TrustRadius: an HG Insights company

Save this comparison

Save this comparison

Add Product

Recommended Comparisons

    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Amazon DynamoDB

    Score7.9 out of 10
    N/AAmazon DynamoDB is a cloud-native, NoSQL, serverless database service.

    $0

    capacity unit per hour

    Amazon Keyspaces

    Score6.4 out of 10
    N/AAmazon Keyspaces (for Apache Cassandra) is a scalable, highly available, and managed Apache Cassandra–compatible database service. With Amazon Keyspaces, users can run Cassandra workloads on AWS using the same Cassandra application code and developer tools without having to provision, patch, or manage servers, or installing, maintaining, or operating software. Amazon Keyspaces is serverless, so users pay only for resources used and the service can automatically scale tables up and down in…N/A

    MongoDB

    Score8.8 out of 10
    N/AMongoDB is an open source document-oriented database system. It is part of the NoSQL family of database systems. Instead of storing data in tables as is done in a "classical" relational database, MongoDB stores structured data as JSON-like documents with dynamic schemas (MongoDB calls the format BSON), making the integration of data in certain types of applications easier and faster.

    $0.10

    million reads

    Pricing
    Amazon DynamoDBAmazon KeyspacesMongoDB
    Editions & Modules
    Provisioned - Read Operation
    $0.00013
    capacity unit per hour
    Provisioned - Write Operation
    $0.00065
    capacity unit per hour
    Provisioned - Global Tables
    $0.000975
    per Read Capacity
    On-Demand Streams
    $0.02
    per 100,000 read operations
    Provisioned - Streams
    $0.02
    per 100,000 read operations
    On-Demand Data Requests Outside AWS Regions
    $0.09
    per GB
    Provisioned - Data Requests Outside AWS Regions
    $0.09
    per GB
    On-Demand Snapshot
    $0.10
    per GB per month
    Provisioned - Snapshot
    $0.10
    per GB per month
    On-Demand Restoring a Backup
    $0.15
    per GB
    Provisioned - Restoring a Backup
    $0.15
    per GB
    On-Demand Point-in-Time Recovery
    $0.20
    per GB per month
    Provisioned - Point-in-Time Recovery
    $0.20
    per GB per month
    On-Demand Read Operation
    $0.25
    per million requests
    On-Demand Data Stored
    $0.25
    per GB per month
    Provisioned - Data Stored
    $0.25
    per GB per month
    On-Demand - Write Operation
    $1.25
    per million requests
    On-Demand Global Tables
    $1.875
    per million write operations replicated
    No answers on this topic
    Shared
    $0
    per month
    Serverless
    $0.10million reads
    million reads
    Dedicated
    $57
    per month
    Offerings
    Pricing Offerings
    Amazon DynamoDBAmazon KeyspacesMongoDB
    Free Trial
    NoNoYes
    Free/Freemium Version
    NoNoYes
    Premium Consulting/Integration Services
    NoNoNo
    Entry-level Setup FeeNo setup feeNo setup feeNo setup fee
    Additional Details——Fully managed, global cloud database on AWS, Azure, and GCP
    More Pricing Information
    Community Pulse
    Amazon DynamoDBAmazon KeyspacesMongoDB
    Considered Multiple Products
    Amazon AWS
    Chose Amazon DynamoDB
    Both are Nosql db but when it comes to scalability i think, MongoDB is no where close to Amazon DynamoDB
    Incentivized
    Chose Amazon DynamoDB
    MongoDB has some performance issues and can get corrupted from time to time and has needed to be rebuilt. We have not had that experience while using DynamoDB.
    Incentivized
    Chose Amazon DynamoDB
    DynamoDB's scalability is more automated and effortless, making it easier to handle rapid growth. Other tools require more manual configuration while DynamoDB simplifies database administration. Also, DynamoDB provides strong consistency while other tools like MongoDB and Apache…
    Incentivized
    Chose Amazon DynamoDB
    We are always assembling our solutions on AWS and DynamoDB is a better fit for us because of its simplicity.
    DynamoDB has its ow sets of triggers that make this an integrated solution on AWS.
    Besides, we wanted to use a key-value solution for our simple edge DB, and we didn't …
    Incentivized
    Chose Amazon DynamoDB
    Lesser flexibility but better performance, and more predictable development support are the key points where Amazon DynamoDB comes out on top, when compared to MongoDB.
    Incentivized
    Chose Amazon DynamoDB
    DynamoDB provided an easy to use, schema-less, out of the box solution that can be used to spin up a full working implementation very easily. It doesn't require extra knowledge such as MongoDB query functions
    Incentivized
    Chose Amazon DynamoDB
    MongoDB vs. Amazon DynamoDB:• MongoDB requires more human management than DynamoDB, which is a fully managed service.• DynamoDB's scalability is automatic, whereas MongoDB's horizontal scaling may require more work.• When compared to DynamoDB, MongoDB offers more extensive data …
    Incentivized
    Chose Amazon DynamoDB
    More flexible and easier to get started with than RDS, but, in my opinion, much worse monitoring/cost and query/modeling complexity than MongoDB
