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Amazon DynamoDB

4.6K
3.1K
+ 1
195
Riak

98
129
+ 1
44
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Amazon DynamoDB vs Riak: What are the differences?

What is Amazon DynamoDB? Fully managed NoSQL database service. All data items are stored on Solid State Drives (SSDs), and are replicated across 3 Availability Zones for high availability and durability. With DynamoDB, 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.

What is Riak? 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.

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

"Predictable performance and cost" is the primary reason why developers consider Amazon DynamoDB 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.

Netflix, Medium, and Lyft are some of the popular companies that use Amazon DynamoDB, whereas Riak is used by Sentry, OpenX, and Twilio SendGrid. Amazon DynamoDB has a broader approval, being mentioned in 444 company stacks & 187 developers stacks; compared to Riak, which is listed in 15 company stacks and 10 developer stacks.

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Pros of Amazon DynamoDB
Pros of Riak
  • 62
    Predictable performance and cost
  • 56
    Scalable
  • 35
    Native JSON Support
  • 21
    AWS Free Tier
  • 7
    Fast
  • 3
    No sql
  • 3
    To store data
  • 2
    Serverless
  • 2
    No Stored procedures is GOOD
  • 1
    ORM with DynamoDBMapper
  • 1
    Elastic Scalability using on-demand mode
  • 1
    Elastic Scalability using autoscaling
  • 1
    DynamoDB Stream
  • 14
    High Performance
  • 11
    High Availability
  • 9
    Easy Scalability
  • 5
    Flexible
  • 1
    Strong Consistency
  • 1
    Eventual Consistency
  • 1
    Distributed
  • 1
    Multi datacenter deployments
  • 1
    Reliable

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Cons of Amazon DynamoDB
Cons of Riak
  • 4
    Only sequential access for paginate data
  • 1
    Scaling
  • 1
    Document Limit Size
    Be the first to leave a con

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    - No public GitHub repository available -

    What is 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.

    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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    Jobs that mention Amazon DynamoDB and Riak as a desired skillset
    CBRE
    United States of America Texas Richardson
    CBRE
    United States of America Texas Richardson
    What companies use Amazon DynamoDB?
    What companies use Riak?
    See which teams inside your own company are using Amazon DynamoDB or Riak.
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    What tools integrate with Amazon DynamoDB?
    What tools integrate with Riak?

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    Blog Posts

    GitHubPythonNode.js+47
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    GitHubGitSlack+30
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    GitHubDockerAmazon EC2+23
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    GitHubPythonSlack+25
    7
    3024
    What are some alternatives to Amazon DynamoDB and Riak?
    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.
    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.
    Amazon SimpleDB
    Developers simply store and query data items via web services requests and Amazon SimpleDB does the rest. Behind the scenes, Amazon SimpleDB creates and manages multiple geographically distributed replicas of your data automatically to enable high availability and data durability. Amazon SimpleDB provides a simple web services interface to create and store multiple data sets, query your data easily, and return the results. Your data is automatically indexed, making it easy to quickly find the information that you need. There is no need to pre-define a schema or change a schema if new data is added later. And scale-out is as simple as creating new domains, rather than building out new servers.
    MySQL
    The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
    Amazon S3
    Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
    See all alternatives