Amazon DynamoDBย vsย Google Cloud Datastoreย vsย Cloud Firestore

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Amazon DynamoDB
Amazon DynamoDB

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Google Cloud Datastore
Google Cloud Datastore

139
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+ 1
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Cloud Firestore
Cloud Firestore

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+ 1
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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 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.

What is Cloud Firestore?

Cloud Firestore is a NoSQL document database that lets you easily store, sync, and query data for your mobile and web apps - at global scale.
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      What companies use Amazon DynamoDB?
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        What are some alternatives to Amazon DynamoDB, Google Cloud Datastore, and Cloud Firestore?
        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, Google Cloud Datastore, and Cloud Firestore
        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 CommentBox.io
        CommentBox.io 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 Pruvit
        Pruvit uses Cloud FirestoreCloud Firestore

        All main application data is stored here. Most data is loaded through queries, but some collections are also indexed with Algolia for searching.

        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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