Amazon DynamoDB vs Amazon SimpleDB vs CloudBoost

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Amazon DynamoDB
Amazon DynamoDB

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Amazon SimpleDB
Amazon SimpleDB

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CloudBoost
CloudBoost

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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 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.

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.
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Why do developers choose Amazon DynamoDB?
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              What are some alternatives to Amazon DynamoDB, Amazon SimpleDB, and CloudBoost?
              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 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.
              Amazon Redshift
              Redshift makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. It is optimized for datasets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
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              How developers use Amazon DynamoDB, Amazon SimpleDB, and CloudBoost
              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 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.

              Avatar of HyperTrack
              HyperTrack uses Amazon DynamoDBAmazon DynamoDB

              To store device health records as it allows super fast writes and range queries.

              Avatar of KASA FIK s.r.o.
              KASA FIK s.r.o. uses Amazon SimpleDBAmazon SimpleDB

              All purpose storeage

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