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Cloudant

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Google Cloud Datastore

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Cloudant vs Google Cloud Datastore: What are the differences?

Developers describe Cloudant as "Distributed database-as-a-service (DBaaS) for web & mobile apps". 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. On the other hand, Google Cloud Datastore is detailed as "A Fully Managed NoSQL Data Storage Service". 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.

Cloudant and Google Cloud Datastore can be primarily classified as "NoSQL Database as a Service" tools.

Some of the features offered by Cloudant are:

  • Managed- Cloudant's big data experts monitor your data 24/7 to ensure its high availability and safety.
  • Distributed Multi-Master Database- All read and write transactions can be synced across Cloudant's global data network without global locks, providing true high availability of your data.
  • Geo-load Balancing- To keep latency low, our geo-load balancing infrastructure routes requests to the copies of the data that are geographically closest to the requestor.

On the other hand, Google Cloud Datastore provides the following key features:

  • Schemaless access, with SQL-like querying
  • Managed database
  • Autoscale with your users

"JSON" is the primary reason why developers consider Cloudant over the competitors, whereas "High scalability" was stated as the key factor in picking Google Cloud Datastore.

Decisions about Cloudant and Google Cloud Datastore
Eduardo Fernandez
Software Engineer at Parrot Software, Inc. · | 5 upvotes · 12.9K views

CouchDB has proven us to be a reliable multi-master NoSQL JSON database built natively for the web.

We decided to use it over alternatives such as Firebase due topology, costs and frontend architecture.

Thanks to CouchDB we are now a frontend first CRM platform. We are capable of delivering and leveraging our frontend code to build most of our new functionalities directly within the frontend which we enrich through backend sidecars connected to each Parrot and each CouchDB.

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Pros of Cloudant
Pros of Google Cloud Datastore
  • 13
    JSON
  • 7
    REST interface
  • 4
    Cheap
  • 3
    JavaScript support
  • 1
    Great syncing
  • 7
    High scalability
  • 2
    Serverless
  • 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 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 Datastore?
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What tools integrate with Cloudant?
What tools integrate with Google Cloud Datastore?

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What are some alternatives to Cloudant and Google Cloud Datastore?
CouchDB
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
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).
Couchbase
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
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
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