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

Cloudant vs restdb.io

OverviewComparisonAlternatives

Overview

Cloudant
Cloudant
Stacks86
Followers74
Votes28
restdb.io
restdb.io
Stacks13
Followers27
Votes2

Cloudant vs restdb.io: What are the differences?

# Introduction

Key differences between Cloudant and restdb.io:

1. **Database Type**: Cloudant is a NoSQL database service built on CouchDB, allowing for flexible JSON-based document storage and indexing, while restdb.io is a RESTful cloud database service that supports traditional relational data models with schema enforcement.
   
2. **Server-Side Scripting**: Cloudant provides the ability to execute server-side scripts written in JavaScript through its built-in support for Design Documents, enabling custom business logic and data manipulation directly within the database, whereas restdb.io does not offer server-side scripting capabilities, limiting complex data operations.
   
3. **Real-Time Data Sync**: Cloudant offers real-time data synchronization through its Global Clusters feature, ensuring data consistency across different geographic locations, while restdb.io lacks native support for real-time data synchronization, potentially leading to data discrepancies in distributed environments.
   
4. **Full-Text Search**: Cloudant provides robust full-text search capabilities via its Lucene-based indexing and querying, enabling efficient text searching within large datasets, whereas restdb.io has limited support for full-text search, making it less suitable for applications with extensive text search requirements.
   
5. **Scalability**: Cloudant offers seamless scalability through its distributed database architecture, allowing for automatic sharding and replication to handle growing data volumes and user loads, while restdb.io provides a more limited scalability model, which may require manual configuration adjustments for handling increased workloads.
   
6. **Monitoring and Analytics**: Cloudant includes built-in monitoring and analytics tools for tracking database performance and usage metrics, facilitating optimization and troubleshooting, whereas restdb.io lacks comprehensive monitoring and analytics features, requiring additional third-party tools for similar functionality.

In Summary, Cloudant and restdb.io differ in database type, server-side scripting, real-time data sync, full-text search, scalability, and monitoring/analytics capabilities.

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Detailed Comparison

Cloudant
Cloudant
restdb.io
restdb.io

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.

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.

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.
NoSQL + Schema + API; Rich Data Types, Relations and Hierarchy; Data Management and Collaboration web app; Media Archive; Random Data Generator; HTML Pages inside database; Excel,CSV,JSON Import and Export of data; Webhooks, Auth0 external user Authentication
Statistics
Stacks
86
Stacks
13
Followers
74
Followers
27
Votes
28
Votes
2
Pros & Cons
Pros
  • 13
    JSON
  • 7
    REST interface
  • 4
    Cheap
  • 3
    JavaScript support
  • 1
    Great syncing
Pros
  • 2
    Easy, yet powerful, db setup and management
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
Zapier
Zapier
Auth0
Auth0

What are some alternatives to Cloudant, restdb.io?

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.

Cloud Firestore

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.

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.

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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