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description=We compare DynamoDB vs MongoDB (Atlas) in terms of use cases, performance, cost, security & many other features so you can select the right DB for your needs.;

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dynamodb vs mongodb the ultimate comparison 2026 dynobase features pricing learn support try for free dynamodb vs mongodb the ultimate comparison written by james sugrue published on may 23rd 2022 still using aws console to work with dynamodb time to 10x your dynamodb productivity with dynobase learn more mongodb has long been one of the biggest names in nosql and with atlas they have made it easier to get mongodb in the cloud meanwhile dynamodb has fast become the favorite aws native nosql database both are fully managed serverless services meaning that you don t need to worry about maintenance updates or hardware so how do they compare and when should you use one over the other celebrating ten years in existence in 2022 dynamodb has been the de facto nosql solution for aws developers and with good reason it s low cost lightning fast works smoothly with your aws lambda functions and has native integration with step functions for anyone getting started with serverless it s where all the tutorials are going to take you in terms of data persistence and it s pretty easy to get started with how does it all stack up against mongodb atlas though three years its senior mongodb would have been considered the default nosql option for some time for those outside of the aws cloud or who need a multi cloud solution it still is released on november 30 2016 mongodb atlas is a managed cloud hosted service for mongodb the big difference between it and dynamodb is that it can be hosted on any cloud provider aws azure and google cloud that flexibility is key if you re unsure on which provider to use or simply want to avoid vendor lock in it s a compelling choice rick houlihan one of the biggest names in dynamodb and the creator of single table design is known for his regular gold standard talks at re invent aws s annual conference in late 2021 rick actually moved to mongodb to take on the role of director developer relations for strategic accounts which is more popular as you read this well if you look at db engines com it s clear that mongodb has it and always has in fact if you look at the overall ranking mongodb is the fifth most popular database overall with the four big relational databases oracle mysql mssqlserver and postgresql the only databases that are more popular this article isn t so much about which one is better or who should win though let s take a look through both dynamodb and mongodb atlas highlighting where they are similar their differences and the places where one should be used over the other similarities backups while dynamodb provides point in time and on demand backup options the analogous features in mongodb atlas are continuous backups and cloud provider snapshots both services ensure that your data can be restored to any point within a specified retention period providing robust disaster recovery options security dynamodb protects data at rest and data in transit data is encrypted at rest using encryption keys stored in aws key management service kms either with an aws owned key default an aws managed key or a customer managed key access control for dynamodb is managed using aws identity and access management iam mongodb atlas provides encryption at rest on all cloud platforms using their transparent disk encryption similar to dynamodb customers can provide their own keys and utilize the key management system available on their chosen cloud provider mongodb atlas also provides role based access rules to control access to the data additionally mongodb atlas offers network isolation through virtual private cloud vpc peering and private endpoints enhancing security provisioning dynamodb has two capacity modes on demand and provisioned in the case of less predictable workloads on demand capacity mode will manage capacity for you and only charge for what is used while this is extremely useful it obviously has the downside of making pricing less predictable when you know exactly what you need in terms of reads and writes per second in your application it makes sense to use provisioned capacity auto scaling ensures that the table can increase its provisioned capacity to handle sudden increases in traffic mongodb also has auto scaling functionality allowing you to automatically scale cluster tier and or storage capacity with the option to control costs by specifying limits for your cluster sizes however mongodb in dedicated mode doesn t enforce rate limits so it makes sense that it wouldn t have an on demand option mongodb atlas has introduced a serverless option currently in preview mode which is more in line with the dynamodb on demand allowing you to pay only for the operations that you run differences data access patterns no matter which solution you use understanding the difference between nosql databases and relational databases is key for dynamodb adopting single table design and understanding your access patterns well in advance will help you create a database that is built to last in summary single table design means that you re not going to be using sql joins which tend to be expensive operations anyway and instead you prepare your data into item collections your queries then work through the primary key which can have 2 attributes at most meanwhile accessing data from mongodb can be done by queries based on keys ranges joins graph traversals and geospatial queries mongodb s flexible query language and indexing capabilities make it suitable for a wide range of complex queries and data retrieval operations while this might make it seem that mongodb atlas makes more sense to use bear in mind that dynamodb s limited access patterns are by design to ensure lightning fast data access dynamodb s predictable performance and low latency responses are ideal for applications requiring consistent and rapid data retrieval data model when it comes to datatypes mongodb has a much wider range of types the most commonly discussed difference is the lack of a date type in dynamodb this can be