Amazon DynamoDB vs CloudBoost vs Datomic Cloud

Amazon DynamoDB
Amazon DynamoDB

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CloudBoost
CloudBoost

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Datomic Cloud
Datomic Cloud

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What is Amazon DynamoDB?

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 CloudBoost?

CloudBoost.io is a database service for the “next web” - that not only does data-storage, but also search, real-time and a whole lot more which enables developers to build much richer apps with 50% less time saving them a ton of cost and helping them go to market much faster.

What is Datomic Cloud?

A transactional database with a flexible data model, elastic scaling, and rich queries. Datomic is designed from the ground up to run on AWS. Datomic leverages AWS technology, including DynamoDB, S3, EFS, and CloudFormation to provide a fully integrated solution.

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              What are some alternatives to Amazon DynamoDB, CloudBoost, and Datomic Cloud?
              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.
              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
              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.
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              How developers use Amazon DynamoDB, CloudBoost, and Datomic Cloud
              Avatar of Karma
              Karma uses Amazon DynamoDBAmazon DynamoDB

              For most of the stuff we use MySQL. We just use Amazon RDS. But for some stuff we use Amazon DynamoDB. We love DynamoDB. It's amazing. We store usage data in there, for example. I think we have close to seven or eight hundred million records in there and it's scaled like you don't even notice it. You never notice any performance degradation whatsoever. It's insane, and the last time I checked we were paying $150 bucks for that.

              Avatar of Volkan Özçelik
              Volkan Özçelik uses Amazon DynamoDBAmazon DynamoDB

              zerotoherojs.com ’s userbase, and course details are stored in DynamoDB tables.

              The good thing about AWS DynamoDB is: For the amount of traffic that I have, it is free. It is highly-scalable, it is managed by Amazon, and it is pretty fast.

              It is, again, one less thing to worry about (when compared to managing your own MongoDB elsewhere).

              Avatar of CloudRepo
              CloudRepo uses Amazon DynamoDBAmazon DynamoDB

              We store customer metadata in DynamoDB. We decided to use Amazon DynamoDB because it was a fully managed, highly available solution. We didn't want to operate our own SQL server and we wanted to ensure that we built CloudRepo on high availability components so that we could pass that benefit back to our customers.

              Avatar of Matt Welke
              Matt Welke uses Amazon DynamoDBAmazon DynamoDB

              When creating proofs of concept or small personal projects that are hosted primarily in AWS, with non-relational data models, this is the NoSQL managed database I usually pair them with.

              Avatar of nrise
              nrise uses Amazon DynamoDBAmazon DynamoDB

              몇몇 로그는 현재 AWS DynamoDB 에 기록되고 있습니다. 개선을 통해 mongodb 로 옮길 계획을 하고 있습니다. 아주 간단한 데이터를 쌓는 용도로는 나쁘지 않습니다. 다만, 쿼리가 아주 제한적입니다. 사용하기 전에 반드시 DynamoDB 의 스펙을 확인할 필요가 있습니다.

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