    Incentivized
    Chose Amazon DynamoDB
    For our use case, we needed a noSQL that would work with AWS Lambdas of specific parts of the internal web applications. We optimized billing and uses , diversified databases for various parts; so it’s not very expensive.
    Incentivized
    Chose Amazon DynamoDB
    i think both depends on usuability and app requirement
    Incentivized
    Chose Amazon DynamoDB
    Performance at high scales is better and the cost at high scales is less. If one has a ton of data generated and has to work their way through it, I think Amazon DynamoDB should the go-to database. There are no compromises when it comes to performance at a huge scale. With any …
    Incentivized
    Chose Amazon DynamoDB
    The Amazon Web Services managed Amazon DynamoDB has excellent features which makes it stand out from all the others in market right now. The management ease it offers is far superior than its competitors and on top of that the on-demand pricing model is an advantage which works …
    Incentivized
    Chose Amazon DynamoDB
    Compare to other products its so easier to set up, meeting all of our business requirements and easy usable, highly efficient and scalable.
    Incentivized
    Chose Amazon DynamoDB
    high scalability #single-digit latency. #so much flexile. #very easy to use. # low maintenance.#GLobal Access
    Incentivized
    Chose Amazon DynamoDB
    Amazon DynamoDB seems to be more cost effective and easy to integrate with other aws services.
    Incentivized
    Chose Amazon DynamoDB
    Haven't had a chance to use this up to an extent to be compared to DynamoDB.
    Incentivized
    Chose Amazon DynamoDB
    DynamoDB offers strong consistency, more fine-grained control over read and write capacities, and integrates seamlessly with other AWS services.
    DynamoDB is designed for horizontal scalability and high throughput, making it a better choice for applications with rapidly changing …
    Incentivized
    Chose Amazon DynamoDB
    The automation is much more subtle and it performs way better for internet-scale applications. No matter the number of connections, the performance doesn't dip even a bit.
    Incentivized
    Chose Amazon DynamoDB
    Amazon DynamoDB is less costly compared to Amazon DocumentDB.
    Incentivized
    Chose Amazon DynamoDB
    Mongo services are outside of our Vpc and are on a different network. Since most of our infra is on AWS, dynamo by AWS was a natural choice. Most of our engineers are familiar with AWS sdk and the console so that brought in a much smaller learning curve for our engineering team
    Incentivized
    Chose Amazon DynamoDB
    It seamlessly integrates with Lambda, simplifying the deployment and management of serverless architecture. Both Lambda and DynamoDB are designed are highly scalable. Lambda functions can be triggered by various AWS services and events, such as changes in DynamoDB tables which …
    Incentivized
    Chose Amazon DynamoDB
    Because of it's access control features, quick scalability and high performance.
    Incentivized
    Chose Amazon DynamoDB
    -
    Incentivized
    Chose Amazon DynamoDB
    Performance, Scalability, durability , fully managed
    Incentivized
    Amazon AWS
    No answer on this topic
    MongoDB
    Chose MongoDB
    MySQL is a great for querying related data, but it's unable to store structured data and has a fixed schema. Also SQL can be non-intuitive. DynamoDB, CouchDB and Redis all make querying the data quite difficult and lack important features. The problem CouchDB tries to solve is …
    Incentivized
    Chose MongoDB
    In our early development days we weighed NoSQL databases like MongoDB with RDBMS solutions like MySQL. We were more familiar with MySQL from past experience but also were wary of painful data migrations that slowed down development iterations and increased the risk of outages …
    Incentivized
    Chose MongoDB
    Your default choice should not be MongoDB in my opinion. Most user-facing systems are relational by nature so a well known and reliable SQL database would be easier to maintain and simpler to develop long term. If you highly value speed of development go with Firebase. If you …
    Incentivized
    Chose MongoDB
    It does not belong to certain cloud platforms. MongoDB is an independent program that works with any cloud platform including Amazon Web Services and the Google Cloud Platform. For companies who want to maintain a cloud agnostic structure, MongoDB is a great choice for NoSQL …
    Incentivized
    Chose MongoDB
    We tend to choose MongoDB when we're faced with a particular situation: we know that we need a NoSQL database in general, and want an open-source implementation that allows us to prevent against platform lock-in. Amazon's new DocumentDB product even allows us to choose to use …
    Incentivized
    Chose MongoDB
    MongoDB was the most full-featured NoSQL database we evaluated - that offered atomic transactions at a document level, built-in HA & DR, open source, robust queries, and enterprise level support.

