Amazon DynamoDB vs. Google Cloud Datastore

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon DynamoDB
Score 8.8 out of 10
N/A
Amazon DynamoDB is a cloud-native, NoSQL, serverless database service.
$0
capacity unit per hour
Google Cloud Datastore
Score 8.3 out of 10
N/A
Google Cloud Datastore is a NoSQL "schemaless" database as a service, supporting diverse data types. The database is managed; Google manages sharding and replication and prices according to storage and activity.N/A
Pricing
Amazon DynamoDBGoogle Cloud Datastore
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 DynamoDBGoogle Cloud Datastore
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 DynamoDBGoogle Cloud Datastore
Considered Both Products
Amazon DynamoDB
Chose Amazon DynamoDB
We use all of them in different scenarios. The reason we use DynamoDb is that we have already implemented AWS Services in our production environment. Deploying DynamoDB service is relatively easier than others. Therefore, we choose to use DynamoDB. it also brings great benefits …
Google Cloud Datastore
Chose Google Cloud Datastore
We selected Google Cloud Datastore as one of our candidates for our NoSQL data is because it is provided by Google Cloud, which fits our needs. Most of our infrastructure is on Google Cloud, so when we think about the NoSQL database, the first thing we thought about is Google …
Top Pros
Top Cons
Features
Amazon DynamoDBGoogle Cloud Datastore
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Amazon DynamoDB
9.2
70 Ratings
5% above category average
Google Cloud Datastore
10.0
2 Ratings
13% above category average
Performance9.269 Ratings10.02 Ratings
Availability9.470 Ratings10.02 Ratings
Concurrency8.868 Ratings10.02 Ratings
Security9.070 Ratings10.02 Ratings
Scalability9.469 Ratings10.02 Ratings
Data model flexibility8.667 Ratings10.02 Ratings
Deployment model flexibility10.023 Ratings9.92 Ratings
Best Alternatives
Amazon DynamoDBGoogle Cloud Datastore
Small Businesses
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon DynamoDBGoogle Cloud Datastore
Likelihood to Recommend
8.9
(80 ratings)
9.9
(2 ratings)
Likelihood to Renew
10.0
(34 ratings)
10.0
(2 ratings)
Usability
8.4
(4 ratings)
-
(0 ratings)
Performance
9.1
(44 ratings)
-
(0 ratings)
Support Rating
6.3
(4 ratings)
-
(0 ratings)
Product Scalability
9.1
(44 ratings)
-
(0 ratings)
User Testimonials
Amazon DynamoDBGoogle Cloud Datastore
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
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Google
If you want a serverless NoSQL database, no matter it is for personal use, or for company use, Google Cloud Datastore should be on top of your list, especially if you are using Google Cloud as your primary cloud platform. It integrates with all services in the Google Cloud platform.
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.
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Google
  • Automatically handles shards and replication.
  • Schema-less & NoSQL.
  • Fully managed.
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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.
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Google
  • It is hosted on GCP, which makes it harder if your company have multi-cloud strategy.
  • When you want to migrate to other cloud providers, there can be a caveat.
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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.
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Google
For the amount of use we're getting from Google Cloud Datastore, switching to any other platform would have more cost with little gain. Not having to manage and maintain Google Cloud Datastore for over 4 years has allowed our teams to work on other things. The price is so low that almost any other option for our needs would be far more expensive in time and money.
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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.
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Google
No answers on this topic
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.
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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.
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Google
No answers on this topic
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.
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Google
We selected Google Cloud Datastore as one of our candidates for our NoSQL data is because it is provided by Google Cloud, which fits our needs. Most of our infrastructure is on Google Cloud, so when we think about the NoSQL database, the first thing we thought about is Google Cloud Datastore. And it proves itself.
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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.
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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.
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Google
  • Simple billing part of Google Cloud Platform
  • No time spent configuring and maintaining Google Cloud Datastore.
  • Very good uptime for our applications.
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ScreenShots

Amazon DynamoDB Screenshots

Screenshot of Amazon DynamoDB in the AWS Console