IBM Cloudant Experience
Updated February 22, 2019
IBM Cloudant Experience
Overall Satisfaction with IBM Cloudant
It is being used as a noSQL database across the organization for big data analytics and is used amongst other things for text analytics as it permits unlimited index fields.
- Coudant allows unlimited secondary index fields when compared to others that have certain limitations.
- Cloudant also has the ability to do bi-directional sync for replication and synchronization.
- Cloudant can run on bare metal and virtual machines.
- Cloudant can also be deployed in multi-user or private cloud environments.
- very easy to program and build apps
- Sometimes, there are no slower response times [than] when trying to pull records - I mean that slowness is in terms of milli-seconds :-)
- I wish it has in memory computing capability
- XML is still not supported by this product
We wanted a highly scalable and flexbile (loosely structured) data base that was fast in response and one that could run on bare metal and/or virtual machines. The fact that it is schema-less makes it easy to get staged and started. In addition analytics for the development environment and prouction environment is augmented with the help of couchDB server analytics.
Yes, we have achieved time/agility to deploy and scale up with fast query response times. Also, in order to process multiple concurrent requests, we have done an integration between the master data management solution (MDM) and Cloudant so that Cloudant also acts as a cache for faster response. The biggest benefit was the saving in hardware investment + cost of server build to get this data base up and running.
We have used Cloudant to develop a cross-platform mobile app with html5 that can work both online and offline - it is a very responsive enterprise productivity app used internally. We have integrated Cloudant with master data management solution for concurrent service queries by users including mobile users where by Requests made to MDM and sent to Cloudant Cache for faster processing/updation.
- savings in initial hardware cost as well cost of server build to be ready to load data base
- Cloudant was the first truly cloud based database solution implemented by in our organization and hence lots of effort went in to make it a success so that it can be a role model for cloud adoption in the organization
Cloudant stacks up very well especially since it can perform multiple functions - primarily a noSQL schema-less data base but when integrated with an MDM solution (master data management) it can also do caching services efficiently and can also be used as a graph data base. Initially, when we tested against Cassandra, we found Cloudant faster when compared apples to apples for concurrent requests to the data base.
Using IBM Cloudant
500 - represent marketing, customer service, information technology, human resources, finance, legal
3 - no SQL data base skills, also an understanding of graph data bases, couchDB analytics server will be really helpful
- as a noSQL data base for big data analytics
- As a caching solution
- as a graph data base
- integration with master data management solution (MDM) so that Cloudant can act as a cache for a faster response to multiple requests made to the data base at the same time
- fully leverage the graph database capability of Cloudant
IBM Cloudant Implementation
Change management was minimal - when all stakeholders are bought into an implementation, it is much easier/faster to implement.
- Ability to load data quickly