    Other platforms had specific parts of what we were looking for - MongoDB had it all.
    Incentivized
    Key User Insights
    Would buy again
    100%
    Would buy again
    47 Answers
    No answers on this topic
    100%
    Would buy again
    12 Answers
    Delivers good value for the price
    98%
    Delivers good value for the price
    44 Answers
    No answers on this topic
    100%
    Delivers good value for the price
    12 Answers
    Happy with the feature set
    98%
    Happy with the feature set
    46 Answers
    No answers on this topic
    100%
    Happy with the feature set
    12 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    39 Answers
    No answers on this topic
    100%
    Lived up to sales and marketing promises
    9 Answers
    Implementation went as expected
    93%
    Implementation went as expected
    40 Answers
    No answers on this topic
    100%
    Implementation went as expected
    12 Answers
    Features
    Amazon DynamoDBAmazon KeyspacesMongoDB
    NoSQL Databases
    Comparison of NoSQL Databases features of Amazon DynamoDB and Amazon Keyspaces and MongoDB
    Feature
    Amazon DynamoDB
    9.2
    69 Ratings
    7% above category average
    Amazon Keyspaces
    -
    Ratings
    MongoDB
    10.0
    39 Ratings
    16% above category average
    Performance9.368 Ratings00 Ratings10.039 Ratings
    Availability9.569 Ratings00 Ratings10.039 Ratings
    Concurrency9.067 Ratings00 Ratings10.039 Ratings
    Security9.269 Ratings00 Ratings10.039 Ratings
    Scalability9.468 Ratings00 Ratings10.039 Ratings
    Data model flexibility8.266 Ratings00 Ratings10.039 Ratings
    Deployment model flexibility10.023 Ratings00 Ratings10.038 Ratings
    Best Alternatives
    Amazon DynamoDBAmazon KeyspacesMongoDB
    Small Businesses
    IBM Cloudant
    Score7.4 out of 10
    No answers on this topic
    IBM Cloudant
    Score7.4 out of 10
    Medium-sized Companies
    IBM Cloudant
    Score7.4 out of 10
    HBase
    Score7.3 out of 10
    IBM Cloudant
    Score7.4 out of 10
    Enterprises
    IBM Cloudant
    Score7.4 out of 10
    Cassandra
    Score9 out of 10
    IBM Cloudant
    Score7.4 out of 10
    All AlternativesView all alternativesView all alternativesView all alternatives
    User Ratings
    Amazon DynamoDBAmazon KeyspacesMongoDB
    Likelihood to Recommend
    8.9
    (79 ratings)
    -
    (0 ratings)
    10.0
    (79 ratings)
    Likelihood to Renew
    10.0
    (34 ratings)
    -
    (0 ratings)
    10.0
    (67 ratings)
    Usability
    9.1
    (4 ratings)
    -
    (0 ratings)
    10.0
    (15 ratings)
    Availability
    -
    (0 ratings)
    -
    (0 ratings)
    9.0
    (1 ratings)
    Performance
    9.1
    (42 ratings)
    -
    (0 ratings)
    -
    (0 ratings)
    Support Rating
    5.2
    (4 ratings)
    -
    (0 ratings)
    9.6
    (13 ratings)
    Implementation Rating
    -
    (0 ratings)
    -
    (0 ratings)
    8.4
    (2 ratings)
    Product Scalability
    9.1
    (42 ratings)
    -
    (0 ratings)
    -
    (0 ratings)
    User Testimonials
    Amazon DynamoDBAmazon KeyspacesMongoDB
    Likelihood to Recommend
    Amazon AWS
    It’s great for server less and real-time applications. It would be great for gaming and mobile apps. However, if you need relational database and have fixed budget, do not use it. While budget can be managed, you need to be careful. Also this is not a tool for storing big data, there are other wide-column database types you could use for it ins the ad
    Read full review
    Amazon AWS
    No answers on this topic
    MongoDB
    If asked by a colleague I would highly recommend MongoDB. MongoDB provides incredible flexibility and is quick and easy to set up. It also provides extensive documentation which is very useful for someone new to the tool. Though I've used it for years and still referenced the docs often. From my experience and the use cases I've worked on, I'd suggest using it anywhere that needs a fast, efficient storage space for non-relational data. If a relational database is needed then another tool would be more apt.
