Amazon DynamoDB vs Google Cloud Datastore

Likelihood to Recommend

It is ideal for those projects where you need to store a large amount of data, but you do not know how many will be so you need the database to increase its storage capacity together with the number of users, without having to spend extra money, it also has a great potential thanks to the fast connection it offers, so the data travels at high speed, and this speeds up the performance of the applications, excellent for projects where non-relational databases are used and what matters is to store large quantities of information and use them at high speed.

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Winston Mendes

Software Developer

Globalsoft SolutionsComputer Software, 51-200 employees

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Using Google Cloud Datastore in conjunction with Google AppEngine was a very seamless integration and much easier than using other datastores since so much of the configuration is abstracted for you. Because of this, creating simple applications is very easy and getting Google Cloud Datastore to power the backend ties everything together. If we were using Google Compute Engine, I'd imagine the same seamless experience would be there as well.

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Verified User

Engineer in Engineering

Internet Company, 51-200 employees

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Feature Rating Comparison

Amazon DynamoDB

Google Cloud Datastore

Performance

Availability

Concurrency

Security

Scalability

Data model flexibility

Deployment model flexibility

Pros

It's very easy to get started, creating a table with a partition/sort key and you're on your way.
You can scale up and down your read/write IO as needed.
You can store structured and unstructured data.
It works great with Web Development as it's JSON based.

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Bob Smith

Founder, Owner

CodeLinguists LLCComputer Software, 1-10 employees

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Automatically handles shards and replication.
Schema-less & NoSQL.
Fully managed.

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Verified User

Engineer in Engineering

Internet Company, 51-200 employees

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Cons

Complex searching (no support for case-insensitive or full-text search).
Only supports up to two-key indexes.
Requires choosing the indexes up-front when doing searches.
Does not have an SQL compatible query front-end.
No join-table support (requires putting all data into one table).

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Chris Moyer

VP of Technology

NewstexComputer Software, 1-10 employees

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Part of the Google Cloud Platform walled garden.
Pay for read/writes to the datastore, in addition to storage.
Not many libraries exist.

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Verified User

Engineer in Engineering

Internet Company, 51-200 employees

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Likelihood to Renew

Amazon DynamoDB 9.0

Based on 31 answers

We will most likely continue to use DynamoDB for certain use-cases. If we stopped using DynamoDB as often, it would likely be because we started using Aurora Serverless more. Aurora Serverless may offer similar availability, management and cost benefits while allowing developers to use their MySQL tools and experience.

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Verified User

Engineer in Engineering

Research Company, 11-50 employees

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Google Cloud Datastore 10.0

Based on 1 answer

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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Verified User

Engineer in Engineering

Internet Company, 51-200 employees

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Alternatives Considered

We evaluated using MongoDB or Amazon DyanmoDB. For us, the biggest advantage is that there's no maintenance cost for Amazon DynamoDB. Mongo gets complicated when you setup sharding. With Amazon DynamoDB, it's literally a push of button to increase throughput. This saves time and money on DevOps resources.

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Verified User

Engineer in Engineering

Computer Software Company, 11-50 employees

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If deploying an application in Google Cloud Platform, using Google Cloud Datastore is a no brainer because of the simplicity of setup. Other options would require more setup and configuration, and do not come with the same level of guaranteed uptime as Google Cloud Datastore. In our case, we've been using Google Cloud Datastore for 4 years without any issues and have never had to think about it.

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Verified User

Engineer in Engineering

Internet Company, 51-200 employees

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Return on Investment

Since the Amazon manages the instance, the amount of time a developer needs to spend configuring the database is less. For comparison, if we were to manage the same instance manually, we need to set up EC2 instance, install the DB, setup backup scripts, track backup failures, which is a great overhead for the dev. Using DynamoDB this overhead is reduced and hence having a great ROI.
Great documentation and easy setup makes an easy learning curve to transition to DynamoDB. Only caveat is as with any database, the data structure should be thoroughly analyzed for types of querying because there are limitations with the DynamoDB API.
Ties very well with rest of the Amazon eco system. Having rest of the applications in Amazon allows managing the application security a breeze.

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Anudeep Palanki

Application Developer

Monsanto CompanyFarming, 10,001+ employees

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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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Verified User

Engineer in Engineering

Internet Company, 51-200 employees

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Amazon DynamoDB vs Google Cloud Datastore

Amazon DynamoDB

Google Cloud Datastore

Feature Rating Comparison

NoSQL Databases

Performance

Availability

Concurrency

Security

Scalability

Data model flexibility

Deployment model flexibility

Pros

Cons

Likelihood to Renew

Alternatives Considered

Return on Investment

Pricing Details

General

Free Trial

Free/Freemium Version

Premium Consulting/Integration Services

Entry-level set up fee?

General

Free Trial

Free/Freemium Version

Premium Consulting/Integration Services

Entry-level set up fee?

Rating Summary

Likelihood to Recommend

Likelihood to Renew

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