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Altoros Benchmark: Compare Couchbase Capella, MongoDB™ Atlas, and AWS DynamoDB

Avoid unpredictable costs, vendor lock-in, and scalability concerns

Critical DynamoDB pitfalls and how Couchbase overcomes them

Challenge 1:
High and unpredictable operating costs

DynamoDB quickly becomes an expensive platform for data management as the project grows.


In general, DynamoDB becomes more expensive at scale because its pricing is linear. DynamoDB writes are also expensive, which means workloads with higher write percentages will be more costly. Datasets with larger item sizes also tend to cost more.


Because DynamoDB pricing is based on throughput, it takes an objective third-party performance test focused on pricing to get an accurate price comparison. It would be extremely difficult to obtain a reliable Couchbase cost comparison without Couchbase throughput data points at various Amazon EC2 instance sizes, cluster sizes, and read/write ratios. 


With Couchbase Capella, you simply buy a license and support contract for each database server you need today, and buy more (or draw down) node capacity as needed. Couchbase will automatically rebalance the workload.

Challenge 2:
Vendor lock-in

With DynamoDB, you can't separate your data store from Amazon's computing platform, and it's not easy to move the data into a different database system.


DynamoDB is inseparable from the Amazon Web Services (AWS) platform. On the upside, you get tight integration between DynamoDB and other AWS tools, but at the price of zero portability.


No other vendor runs the AWS proprietary database model. Moving to a different cloud service provider requires extensive re-architecting of your database structure and operations.


In practice, you're stuck with Amazon and AWS for the long run once you commit your data management to a DynamoDB database.


You can install Couchbase on your own bare metal or virtual server, and nearly every cloud computing platform – including AWS – offers a supported drop-in Couchbase installation.


That means Couchbase users on AWS have easy access to the same supporting tools and virtual infrastructure that DynamoDB absolutely depends on.


Furthermore, Couchbase Capella is built for multicloud and hybrid environments, ensuring that enterprise customers can move their applications to and from any cloud.

Challenge 3:
Limited performance at scale

DynamoDB runs into crippling performance issues when you need something larger than a single 10GB shard.


Data can be spread across many partitions in DynamoDB. AWS manages the scaling in the background, creating more partitions and shards as needed.


This sounds good, but can lead to performance issues when the database grows. Automatically generated partitions are organized by hand-picked data keys, and a poor choice triggers unbalanced partitions where data needs to be streamed from one unit to another. The result is serious performance penalties.


Couchbase was built for extreme performance from the ground up. Data is sharded automatically to create balanced partitions while a built-in caching layer improves performance at scale.


Global indexing lets developers separate the data partitioning from the access patterns, providing low-latency access to important queries no matter how large the data grows.


An intelligent routing system provides single-network-hop access to data from the application. The last thing you want is a performance penalty for complying with regulations such as GDPR that require data to be domiciled in its country of origin.

Why enterprises choose Couchbase over DynamoDB

Intuit partnered with Couchbase to deploy its TurboTax solution on AWS. As a mission-critical application, TurboTax needed high availability and disaster recovery support built into the data platform to guarantee 24/7 uptime. Intuit chose Couchbase over DynamoDB for its proven performance and reliability.

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Viber evaluated DynamoDB for its user profile application, but the database couldn’t provide performance at scale in a cost-effective manner. With Couchbase, Viber was able to perform hundreds of thousands of operations using less than half the number of nodes DynamoDB required.

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When Pfizer needed robust indexing capabilities for its Newton reporting application, Couchbase delivered. Pfizer also evaluated DynamoDB, but its two index per table limit was a nonstarter.

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Webinar: Couchbase vs. DynamoDB: Better Performance and Deployment Flexibility at Lower Cost

Deploy Couchbase on AWS in under 10 minutes and take advantage of the only database that combines the best of NoSQL, like high performance and multi-dimensional scaling, with the power and familiarity of SQL.

Compare Capella database services

Compare Couchbase Capella with other cloud Database-as-a-Service providers like MongoDB’s Atlas cloud service and Amazon’s DynamoDB database service. Find out why Couchbase Capella is the best solution for you.