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
Google Cloud Spanner
Score 5.6 out of 10
N/A
Google Cloud Spanner is a cloud database-as-a-service product offered as a service on Google Cloud Platform (GCP).
N/A
Pricing
Google Cloud Datastore
Google Cloud Spanner
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Google Cloud Datastore
Google Cloud Spanner
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
—
More Pricing Information
Community Pulse
Google Cloud Datastore
Google Cloud Spanner
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. …
Spanner scales quickly compared to Amazon RDS. Azure Database is about the same as well. MongoDB can scale to horizontal scalability, however, because Mongo doesn't support full ACID, Spanner comes into that aspect. GCP Cloud SQL not as scalable as Spanner. Spanner has …
At that point, we were looking at something [that] can hold our relational database, [...] provide stable connection, and maintain high ACID transition. BigTable is for nonrelational database so it was out of our [sight] very quickly. BigQuery is a data warehouse that can hold …
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.
If you have a large relational database and it is growing fast on daily basis, and if you have a strong need in ACID across all your clusters, and most importantly, if you need to maintain high availability in a large region, Google Cloud Spanner can be a very good choice.
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.
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.
Spanner scales quickly compared to Amazon RDS. Azure Database is about the same as well. MongoDB can scale to horizontal scalability, however, because Mongo doesn't support full ACID, Spanner comes into that aspect. GCP Cloud SQL not as scalable as Spanner. Spanner has more functionality than MongoDB and Amazon RDS & Azure Databases.