Cloudant vs Google Cloud Bigtable vs Google Cloud Datastore

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Google Cloud Bigtable

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Google Cloud Datastore

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Pros of Cloudant
Pros of Google Cloud Bigtable
Pros of Google Cloud Datastore
  • 12
  • 7
    REST interface
  • 4
  • 3
    JavaScript support
  • 1
    Great syncing
  • 11
    High performance
  • 9
    Fully managed
  • 5
    High scalability
  • 7
    High scalability
  • 2
  • 2
    Ability to query any property
  • 1
    Pay for what you use

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What is Cloudant?

Cloudant’s distributed database as a service (DBaaS) allows developers of fast-growing web and mobile apps to focus on building and improving their products, instead of worrying about scaling and managing databases on their own.

What is Google Cloud Bigtable?

Google Cloud Bigtable offers you a fast, fully managed, massively scalable NoSQL database service that's ideal for web, mobile, and Internet of Things applications requiring terabytes to petabytes of data. Unlike comparable market offerings, Cloud Bigtable doesn't require you to sacrifice speed, scale, or cost efficiency when your applications grow. Cloud Bigtable has been battle-tested at Google for more than 10 years—it's the database driving major applications such as Google Analytics and Gmail.

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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What companies use Cloudant?
What companies use Google Cloud Bigtable?
What companies use Google Cloud Datastore?

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What tools integrate with Cloudant?
What tools integrate with Google Cloud Bigtable?
What tools integrate with Google Cloud Datastore?

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What are some alternatives to Cloudant, Google Cloud Bigtable, and Google Cloud Datastore?
Apache CouchDB is a database that uses JSON for documents, JavaScript for MapReduce indexes, and regular HTTP for its API. CouchDB is a database that completely embraces the web. Store your data with JSON documents. Access your documents and query your indexes with your web browser, via HTTP. Index, combine, and transform your documents with JavaScript.
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
Developed as an alternative to traditionally inflexible SQL databases, the Couchbase NoSQL database is built on an open source foundation and architected to help developers solve real-world problems and meet high scalability demands.
Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.
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.
See all alternatives