    Incentivized
    Read full review
    Pros
    Amazon AWS
    • To manage varying workloads, it enables users to increase capacity as necessary and decrease it as needed.
    • Users can take advantage of its auto-scaling, in-memory caching, and backup without paying for the services of a database administrator.
    • We can use it for low scale operations.
    Incentivized
    Read full review
    Amazon AWS
    No answers on this topic
    MongoDB
    • Being a JSON language optimizes the response time of a query, you can directly build a query logic from the same service
    • You can install a local, database-based environment rather than the non-relational real-time bases such a firebase does not allow, the local environment is paramount since you can work without relying on the internet.
    • Forming collections in Mango is relatively simple, you do not need to know of query to work with it, since it has a simple graphic environment that allows you to manage databases for those who are not experts in console management.
    Incentivized
    Read full review
    Cons
    Amazon AWS
    • Cost model may not be easy to control and may lead to higher costs if not carefully planned
    • Indexing may be a cost culprit when not planned, because it's not included on the data costs
    • The Query Language may not fulfill everybody's expectations, as it has less features than those of competitors.
    Incentivized
    Read full review
    Amazon AWS
    No answers on this topic
    MongoDB
    • An aggregate pipeline can be a bit overwhelming as a newcomer.
    • There's still no real concept of joins with references/foreign keys, although the aggregate framework has a feature that is close.
    • Database management/dev ops can still be time-consuming if rolling your own deployments. (Thankfully there are plenty of providers like Compose or even MongoDB's own Atlas that helps take care of the nitty-gritty.
    Incentivized
    Read full review
    Likelihood to Renew
    Amazon AWS
    It's core to our business, we couldn't survive without it. We use it to drive everything from FTP logins to processing stories and delivering them to clients. It's reliable and easy to query from all of our pipeline services. Integration with things like AWS Lambda makes it easy to trigger events and run code whenever something changes in the database.
    Incentivized
    Read full review
    Amazon AWS
    No answers on this topic
    MongoDB
    I am looking forward to increasing our SaaS subscriptions such that I get to experience global replica sets, working in reads from secondaries, and what not. Can't wait to be able to exploit some of the power that the "Big Boys" use MongoDB for.
    Incentivized
    Read full review
    Usability
    Amazon AWS
    Functionally, DynamoDB has the features needed to use it. The interface is not as easy to use, which impacts its usability. Being familiar with AWS in general is helpful in understanding the interface, however it would be better if the interface more closely aligned with traditional tools for managing datastores.
    Incentivized
    Read full review
    Amazon AWS
    No answers on this topic
    MongoDB
    NoSQL database systems such as MongoDB lack graphical interfaces by default and therefore to improve usability it is necessary to install third-party applications to see more visually the schemas and stored documents. In addition, these tools also allow us to visualize the commands to be executed for each operation.
    Incentivized
    Read full review
    Performance
    Amazon AWS
    It works very well across all the regions and response time is also very quick due to AWS's internal data transfer. Plus if your product requires HIPPA or some other regulations needs to be followed, you can easily replicate the DB into multiple regions and they manage all by it's own.
