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

    Google Cloud SQL

    Score8.7 out of 10
    N/AGoogle Cloud SQL is a database-as-a-service (DBaaS) with the capability and functionality of MySQL.

    $0

    per core hour

    Pricing
    Amazon DynamoDBGoogle Cloud SQL
    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
    License - Express
    $0
    per core hour
    License - Web
    $0.01134
    per core hour
    Storage - for backups
    $.08
    per month per GB
    HA Storage - for backups
    $.08
    per month per GB
    Storage - HDD storage capacity
    $.09
    per month per GB
    License - Standard
    $0.13
    per core hour
    Storage - SSD storage capacity
    $.17
    per month per GB
    HA Storage - HDD storage capacity
    $.18
    per month per GB
    HA Storage - SSD storage capacity
    $.34
    per month per GB
    License - Enterprise
    $0.47
    per core hour
    Memory
    $5.11
    per month per GB
    HA Memory
    $10.22
    per month per GB
    vCPUs
    $30.15
    per month per vCPU
    HA vCPUs
    $60.30
    per month per vCPU
    Offerings
    Pricing Offerings
    Amazon DynamoDBGoogle Cloud SQL
    Free Trial
    NoYes
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details—Pricing varies with editions, engine, and settings, including how much storage, memory, and CPU you provision. Cloud SQL offers per-second billing.
    More Pricing Information
    Community Pulse
    Amazon DynamoDBGoogle Cloud SQL
    Considered Both Products
    Amazon AWS
    Chose Amazon DynamoDB
    Dynamo DB is definitely more efficient and able to be configured easier than both. I just would say you have to know what you are doing with SQL as well. Because if you don’t know anything about SQL, you could always use Dynamo DB to help store your big data.
    Incentivized
    Google
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    47 Answers
    100%
    Would buy again
    32 Answers
    Delivers good value for the price
    98%
    Delivers good value for the price
    44 Answers
    100%
    Delivers good value for the price
    32 Answers
    Happy with the feature set
    98%
    Happy with the feature set
    46 Answers
    100%
    Happy with the feature set
    32 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    39 Answers
    100%
    Lived up to sales and marketing promises
    24 Answers
    Implementation went as expected
    93%
    Implementation went as expected
    40 Answers
    100%
    Implementation went as expected
    29 Answers
    Features
    Amazon DynamoDBGoogle Cloud SQL
    NoSQL Databases
    Comparison of NoSQL Databases features of Amazon DynamoDB and Google Cloud SQL
    Feature
    Amazon DynamoDB
    9.2
    69 Ratings
    7% above category average
    Google Cloud SQL
    -
    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 Google Cloud SQL
    Feature
    Amazon DynamoDB
    -
    Ratings
    Google Cloud SQL
    8.9
    35 Ratings
    5% above category average
    Automatic software patching00 Ratings9.612 Ratings
    Database scalability00 Ratings8.635 Ratings
    Automated backups00 Ratings8.735 Ratings
    Database security provisions00 Ratings8.635 Ratings
    Monitoring and metrics00 Ratings9.134 Ratings
    Automatic host deployment00 Ratings9.012 Ratings
    Best Alternatives
    Amazon DynamoDBGoogle Cloud SQL
    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 BigQuery
    Score8.8 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Amazon DynamoDBGoogle Cloud SQL
    Likelihood to Recommend
    8.9
    (79 ratings)
    8.4
    (35 ratings)
    Likelihood to Renew
    10.0
    (34 ratings)
    9.1
    (2 ratings)
    Usability
    9.1
    (4 ratings)
    8.6
    (17 ratings)
    Performance
    9.1
    (42 ratings)
    -
    (0 ratings)
    Support Rating
    5.2
    (4 ratings)
    9.1
    (5 ratings)
    Implementation Rating
    -
    (0 ratings)
    9.1
    (1 ratings)
    Ease of integration
    -
    (0 ratings)
    9.3
    (12 ratings)
    Product Scalability
    9.1
    (42 ratings)
    -
    (0 ratings)
    User Testimonials
    Amazon DynamoDBGoogle Cloud SQL
    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
    Google
    Does what it promises well, for instance, as a sidecar for the main enterprise data warehouse. However, I would not recommend using it as the main data warehouse, particularly due to the heavy business logic, as other dedicated tools are more suitable for ensuring scalable operations in terms of change management and multi-developer adjustments.
    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
    Google
    • It has a easily and user understandable interface which provides it every necessary feature to come up with.
    • It's backend is very strong that can help us to run big quieres without any hesitation.
    • It's integration with other tools are one of the powerful feature which makes it more suitable to use.
    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
    Google
    • Increasing support for more database engines may enable a wider range of application needs to be met.
    • Implementing and updating cutting-edge security features on a constant basis.
    • Streamlining and enhancing the tools for transferring data to Google Cloud SQL from on-premises databases or other cloud providers.
    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
    Google
    It fits the current needs and bandwith of out lean organization.
    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
    Google
    As with other cloud tools, users must learn a new terminology to navigate the various tools and configurations, and understand Google Cloud's configuration structure to perform even the most basic operations. So the learning curve is quite steep, but after a few months, it gets easier to maintain.
    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
    Google
    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
    Google
    GCP support in general requires a support agreement. For small organizations like us, this is not affordable or reasonable. It would help if Google had a support mechanism for smaller organizations. It was a steep learning curve for us because this was our first entry into the cloud database world. Better documentation also would have helped.
    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
    Google
    Unlike other products, Google Cloud SQL has very flexible features that allow it to be selected for a free trial account so that the product can be analyzed and tested before purchasing it. Integration capabilities with most of the web services tools are easier regarding Google Cloud SQL with its nature and support.
    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
    Google
    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
    Google
    • Improved integration with Google Cloud, we have set up some automations with Google Workspace, and we have noticed that the raw data sharing between them is very fast as compared to using some other managed database, not sure why.
    • Due to some downtime during maintenance, we had to set up a relatively small service which ingested the data while this went down and dumped it when it came back up. So this was a negative impact on our ROI, since now we had to remedy this downtime against the same profit margins
    • It was cheaper than the legacy aws service since we needed large database instances
    Incentivized
    Read full review
    ScreenShots

    Amazon DynamoDB Screenshots

    Screenshot of Amazon DynamoDB in the AWS Console

    Google Cloud SQL Screenshots

    Screenshot of migrating to a fully managed database solution - Self-managing a database, such as MySQL, PostgreSQL, or SQL Server, can be inefficient and expensive, with significant effort around patching, hardware maintenance, backups, and tuning. Migrating to a fully managed solution can be done using a Database Migration Service with minimal downtime.Screenshot of data-driven application development - Cloud SQL accelerates application development via integration with the larger ecosystem of Google Cloud services, Google partners, and the open source community.