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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.
Pros of Amazon DynamoDB
- Predictable performance and cost62
- Scalable56
- Native JSON Support35
- AWS Free Tier21
- Fast7
- No sql3
- To store data3
- Serverless2
- No Stored procedures is GOOD2
- ORM with DynamoDBMapper1
- Elastic Scalability using on-demand mode1
- Elastic Scalability using autoscaling1
- DynamoDB Stream1
Pros of Riak
- High Performance14
- High Availability11
- Easy Scalability9
- Flexible5
- Strong Consistency1
- Eventual Consistency1
- Distributed1
- Multi datacenter deployments1
- Reliable1
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Cons of Amazon DynamoDB
- Only sequential access for paginate data4
- Scaling1
- Document Limit Size1