    Incentivized
    Read full review
    Amazon AWS
    No answers on this topic
    MongoDB
    No answers on this topic
    Support Rating
    Amazon AWS
    I have not had to contact support for this service, however I have had to contact AWS for other services and their support has been good.
    Incentivized
    Read full review
    Amazon AWS
    No answers on this topic
    MongoDB
    Finding support from local companies can be difficult. There were times when the local company could not find a solution and we reached a solution by getting support globally. If a good local company is found, it will overcome all your problems with its global support.
    Incentivized
    Read full review
    Implementation Rating
    Amazon AWS
    No answers on this topic
    Amazon AWS
    No answers on this topic
    MongoDB
    While the setup and configuration of MongoDB is pretty straight forward, having a vendor that performs automatic backups and scales the cluster automatically is very convenient. If you do not have a system administrator or DBA familiar with MongoDB on hand, it's a very good idea to use a 3rd party vendor that specializes in MongoDB hosting. The value is very well worth it over hosting it yourself since the cost is often reasonable among providers.
    Incentivized
    Read full review
    Alternatives Considered
    Amazon AWS
    The only thing that can be compared to DynamoDB from the selected services can be Aurora. It is just that we use Aurora for High-Performance requirements as it can be 6 times faster than normal RDS DB. Both of them have served as well in the required scenario and we are very happy with most of the AWS services.
    Incentivized
    Read full review
    Amazon AWS
    No answers on this topic
    MongoDB
    We have [measured] the speed in reading/write operations in high load and finally select the winner = MongoDBWe have [not] too much data but in case there will be 10 [times] more we need Cassandra. Cassandra's storage engine provides constant-time writes no matter how big your data set grows. For analytics, MongoDB provides a custom map/reduce implementation; Cassandra provides native Hadoop support.
    Read full review
    Scalability
    Amazon AWS
    I have taken one point away due to its size limits. In case the application requires queries, it becomes really complicated to read and write data. When it comes to extremely large data sets such as the case in my company, a third-party logistics company, where huge amount of data is generated on a daily basis, even though the scalability is good, it becomes difficult to manage all the data due to limits.
    Incentivized
    Read full review
    Amazon AWS
    No answers on this topic
    MongoDB
    No answers on this topic
    Return on Investment
    Amazon AWS
    • Some developers see DynamoDB and try to fit problems to it, instead of picking the best solution for a given problem. This is true of any newer tool that people are trying to adopt.
    • It has allowed us to add more scalability to some of our systems.
    • As with any new technology there was a ramp up/rework phase as we learned best practices.
    Incentivized
    Read full review
    Amazon AWS
    No answers on this topic
    MongoDB
    • Open Source w/ reasonable support costs have a direct, positive impact on the ROI (we moved away from large, monolithic, locked in licensing models)
    • You do have to balance the necessary level of HA & DR with the number of servers required to scale up and scale out. Servers cost money - so DR & HR doesn't come for free (even though it's built into the architecture of MongoDB
    Read full review
    ScreenShots

    Amazon DynamoDB Screenshots

    Screenshot of Amazon DynamoDB in the AWS Console

    MongoDB Screenshots

    Product screenshotProduct screenshotProduct screenshotProduct screenshotProduct screenshotProduct screenshot