllaDB team, which can resolve issues faster—typically within a day, compared to two to three days with the free version. The paid version also offers better guidance and support, while the free version has good documentation and is more high-level. I’d rate their support team nine out of ten because of the quick responses from their community."

"It's a bit expensive."

See which vendors are best for you

Use our free recommendation engine to learn which NoSQL Databases solutions are best for your needs.

See recommendations

893,221 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

12%

Manufacturing Company

10%

Computer Software Company

Performing Arts

Outsourcing Company

13%

Financial Services Firm

10%

Comms Service Provider

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	2
Large Enterprise	14

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	2
Large Enterprise	8

Questions from the Community

What needs improvement with Couchbase?

Bucket concepts such as bucket, scope, collection, VBucket are very new to users and take time to understand. Better guided onboarding and simplified documentation with real-world examples could he...

What is your primary use case for Couchbase?

I have used Couchbase Enterprise in a different way. I used it in Informatica to set up an end-to-end flow for the connector. Informatica used to connect to Couchbase for all three applications: II...

What advice do you have for others considering Couchbase?

Organizations that Couchbase Enterprise is best suited for include medium to high e-commerce companies, streaming services, some financial companies, though banking may not be the primary focus. Mo...

What is your experience regarding pricing and costs for Scylla?

From what I’ve seen (and experienced), ScyllaDB pricing is very dependent on how you deploy it, and that’s where most of the confusion comes from.

What needs improvement with Scylla?

What is your primary use case for Scylla?

We dump a lot of our data, such as every entry created with respect to when a user rides a scooter, every record gets updated to ScyllaDB. It is used as a single source of truth and it manages mass...

MongoDB Enterprise Advanced vs Couchbase Enterprise

Comparisons

Compared 16% of the time

Redis vs Couchbase Enterprise

Compared 11% of the time

Cassandra vs Couchbase Enterprise

Compared 10% of the time

CouchDB vs Couchbase Enterprise

Compared 9% of the time

Microsoft Azure Cosmos DB vs Couchbase Enterprise

Compared 6% of the time

More Couchbase Enterprise Competitors

Redis vs ScyllaDB

Compared 17% of the time

MongoDB Enterprise Advanced vs ScyllaDB

Compared 13% of the time

Cassandra vs ScyllaDB

Compared 11% of the time

Apache HBase vs ScyllaDB

Compared 8% of the time

DataStax Enterprise vs ScyllaDB

Compared 7% of the time

More ScyllaDB Competitors

Product Reports

Download Couchbase Enterprise product report

Couchbase Enterprise

May 2026

Download ScyllaDB product report

April 2026

Overview

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?

Horizontal Scalability: Allows easy scaling across different servers to handle large data volumes.
Advanced Analytics Engine: Drives insightful business decisions by processing complex data rapidly.
Efficient Data Storage: Enhances system performance by optimizing data organization and retrieval.
Multi-Master Capability: Ensures data consistency and reliability across several nodes.
Dynamic API Integration: Facilitates seamless integration with other applications for extended functionality.

What benefits or ROI should users look for in reviews?

Performance Efficiency: Low latency capabilities ensure smooth operations for business applications.
High Availability: Robust infrastructure supports uninterrupted service and minimal downtime.
Data Flexibility: Supports diverse data types, enhancing adaptability to business needs.
Real-Time Data Replication: Ensures timely data updates across multiple platforms, enhancing workflow.
Reliable Customer Support: Provides technical assistance, improving user experience and system utilization.

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.

Couchbase

ScyllaDB is known for its remarkable speed, efficiency, and reliability. It operates with minimal resources, supports large data volumes, and allows for meticulous fine-tuning. Enhanced by Seastar, it offers a performance edge over Cassandra and prioritizes ease of use with robust data synchronization.

ScyllaDB stands out for its capability in high-volume data handling, making it ideal for distributed systems. It integrates easily with APIs and supports user-defined types, providing flexibility through Cassandra SDK and DynamoDB. High availability, effective partitioning, easy updates, and rapid query responses enhance its appeal for organizations dealing with real-time analytics and time-series data management. However, users have noted the complexity in setup compared to MongoDB or Postgres and have highlighted the need for improvements in areas like data export, deletion processes, and documentation. There are also challenges with transactions, support response, compatibility, and AWS integration, with some requiring custom commands which may affect universality.

What are the key features of ScyllaDB?

Exceptional Speed: Achieves high performance through Seastar technology.
Efficiency: Consumes minimal computing resources while supporting substantial data volumes.
Reliability: Offers robust failover systems and data synchronization capabilities.
Flexible Integration: Supports APIs, user-defined types, Cassandra SDK, and DynamoDB.
High Availability: Ensures continuous access and effective partitioning.

Which benefits and ROI should users look for in reviews?

Cost Efficiency: Maximizes resource utilization with minimal expense.
Performance: Provides fast data querying crucial for real-time analytics.
Scalability: Easily manages large-scale and high-volume data needs.
Security: Ensures safe and secure data storage within distributed systems.

Industries like telecommunications, advertising, mobility services, and security implement ScyllaDB for managing extensive datasets and securing real-time data access. Its scalability and efficiency make it a preferred choice for data transformation services, harmonizing complex data flows with real-time analytics needs.

Sample Customers

Amadeus, Cisco, Comcast, LinkedIn, GE

IBM, Investing.com, mParticle, Comcast, GE, Fanatics, Ola, CERN, adgear, Samsung