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    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

    IBM Cloud Databases

    Score8 out of 10
    N/AIBM Cloud Databases are open source data stores for enterprise application development. Built on a Kubernetes foundation, they offer a database platform for serverless applications. They are designed to scale storage and compute resources seamlessly without being constrained by the limits of a single server. Natively integrated and available in the IBM Cloud console, these databases are now available through a consistent consumption, pricing, and interaction model. They aim to provide a cohesive…N/A
    Pricing
    Amazon DynamoDBIBM Cloud Databases
    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
    Offerings
    Pricing Offerings
    Amazon DynamoDBIBM Cloud Databases
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details
    More Pricing Information
    Community Pulse
    Amazon DynamoDBIBM Cloud Databases
    Considered Both Products
    Amazon AWS
    No answer on this topic
    IBM
    Chose IBM Cloud Databases
    IBM cloud database has a lot of features than Amazon DynamoDB. This is my personal opinion. But I can't say Amazon DynamoDB is a bad one. But IBM cloud database has a lot of securities and file storage and backup features than Amazon DynamoDB. But both are good in their own …
    Incentivized
    Chose IBM Cloud Databases
    I've tried Amazon DynamoDB and Heroku Postgres, but Compose was much much easier and faster to set up, and also has more DB alternatives.
    Incentivized
    Chose IBM Cloud Databases
    We use Amazon Aurora as our primary datastore and use IBM Compose Mongo as an alternative only when Aurora does not cover the use case well. Amazon DynamoDB looks good but doesn't have the same wealth of libraries and support which makes MongoDB easy to use and therefore was …
    Incentivized
    Chose IBM Cloud Databases
    I have used Amazon DynamoDm and compared to IBM Compose, I would say IBM Compose is affordable, easy to use and very fast as well. I would opt IBM Cloud Databases given the two choices
    Incentivized
    Chose IBM Cloud Databases
    Well for MySQL we had to use Amazon because of the pricing structure. We are using Mongo on Compose and it has been pretty good to us for the past 2 years. We are moving all of our databases to Amazon for the customer support and pricing structure that is competitive to Compose,
    Incentivized
    Key User Insights
    Would buy again
    100%
    Would buy again
    47 Answers
    94%
    Would buy again
    15 Answers
    Delivers good value for the price
    98%
    Delivers good value for the price
    44 Answers
    80%
    Delivers good value for the price
    12 Answers
    Happy with the feature set
    98%
    Happy with the feature set
    46 Answers
    100%
    Happy with the feature set
    16 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    39 Answers
    93%
    Lived up to sales and marketing promises
    14 Answers
    Implementation went as expected
    93%
    Implementation went as expected
    40 Answers
    93%
    Implementation went as expected
    14 Answers
    Features
    Amazon DynamoDBIBM Cloud Databases
    NoSQL Databases
    Comparison of NoSQL Databases features of Amazon DynamoDB and IBM Cloud Databases
    Feature
    Amazon DynamoDB
    9.2
    69 Ratings
    7% above category average
    IBM Cloud Databases
    -
    Ratings
    Performance9.368 Ratings00 Ratings
    Availability9.569 Ratings00 Ratings
    Concurrency9.067 Ratings00 Ratings
    Security9.269 Ratings00 Ratings
    Scalability9.468 Ratings00 Ratings
    Data model flexibility8.266 Ratings00 Ratings
    Deployment model flexibility10.023 Ratings00 Ratings
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Amazon DynamoDB and IBM Cloud Databases
    Feature
    Amazon DynamoDB
    -
    Ratings
    IBM Cloud Databases
    7.3
    94 Ratings
    14% below category average
    Automatic software patching00 Ratings8.577 Ratings
    Database scalability00 Ratings10.088 Ratings
    Automated backups00 Ratings7.091 Ratings
    Database security provisions00 Ratings9.084 Ratings
    Monitoring and metrics00 Ratings4.088 Ratings
    Automatic host deployment00 Ratings5.269 Ratings
    Best Alternatives
    Amazon DynamoDBIBM Cloud Databases
    Small Businesses
    IBM Cloudant
    Score7.4 out of 10
    MongoDB Atlas
    Score7.8 out of 10
    Medium-sized Companies
    IBM Cloudant
    Score7.4 out of 10
    Azure Database
    Score8.8 out of 10
    Enterprises
    IBM Cloudant
    Score7.4 out of 10
    Google Cloud SQL
    Score8.7 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Amazon DynamoDBIBM Cloud Databases
    Likelihood to Recommend
    8.9
    (79 ratings)
    8.0
    (96 ratings)
    Likelihood to Renew
    10.0
    (34 ratings)
    8.0
    (7 ratings)
    Usability
    9.1
    (4 ratings)
    8.0
    (7 ratings)
    Performance
    9.1
    (42 ratings)
    -
    (0 ratings)
    Support Rating
    5.2
    (4 ratings)
    1.0
    (10 ratings)
    Product Scalability
    9.1
    (42 ratings)
    -
    (0 ratings)
    User Testimonials
    Amazon DynamoDBIBM Cloud Databases
    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
    IBM
    Less Appropriate Scenario: 1) Small Scale or Low Budget Projects 2) Organizations with limited expertise in cloud technologies may find the learning curve steep, especially if they are not familiar with the IBM Cloud platform 3) If database requirements are highly dynamic and change frequently, the comprehensive features and management provided by IBM Cloud Databases might be overkill. A more flexible, self-managed solution could be preferable for adapting to rapid changes.
    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
    IBM
    • The ease of setup was effortless. For anyone with development experience, a few simple questions such as name and login data will get you set up.
    • The web application to manage cluster settings, billing settings and even introspect the data was simple and most importantly worked all the time. This can not always be said for web interfaces of other products.
    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
    IBM
    • Better cost reports, before just increasing to another tier, thus increasing the price. This is critical for early stage startups, where budget is tight.
    • Add more data center options. As a comparison, a similar service, Aiven.io has dozen more options than Compose (basically all big cloud providers). We moved from AWS to Digital Ocean, which made us stop using Compose, since Compose forces us to be either on IBM or AWS.
    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
    IBM
    IBM is our trusted partner which never failed to meet our expectations. Stability, efficiency, usability and security is a must have for our business which is fully provided by IBM Cloud Databases
    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
    IBM
    IBM Cloud Databases' pricing structure is easy to understand, and if you choose the right product, you can operate your system at minimal cost. Although there is ample documentation available, there doesn't seem to be a user community running on it, so specific usage know-how and troubleshooting can sometimes take longer than expected.
    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
    IBM
    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
    IBM
    Support is helpful enough, but we haven't always had questions answered in a satisfactory manner. At one time we realized that Compose had stopped taking database snapshots on its two-per-day schedule, and had in fact not taken one for many days. Support recognized the problem and it was fixed, but the lack of proactive checks and the inability to share exactly what happened has caused us to look elsewhere for production work loads
    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
    IBM
    The reason why I choose IBM Cloud Databases is that the IBM cloud toolset is already being used in other functions of the company and by using IBM Cloud Databases, the other cloud tools are better embedded and integrated. If the company is set to use amazon tools, I would go for rds.
    Incentivized
    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
    IBM
    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
    IBM
    • Prove use cases prior to administering entire platform, obtain ROI faster
    • Able to achieve the technological components of our advanced analytics team without full scale purchase of AI platform
    • Developed several studies to prove out cloud Db value, speed to deploy
    Incentivized
    Read full review
    ScreenShots

    Amazon DynamoDB Screenshots

    Screenshot of Amazon DynamoDB in the AWS Console