IBM Cloudant - Great for your organization!
I have primarily used [IBM] Cloudant to facilitate academic and non-profit research.
Starting at $1 per month per GB of storage above the included 20 GB
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What is IBM Cloudant?
Cloudant is an open source non-relational, distributed database service that requires zero-configuration. It's based on the Apache-backed CouchDB project and the creator of the open source BigCouch project. Cloudant's service provides integrated data management, search, and analytics engine designed for web…
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Popular Features
- Concurrency (21)9.999%
- Performance (21)9.898%
- Security (21)9.898%
- Availability (21)8.181%
Reviewer Pros & Cons
Pricing
Standard
$1
Cloud
per month per GB of storage above the included 20 GB
Standard
$75
Cloud
per month 100 reads/second ; 50 writes/second ; 5 global queries/second
Lite
Free
Cloud
20 reads/second ; 10 writes/second ; 5 global queries / second ; 1 GB of storage capacity
Entry-level set up fee?
- No setup fee
For the latest information on pricing, visithttps://www.ibm.com/cloud/cloudant/pric…
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Features
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Product Details
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- Competitors
- Tech Details
- FAQs
What is IBM Cloudant?
IBM Cloudant is a distributed database that is optimized for handling heavy workloads that are typical of large, fast-growing web and mobile apps. Available as an SLA-backed, fully managed IBM Cloud service, Cloudant elastically scales throughput and storage independently. Cloudant is also available as a downloadable on-premises installation, and its API and replication protocol are compatible with an open source ecosystem that includes CouchDB, PouchDB and libraries for the most popular web and mobile development stacks.
IBM Cloudant Features
NoSQL Databases Features
- Supported: Performance
- Supported: Availability
- Supported: Concurrency
- Supported: Security
- Supported: Scalability
- Supported: Data model flexibility
- Supported: Deployment model flexibility
IBM Cloudant Video
database management with Cloudant
IBM Cloudant Competitors
IBM Cloudant Technical Details
| Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Unspecified |
| Mobile Application | No |
| Supported Languages | English, French, German, Italian, Japanese, Korean, Portuguese/Brazil, Spanish, Chinese Simplified, Chinese Traditional |
Frequently Asked Questions
Cloudant is an open source non-relational, distributed database service that requires zero-configuration. It's based on the Apache-backed CouchDB project and the creator of the open source BigCouch project.
Cloudant's service provides integrated data management, search, and analytics engine designed for web applications. Cloudant scales your database on the CouchDB framework and provides hosting, administrative tools, analytics and commercial support for CouchDB and BigCouch.
Cloudant is often considered part of a new generation of 'NoSQL' databases that don't require fixed table schemas and is challenging the dominance of traditional relational databases (including the popular MySQL).
Reviewers rate Concurrency and Data model flexibility highest, with a score of 9.9.
The most common users of IBM Cloudant are from Enterprises (1,001+ employees).
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Reviews and Ratings
(123)Attribute Ratings
Reviews
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August 29, 2019
Best for mobile
Cloudant is the database for all our mobile applications with offline-first architecture, and it's the best option to keep everything synced and secure.
This is the best way to use CouchDB, because Cloudant adds the authorization layer required for a real live app, and also the infinite capacity with the flexibility to grow from $0 to whatever is required according to the amount of users you need to support.
Also, we have now using Cloudant as the main database for data capture apps and the source for all our catalogs in order to free resources from our rdbms system.
Finally, considering CouchDB is part of Bluemix, you will have the chance to grow, adding on more services for your app.
This is the best way to use CouchDB, because Cloudant adds the authorization layer required for a real live app, and also the infinite capacity with the flexibility to grow from $0 to whatever is required according to the amount of users you need to support.
Also, we have now using Cloudant as the main database for data capture apps and the source for all our catalogs in order to free resources from our rdbms system.
Finally, considering CouchDB is part of Bluemix, you will have the chance to grow, adding on more services for your app.
