Couchbase vs Oracle Database Cloud Service

• 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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• Eliminates the requirement of hardware and installation.
• Minimizes the cost of operation and maintenance.
• Scalable to meet the increase in requirements.
• Enhances integrity, connectivity and performance of our applications.
• Reliable in terms of data security.
• Improved speed of querying and searching.

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• 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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• When we restart the DBaaS instance, it seems like we had to add the NIC network back again. I'm not sure if it's specific to our instance configuration!

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• 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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• Billing on Hosted Environment per hour, OCPU per hour, block volumes, object storage, etc.
• Costing & maintenance, patching.
• Security & TDE cycles.
• Backups & recovery.
• The features are complemented by database lifecycle management features, like configuration management, performance management, patch automation, etc. which make the solution complete from a DBaaS administrator’s perspective as well.
• Manager 12c covers all the major use cases for DBaaS, which yield significant business benefits and high ROI.

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