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
Oracle Autonomous Transaction Processing
Score 9.0 out of 10
N/A
Oracle offers the Autonomous Transaction Processing, supporting database self-repair and maintenance with machine learning to eliminate human labor, human error, and manual tuning.
$1.34
OCPU Per Hour
Pricing
Google Cloud Datastore
Oracle Autonomous Transaction Processing
Editions & Modules
No answers on this topic
Transaction Processing
$1.34
OCPU Per Hour
Exadata Storage
$118.40
Per Terabyte Per month
Offerings
Pricing Offerings
Google Cloud Datastore
Oracle Autonomous Transaction Processing
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Optional
Additional Details
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More Pricing Information
Community Pulse
Google Cloud Datastore
Oracle Autonomous Transaction Processing
Considered Both Products
Google Cloud Datastore
Verified User
Anonymous
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 …
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. …
Both Azure SQL Database and Oracle Autonomous Transaction Processing offer a powerful and robust database platform. The advantage of Autonomous Transaction Processing is the ability to host APEX applications for free and without any special/complicated deployment or …
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.
Connectivity between ATP and Oracle Kuberentes Engine cluster seems to drop randomly
The ATP could come in an even smaller shape as the smallest shape is already quite big . But if must be more than always free, as that version does have connectivity limitations about 20 connections
I give Google Cloud a full score because it satisfies our needs so well. We host most of our infrastructure on Google Cloud and using Google Cloud Datastore helps us to solve our NoSQL storage problem. and Google Cloud Datastore is so scalable and elastic. It saves us lots of time to maintain and saves us money.
You get almost all the features of Oracle Database, including the ability to deploy APEX applications, without having to worry about system, storage or database configuration and maintenance, backups, etc. Also, you can start for free and move up adding resources as you need.
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.
Both Azure SQL Database and Oracle Autonomous Transaction Processing offer a powerful and robust database platform. The advantage of Autonomous Transaction Processing is the ability to host APEX applications for free and without any special/complicated deployment or configuration process. Having a rapid development environment embedded for free was the main advantage for choosing Oracle as my cloud database provider.