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Google Cloud Datastore

251
356
+ 1
12
Redis Cloud

71
125
+ 1
9
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Google Cloud Datastore vs Redis Cloud: What are the differences?

What is Google Cloud Datastore? 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.

What is Redis Cloud? Enterprise-Class Redis for Developers. Redis Cloud is a fully-managed service for running your Redis dataset. It overcomes Redis’ scalability limitation by supporting all Redis commands at any dataset size. Your dataset is constantly replicated, so if a node fails, an auto-switchover mechanism guarantees data is served without interruption.

Google Cloud Datastore can be classified as a tool in the "NoSQL Database as a Service" category, while Redis Cloud is grouped under "Redis Hosting".

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, Redis Cloud provides the following key features:

  • Infinite scalability, all commands supported
  • Auto-failover with no ops
  • Highest performance, even for small datasets

"High scalability" is the top reason why over 4 developers like Google Cloud Datastore, while over 7 developers mention "Heroku Addon" as the leading cause for choosing Redis Cloud.

Teleport, Policygenius, and Giftstarter are some of the popular companies that use Google Cloud Datastore, whereas Redis Cloud is used by Accenture, Luckycycle, and Ztory. Google Cloud Datastore has a broader approval, being mentioned in 46 company stacks & 16 developers stacks; compared to Redis Cloud, which is listed in 20 company stacks and 9 developer stacks.

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Pros of Google Cloud Datastore
Pros of Redis Cloud
  • 7
    High scalability
  • 2
    Serverless
  • 2
    Ability to query any property
  • 1
    Pay for what you use
  • 9
    Heroku Addon

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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 Redis Cloud?

Redis Cloud is a fully-managed service for running your Redis dataset. It overcomes Redis’ scalability limitation by supporting all Redis commands at any dataset size. Your dataset is constantly replicated, so if a node fails, an auto-switchover mechanism guarantees data is served without interruption.

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What companies use Google Cloud Datastore?
What companies use Redis Cloud?
See which teams inside your own company are using Google Cloud Datastore or Redis Cloud.
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What tools integrate with Google Cloud Datastore?
What tools integrate with Redis Cloud?

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What are some alternatives to Google Cloud Datastore and Redis Cloud?
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