Cloudera Distribution for Hadoop and Couchbase compete in the big data and database sectors, with Cloudera having an edge in complex enterprise capabilities and Couchbase excelling in flexibility and ease of use. Users favor Cloudera for enterprise features, while Couchbase stands out in scenarios needing low latency.
Features: Cloudera Distribution for Hadoop offers Cloudera Manager for streamlined administration, Impala for fast querying, and enterprise-grade security with support for Hive and Spark, facilitating comprehensive big data integration. Couchbase provides various database paradigms, robust document indexing, and efficient querying, well-suited to cloud and edge environments, supporting diverse NoSQL solutions.
Room for Improvement: Cloudera's performance stability needs enhancement, particularly with newer versions and Spark integrations; its installation can be complex, and node-based pricing is costly. Couchbase faces integration challenges, limited Windows support, and needs better documentation and security features, along with improved multicluster support and real-time processing.
Ease of Deployment and Customer Service: Cloudera's on-premises deployment offers infrastructure control but receives mixed support reviews regarding local expertise. Couchbase is flexible across on-premises and cloud deployments, praised for versatility but needing better community engagement and technical assistance in complicated setups.
Pricing and ROI: Cloudera is considered expensive, especially as infrastructure scales, but promises substantial ROI for enterprises needing detailed data solutions. Couchbase's pricing is seen as more flexible and affordable, though extra integration costs can arise, requiring careful evaluation of long-term values and organizational needs.
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.
The technical support is quite good and better than IBM.
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.
Couchbase is extremely scalable, which is critical when handling high throughput and load.
It was easily scalable, which is expected from a NoSQL database.
We didn't experience any downtime, and the data stayed there consistently.
Couchbase is highly stable, rated at nine out of ten.
Integrating with Active Directory, managing security, and configuration are the main concerns.
This delay meant that data on another database, Elasticsearch, was not always up to date, which could be noticed in the games.
I would like Couchbase to provide more functionality via the UI, as some operations, such as time-based scaling, currently require using the API.
It can be deployed on-premises, unlike competitors' cloud-only solutions.
It can range between 25,000 to 40,000 Euros per year depending on company requirements.
It is scalable, ready for vertical scaling, and very powerful, offering numerous functionalities and configurations for generative AI.
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.
Couchbase is a versatile database solution for healthcare, automation, e-commerce, gaming, caching, and analytics. It supports 920 nodes and 420 clusters, making it scalable and extensible. Its valuable features include multiple database paradigms, low latency, dynamic API integration, Sync Gateway for mobile apps, and a user-friendly interface.
Couchbase has helped organizations with low latency metrics, large user updates, and cost-effective caching. Its built-in data replication and disaster recovery features make it a complete solution for various needs.
We monitor all NoSQL Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
