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  1. Stackups
  2. Application & Data
  3. NoSQL Databases
  4. NOSQL Database As A Service
  5. Cloud Firestore vs Cloudant

Cloud Firestore vs Cloudant

OverviewComparisonAlternatives

Overview

Cloudant
Cloudant
Stacks86
Followers74
Votes28
Cloud Firestore
Cloud Firestore
Stacks751
Followers900
Votes112

Cloud Firestore vs Cloudant: What are the differences?

Introduction: When comparing Cloud Firestore and Cloudant, it is essential to understand the key differences between the two databases to make an informed decision for your project.

  1. Data Model: Cloud Firestore uses a flexible, document-based data model that allows developers to store data in collections and documents, making it easy to organize and retrieve data on a granular level. On the other hand, Cloudant utilizes a schemaless JSON document store, providing developers with flexibility in storing data but may require more effort in structuring the data efficiently.

  2. Scalability: Cloud Firestore offers automatic scaling capabilities, handling traffic spikes and high volumes of data with ease. It scales horizontally with built-in load balancing, ensuring optimal performance as your application grows. In contrast, Cloudant also provides horizontal scalability but may require more manual intervention and management to optimize performance as the database size increases.

  3. Transactions: Cloud Firestore supports multi-document transactions, allowing developers to perform operations on multiple documents in a transactional manner, ensuring data consistency. On the other hand, Cloudant does not natively support multi-document transactions, requiring developers to implement custom solutions or use external services for transactional operations.

  4. Real-time Synchronization: Cloud Firestore offers real-time synchronization through live listeners, enabling applications to receive updates in real-time when data changes in the database. This feature is particularly useful for building collaborative applications or chat functionalities. In comparison, while Cloudant provides replication and synchronization capabilities, it may require more manual configuration and setup to achieve real-time updates.

  5. Querying: Cloud Firestore offers powerful querying capabilities, allowing developers to perform complex queries, filtering, and sorting on the database without the need for secondary indexes. It also supports composite queries for querying on multiple fields simultaneously. In contrast, Cloudant requires the creation of secondary indexes for efficient querying, which may involve additional maintenance and resources.

In Summary, understanding the key differences between Cloud Firestore and Cloudant, such as the data model, scalability, transactions, real-time synchronization, and querying capabilities, is crucial for selecting the right database solution for your project.

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Detailed Comparison

Cloudant
Cloudant
Cloud Firestore
Cloud Firestore

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.

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.

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.;Mobile Sync- Cloudant not only syncs between data centers around the world, but also between data centers and mobile devices.;Incremental MapReduce- Unlike Hadoop, Cloudant’s Incremental MapReduce keeps indexes up-to-date with new transactions and updates without requiring a full reindexing of your data.;Integrated Lucene Search- High-performance full-text indexing and search, without the difficulty and cost of managing text and operational data in separate databases.
Documents and collections with powerful querying;iOS, Android, and Web SDKs with offline data access;Real-time data synchronization;Automatic, multi-region data replication with strong consistency;Node, Python, Go, and Java server SDKs
Statistics
Stacks
86
Stacks
751
Followers
74
Followers
900
Votes
28
Votes
112
Pros & Cons
Pros
  • 13
    JSON
  • 7
    REST interface
  • 4
    Cheap
  • 3
    JavaScript support
  • 1
    Great syncing
Pros
  • 15
    Easy to use
  • 15
    Cloud Storage
  • 12
    Realtime Database
  • 12
    Easy setup
  • 9
    Super fast
Cons
  • 8
    Doesn't support FullTextSearch natively
Integrations
AppHarbor
AppHarbor
Heroku
Heroku
Microsoft Azure
Microsoft Azure
Amazon EC2
Amazon EC2
SoftLayer
SoftLayer
CloudBees
CloudBees
Joyent Cloud
Joyent Cloud
Rackspace Cloud Servers
Rackspace Cloud Servers
cloudControl
cloudControl
Golang
Golang
Node.js
Node.js
Java
Java
Python
Python
Firebase
Firebase
Cloud Functions for Firebase
Cloud Functions for Firebase
Google Cloud Functions
Google Cloud Functions

What are some alternatives to Cloudant, Cloud Firestore?

Amazon DynamoDB

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.

Azure Cosmos DB

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.

Google Cloud Bigtable

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.

Google Cloud Datastore

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.

CloudBoost

CloudBoost

CloudBoost.io is a database service for the “next web” - that not only does data-storage, but also search, real-time and a whole lot more which enables developers to build much richer apps with 50% less time saving them a ton of cost and helping them go to market much faster.

Firebase Realtime Database

Firebase Realtime Database

It is a cloud-hosted NoSQL database that lets you store and sync data between your users in realtime. Data is synced across all clients in realtime, and remains available when your app goes offline.

restdb.io

restdb.io

RestDB is a NoSql document oriented database cloud service. Data is accessed as JSON objects via HTTPS. This gives great flexibility, easy system integration and future compatibility.

Amazon DocumentDB

Amazon DocumentDB

Amazon DocumentDB is a non-relational database service designed from the ground-up to give you the performance, scalability, and availability you need when operating mission-critical MongoDB workloads at scale. In Amazon DocumentDB, the storage and compute are decoupled, allowing each to scale independently, and you can increase the read capacity to millions of requests per second by adding up to 15 low latency read replicas in minutes, regardless of the size of your data.

Amazon SimpleDB

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.

Datomic Cloud

Datomic Cloud

A transactional database with a flexible data model, elastic scaling, and rich queries. Datomic is designed from the ground up to run on AWS. Datomic leverages AWS technology, including DynamoDB, S3, EFS, and CloudFormation to provide a fully integrated solution.

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