Google Cloud Datastore vs restdb.io: What are the differences?
Developers describe Google Cloud Datastore as "A Fully Managed NoSQL Data Storage Service". Use a managed, NoSQL, schemaless database for storing non-relational data. Cloud Datastore automatically scales as you need it and supports transactions as well as robust, SQL-like queries. On the other hand, restdb.io is detailed as "A plug and play database service for the web and beyond". RestDB is a NoSql document oriented database cloud service. Data is accessed as JSON objects via HTTPS. This gives great flexibility, easy system integration and future compatibility.
Google Cloud Datastore and restdb.io can be primarily classified as "NoSQL Database as a Service" tools.
Some of the features offered by Google Cloud Datastore are:
- Schemaless access, with SQL-like querying
- Managed database
- Autoscale with your users
On the other hand, restdb.io provides the following key features:
- NoSQL + Schema + API
- Rich Data Types, Relations and Hierarchy
- Data Management and Collaboration web app
What is Google Cloud Datastore?
What is restdb.io?
Need advice about which tool to choose?Ask the StackShare community!
What are the cons of using Google Cloud Datastore?
What are the cons of using restdb.io?
Sign up to get full access to all the companiesMake informed product decisions
What tools integrate with Google Cloud Datastore?
This is our primary database, though most of our actual data is stored in static storage. This database houses the metadata necessary for indexing and finding static data.
worked with a client that used datastore as their backend database. helped plan out their schema and architecture. loved the speed and simplicity.