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Google Cloud Datastore

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restdb.io

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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
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Pros of Google Cloud Datastore
Pros of restdb.io
  • 7
    High scalability
  • 2
    Serverless
  • 2
    Ability to query any property
  • 1
    Pay for what you use
  • 2
    Easy, yet powerful, db setup and management

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What is Google Cloud Datastore?

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.

What is restdb.io?

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.

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What companies use Google Cloud Datastore?
What companies use restdb.io?
See which teams inside your own company are using Google Cloud Datastore or restdb.io.
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What tools integrate with Google Cloud Datastore?
What tools integrate with restdb.io?
What are some alternatives to Google Cloud Datastore and restdb.io?
Amazon DynamoDB
With it , you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Elasticsearch
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
Cassandra
Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
See all alternatives