Amazon DynamoDBย vsย Azure Cosmos DBย vsย Google Cloud Datastore

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Amazon DynamoDB
Amazon DynamoDB

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Azure Cosmos DB
Azure Cosmos DB

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Google Cloud Datastore
Google Cloud Datastore

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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 Azure Cosmos DB?

Azure DocumentDB is a fully managed NoSQL database service built for fast and predictable performance, high availability, elastic scaling, global distribution, and ease of development.

What is 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.
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Why do developers choose Amazon DynamoDB?
Why do developers choose Azure Cosmos DB?
Why do developers choose Google Cloud Datastore?

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    What are some alternatives to Amazon DynamoDB, Azure Cosmos DB, and Google Cloud Datastore?
    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.
    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
    Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
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    Decisions about Amazon DynamoDB, Azure Cosmos DB, and Google Cloud Datastore
    Doru Mihai
    Doru Mihai
    Solution Architect ยท | 4 upvotes ยท 455 views
    Amazon DynamoDB
    Amazon DynamoDB

    I use Amazon DynamoDB because it integrates seamlessly with other AWS SaaS solutions and if cost is the primary concern early on, then this will be a better choice when compared to AWS RDS or any other solution that requires the creation of a HA cluster of IaaS components that will cost money just for being there, the costs not being influenced primarily by usage.

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    How developers use Amazon DynamoDB, Azure Cosmos DB, and Google Cloud Datastore
    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 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 uses Google Cloud DatastoreGoogle Cloud Datastore

    This is our primary database, though most of our actual data is stored in static storage. This database houses the metadata necessary for indexing and finding static data.

    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 papaver
    papaver uses Google Cloud DatastoreGoogle Cloud Datastore

    worked with a client that used datastore as their backend database. helped plan out their schema and architecture. loved the speed and simplicity.

    Avatar of Daniel Kovacs
    Daniel Kovacs uses Azure Cosmos DBAzure Cosmos DB

    If you need a document-based database with geo-redundancy (imagine AU-HU distance), this is the way to go.

    Avatar of HyperTrack
    HyperTrack uses Amazon DynamoDBAmazon DynamoDB

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

    Avatar of Giftstarter
    Giftstarter uses Google Cloud DatastoreGoogle Cloud Datastore

    We store our data in this store.

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