Amazon DynamoDBย vsย MongoLab

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Amazon DynamoDB
Amazon DynamoDB

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MongoLab

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Amazon DynamoDB vs MongoLab: What are the differences?

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; MongoLab: Database-as-a-Service for MongoDB. mLab is the largest cloud MongoDB service in the world, hosting over a half million deployments on AWS, Azure, and Google.

Amazon DynamoDB and MongoLab are primarily classified as "NoSQL Database as a Service" and "MongoDB Hosting" tools respectively.

"Predictable performance and cost" is the primary reason why developers consider Amazon DynamoDB over the competitors, whereas "Development free tier" was stated as the key factor in picking MongoLab.

According to the StackShare community, Amazon DynamoDB has a broader approval, being mentioned in 444 company stacks & 187 developers stacks; compared to MongoLab, which is listed in 102 company stacks and 40 developer stacks.

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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 MongoLab?

mLab is the largest cloud MongoDB service in the world, hosting over a half million deployments on AWS, Azure, and Google.
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Why do developers choose Amazon DynamoDB?
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    What are some alternatives to Amazon DynamoDB and MongoLab?
    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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    Decisions about Amazon DynamoDB and MongoLab
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    Interest over time
    Reviews of Amazon DynamoDB and MongoLab
    Review ofMongoLabMongoLab

    MongoLab's customer service has been amazing. We're transitioning from MongoHQ (now Compose.io) and they're making the process seamless. A++ would buy again.

    How developers use Amazon DynamoDB and MongoLab
    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 ร–zรงelik
    Volkan ร–zรงelik uses Amazon DynamoDBAmazon DynamoDB

    zerotoherojs.com โ€™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

    ๋ช‡๋ช‡ ๋กœ๊ทธ๋Š” ํ˜„์žฌ AWS DynamoDB ์— ๊ธฐ๋ก๋˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ๊ฐœ์„ ์„ ํ†ตํ•ด mongodb ๋กœ ์˜ฎ๊ธธ ๊ณ„ํš์„ ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์•„์ฃผ ๊ฐ„๋‹จํ•œ ๋ฐ์ดํ„ฐ๋ฅผ ์Œ“๋Š” ์šฉ๋„๋กœ๋Š” ๋‚˜์˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค. ๋‹ค๋งŒ, ์ฟผ๋ฆฌ๊ฐ€ ์•„์ฃผ ์ œํ•œ์ ์ž…๋‹ˆ๋‹ค. ์‚ฌ์šฉํ•˜๊ธฐ ์ „์— ๋ฐ˜๋“œ์‹œ DynamoDB ์˜ ์ŠคํŽ™์„ ํ™•์ธํ•  ํ•„์š”๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค.

    Avatar of HyperTrack
    HyperTrack uses Amazon DynamoDBAmazon DynamoDB

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

    Avatar of danlangford
    danlangford uses MongoLabMongoLab

    All our data storage fits into the free tier.

    Avatar of azawisza
    azawisza uses MongoLabMongoLab

    MongoDB provider

    How much does Amazon DynamoDB cost?
    How much does MongoLab cost?