- Authentication improved with the API keys
- Synchronization with https, which means secure and trustable syncs
- Scale in a transparent way
- Free start with the $50 allowance makes Cloudant the best way to start
- It would be nice to have a way to import bulk data
- There must be a better way to check usage. There are a lot of transactions not shown in the actual report
- There must be a way to reset a db -- a way to set the actual data as the base and eliminate all deleted docs
- Positive: you can start your app at 0$ cost. After that, you can combine Cloud data with local Couchdb servers for heavy operations as export to RDBMS
- Negative: moving from lite to standard pricing plan requires to restart your app
- CouchDB and Couchbase Server
Cloudant is a hosted solution so it works better for me. Also, it includes a better authentication layer than CouchDB.
As for Couchbase, it has membase but the hosted options are much more expensive.
In the SQL world, I tried several sync solutions but the configuration and flow is not as smooth as the built-in capability in Cloudant.
As for Couchbase, it has membase but the hosted options are much more expensive.
In the SQL world, I tried several sync solutions but the configuration and flow is not as smooth as the built-in capability in Cloudant.
50
this is a way to say that almost everybody use Cloudant in some way inside the organization.
Direct use is just for developers, who integrate their services in our applications that most of the time are combined with Couchdb/PouchDb on the edge in order to control the cloud usage and gain Offline first in our apps.
Indirect use, are all of our internal users because they use an app with cloudant services inside
Direct use is just for developers, who integrate their services in our applications that most of the time are combined with Couchdb/PouchDb on the edge in order to control the cloud usage and gain Offline first in our apps.
Indirect use, are all of our internal users because they use an app with cloudant services inside
2
In order to support Cloudant, we have people with HTTP protocol understanding, JavaScript and NodeJS. They work with the network team in order to check firewall rules that is the most common problem that we face.
NodeJS because they need to understand and modify the scripts to load info to Cloudant. And finally javascript just to maintain views
NodeJS because they need to understand and modify the scripts to load info to Cloudant. And finally javascript just to maintain views
- Catalog server. All "combos" and list in apps are calling data from a Cloudant/PouchDb
- Data capture database. Apps for data input, use Cloudant/Pouchdb as the first storage server
- data segmentation. Some apps access only to the data they need
- Data Capture, because Cloudant write operations are faster. After that, we use the /changes feed to get the info back to our RDBMS
- As a Cache, kind of distributed redis service in order to free up resources in our main rdbms server
- we combine Cloudant and couchdb/pouchdb in order to minimize the use of cloud services, mainly for /changes feed access
- Cloudant partitioned will allow us to consolidate several Dbs in one
- search indexes is something we are evaluating
- Implemented in-house
Yes
phase 0: data modeling, using the db as a key-value repository
phase 1: synchronization scripts, configuring how to transfer data to the client
phase 2: secondary indexes, setting new ways to query the data using map/reduce mechanism
phase 3: cloudant query, ease complicated queries using this kind of indexes
phase 1: synchronization scripts, configuring how to transfer data to the client
phase 2: secondary indexes, setting new ways to query the data using map/reduce mechanism
phase 3: cloudant query, ease complicated queries using this kind of indexes
Change management was a minor issue with the implementation
Git is a critical component on your development when using NoSQL because data structure and rules are no longer in your server. The best way is to declare a global library to handle data objects across all your apps and reuse them to save time and ensure data rules
- Data rules must be well coordinated between several components to avoid data inconsistency
- Synchronization rules must be tested "out" because there is nothing like a sandbox
- Online training
- Self-taught
Yes, Cloudant is easy to understand without trainning. This is the suggested approach to start. The formal trainning will give you the order how to proceed with your project. Anyway, consider not just the formal education. There are a lot of projects and examples how to use Cloudant not just in lab environments that you can use as is and then modify to your needs.
- replication
- data browsing
- query via http interfase
- security settings on database
- filtered replication rules
- data events rules
No