Couchbase Claims Performance Gains Against NoSQL Rivals - InformationWeek

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Couchbase Claims Performance Gains Against NoSQL Rivals
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User Rank: Apprentice
3/23/2015 | 6:03:46 PM
Re: Comment from MongoDB: Not an Apples-to-Apples comparison
Our study was a fair and valid comparison of the two products. Based on the study's parameters, Avalon provided the exact same hardware resources and enabled the same durability and failover setup for both Couchbase and MongoDB.

For the purposes of this test, preventing loss of data was one of the core parameters as this is a necessary feature for the types of enterprise clients we work with. Couchbase prevents loss of data by providing 2 additional replicas besides the master copy on every node. Each node consumes 2/3's of the computational and storage capacity for replica maintenance. With the 2 additional replicas, Couchbase provided the desired durability and failover support. Couchbase Server reads and writes on every node; MongoDB relies on a master/slave architecture that can only execute reads and writes on primary nodes. Because of this, both vendors use the identical amount of hardware but each is configured differently to optimize each product.

It is irrefutable that both MongoDB and Couchbase were placed on a level playing field for the test Avalon conducted.

Casey Green, EVP Corporate Strategy, Avalon Consulting, LLC
D. Henschen
D. Henschen,
User Rank: Author
3/23/2015 | 1:35:00 PM
Comment from MongoDB: Not an Apples-to-Apples comparison
We couldn't reach MongoDB in time for comment on this story, but here are responses on both the Avalon test and Couchbase's Multi-Deminsional Scaling feature from m Kelly Stirman, Director of Product at MongoDB.

Regarding the Avalon benchmark:

The test results in the report published by Avalon cannot be used to compare the two products. Couchbase is provided 3x the active hardware of MongoDB, and it is configured to maximize throughput by disabling automatic failover and by sacrificing durability, increasing the chance of data loss. In these tests MongoDB is provided one third the active hardware, has automatic failover and high availability enabled, and it is configured to ensure durability of writes, preventing data loss. If MongoDB were configured comparably to Couchbase in these tests, the results would be dramatically different. Avalon did not follow our published best practices, and MongoDB did not participate in the design of these tests. Readers may wish to consult our own published benchmarks using the same tests as Avalon, where MongoDB 3.0 shows excellent throughput and low latency.

Regarding the Couchbase announcement:

Some vendors have a tradition of announcing new products many months before their availability, usually at one of their public events. This announcement is no different. In the absence of any documentation or details about these features it is hard to know what Couchbase hopes to deliver in the future. It does appear they are looking to close the gap on other products in the market who have offered these capabilities for many years now. According to, which incorporates web searches, technical discussions, job postings, and skills on LinkedIn, Couchbase trails all other NoSQL products in adoption. We will have to wait and see if this announced release moves the needle for Couchbase.

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