overcome by using the timestamp data type but it isn t as neat as in mongodb even though both databases can store binary data dynamodb has a limit of 400kb for any item while mongodb can support documents up to 16mb in size mongodb s document model lends itself to a wide variety of use cases including key value pairs geospatial time series and graphs dynamodb is primarily a key value store but with support for json to include document like structures this makes mongodb more versatile for applications requiring complex data models and relationships cloud platforms dynamodb is only available on aws while mongodb atlas can run on aws azure or google cloud platform additionally mongodb itself can run anywhere on your laptop on a server in your datacenter or a virtual instance in the cloud to be 100 clear you can still run dynamodb on your local machine for testing before deploying to aws so you don t need to hop straight onto the cloud tcp socket connections applications use https endpoints to access dynamodb tables while mongodb requires tcp socket connections depending on your cluster type there is a set limit to the number of concurrent tcp connections allowed see here at the time of writing the entry level m0 m2 cluster tier is 500 per node this can impact the scalability of applications that require a high number of concurrent connections aws native integrations when you use aws step functions you can really unleash the power of serverless technologies in the aws ecosystem and dynamodb is a key part of this you can easily store results from an aws lambda function you can use api gateway to allow access to dynamodb data through http endpoints or you can trigger an aws lambda function when any changes happen in a dynamodb table there are also simple to use integrations with cognito for identity pools redshift for data analysis and s3 for exporting table data obviously mongodb atlas does not have the advantage of all of these native integrations but you can easily write your own aws lambda function that accesses your mongodb atlas database and bring it into step functions working with dynamodb is more straightforward but it s not impossible to get close to this with a bit of coding effort pricing comparing pricing between mongodb atlas and dynamodb is complicated as both have very different models for dynamodb pricing calculator you need to take a number of factors into account such as provisioned or on demand data storage required number of reads and writes backup costs in the case of mongodb atlas pricing page the costs for the dedicated service are calculated based on storage ram and vcpus which together are termed as a cluster tier cloud provider the new serverless tier will require you to consider read and write operations data storage and backups luckily both databases have free tiers where you can experiment with the settings that make sense for your use case in general for large scale applications mongodb atlas will work out as the cheaper option when to use which dynamodb is a great database choice in cases where you have unpredictable workloads if you can work out your application s data access patterns in advance and these don t vary too much using dynamodb will give you faster query times if you are already fully invested in aws services the native integrations particularly with step functions make it the first class choice mongodb is perfect if you need to store large amounts of binary data or your application requires geospatial queries if you are running across multiple cloud platforms or dedicated to only azure google cloud platform mongodb atlas will be your default choice additionally mongodb s flexible schema design makes it ideal for applications that require frequent changes to the data model faq is dynamodb the same as mongodb they are both nosql databases but the similarities end there data access patterns are different and the range of data types varies a lot is dynamodb compatible with mongodb no can dynamodb replace mongodb it depends on your use case in many cases it will but you will need to keep in mind that how you query data will be different some cases will prevent you from choosing dynamodb such as the need to store binary data 400kb or using it as a geospatial database is dynamodb based on mongodb no is dynamodb better than mongodb it depends who you ask it s an apples to oranges comparison as there are some cases that don t suit one or the other for example during prime day 2021 dynamodb handled trillions of api calls peaking at 89 2 million requests per second is dynamodb faster than mongodb dynamodb can be faster than mongodb for certain workloads mainly due to its optimized query patterns and the way it handles data access which is cheaper dynamodb or mongodb in the long run mongodb probably ends up being cheaper for mature applications again it depends on the use case don t forget that large organizations such as zoom disney snap and dropbox lean on dynamodb so it is far from being a hobbyist solution dynobase is a professional gui client for dynamodb try 7 day free trial no credit card needed download now download now product features use sql with dynamodb import csv to dynamodb import json to dynamodb export dynamodb to json export dynamodb to s3 export dynamodb to csv dynamodb update item dynamodb delete all items dynamodb delete item dynamodb create table dynamodb delete table dynamodb conditional update dynamodb tools ssh gui client chat with cloud mongodb gui client aws cost monitoring dynamodb query builder dynamodb code examples dynamodb query codegen dynamodb node js queries dynamodb json converter dynamodb local admin gui dynamodb pricing calculator dynamodb single table design dynamodb info dynamodb streams dynamodb vs aurora dynamodb key types dynamodb data types dynamodb local setup dynamodb transactions dynamodb java queries dynamodb data modeling dynamodb with aws sam dynamodb common errors dynamodb capacity modes dynamodb query examples dynamodb guides dynamodb book dynamodb intro dynamodb faq dynamodb tools dynamodb gsi dynamodb ttl dynamodb partiql dynamodb indexes dynamodb triggers dynamodb vs mongodb dynamodb global tables dynamodb best practices download pricing member portal privacy eula twitter 2026 dynobase