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Google Cloud Datastore

197
294
+ 1
12
Riak

95
114
+ 1
40
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Google Cloud Datastore vs Riak: 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, Riak is detailed as "A distributed, decentralized data storage system". Riak is a distributed database designed to deliver maximum data availability by distributing data across multiple servers. As long as your client can reach one Riak server, it should be able to write data. In most failure scenarios, the data you want to read should be available, although it may not be the most up-to-date version of that data.

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

"High scalability" is the primary reason why developers consider Google Cloud Datastore over the competitors, whereas "High Performance " was stated as the key factor in picking Riak.

Riak is an open source tool with 3.24K GitHub stars and 530 GitHub forks. Here's a link to Riak's open source repository on GitHub.

Teleport, Policygenius, and Giftstarter are some of the popular companies that use Google Cloud Datastore, whereas Riak is used by Sentry, OpenX, and Twilio SendGrid. Google Cloud Datastore has a broader approval, being mentioned in 46 company stacks & 16 developers stacks; compared to Riak, which is listed in 15 company stacks and 10 developer stacks.

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Pros of Google Cloud Datastore
Pros of Riak
  • 7
    High scalability
  • 2
    Serverless
  • 2
    Ability to query any property
  • 1
    Pay for what you use
  • 12
    High Performance
  • 9
    Easy Scalability
  • 9
    High Availability
  • 5
    Flexible
  • 1
    Strong Consistency
  • 1
    Eventual Consistency
  • 1
    Distributed
  • 1
    Multi datacenter deployments
  • 1
    Reliable

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- No public GitHub repository available -

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 Riak?

Riak is a distributed database designed to deliver maximum data availability by distributing data across multiple servers. As long as your client can reach one Riak server, it should be able to write data. In most failure scenarios, the data you want to read should be available, although it may not be the most up-to-date version of that data.

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

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What are some alternatives to Google Cloud Datastore and Riak?
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, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.
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