Broadcom Automic Automation (formerly the CA Automic Business Automation Platform)is a workload automation and release / deployment management offering supported by Broadcom, which provides an open, scalable and unified approach to driving automation across, enableing the user to reduce time-to-value and increase business agility by using automation as the backbone of digital transformation.
N/A
IBM Cloudant
Score 7.4 out of 10
N/A
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…
$1
per month per GB of storage above the included 20 GB
Pricing
Broadcom Automic Automation
IBM Cloudant
Editions & Modules
No answers on this topic
Standard
$1
per month per GB of storage above the included 20 GB
Standard
$75
per month 100 reads/second ; 50 writes/second ; 5 global queries/second
Lite
Free
20 reads/second ; 10 writes/second ; 5 global queries / second ; 1 GB of storage capacity
Standard
Included
per month 20 GB of storage
Offerings
Pricing Offerings
Broadcom Automic Automation
IBM Cloudant
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Broadcom Automic Automation
IBM Cloudant
Features
Broadcom Automic Automation
IBM Cloudant
Workload Automation
Comparison of Workload Automation features of Product A and Product B
Broadcom Automic Automation
8.3
4 Ratings
0% above category average
IBM Cloudant
-
Ratings
Multi-platform scheduling
9.14 Ratings
00 Ratings
Central monitoring
8.24 Ratings
00 Ratings
Logging
8.24 Ratings
00 Ratings
Alerts and notifications
8.24 Ratings
00 Ratings
Analysis and visualization
8.24 Ratings
00 Ratings
Application integration
8.24 Ratings
00 Ratings
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
This product has huge capacity to run millions of jobs per month, can serve to enterprise level of business. If client is looking for platform base solution which can be deployed on-prem or cloud base technologies then this solution works well. It has very good licensing mechanism which is based on number of agents, and there is no limitation of number of jobs run. So client has not to worry on limitation of jobs and can scale of the automation in the environment. This reduced the total cost of ownership of product. Self service automation feature can reduce the client automation cost significantly. it has good batch job coverages from Mainframe to Microservices.
Our organization found Cloudant most suitable if One, a fixed pricing structure would make the most sense, for example in a situation where the project Cloudant is being used in makes its revenue in procurement or fixed retainer — thus the predictability of costs is paramount; Two, where you need to frequently edit the data and/or share access to the query engine to non-engineers — this is where the GUI shines.
the flexibility of NoSQL allow us to modify and upgrade our apps very fast and in a convenient way. Having the solution hosted by IBM is also giving us the chance to focus on features and the improvement of our apps. It's one thing less to be worried about
It's mostly just a straight forward API to a data store. I knock one off for the full text search thing, but I don't need it much anyways. Also, the dashboard UI they give is pretty nice to use. It provides syntax-highlighting for writing views and queries are easy to test. I wish other DBs had a UI like this.
it is a highly available solution in the IBM cloud portfolio and hence we have never had any issues with the data base being available - we also do continuous replication to be on the safer side just in case some thing goes awry. We also perform twice a year disaster recovery tests.
very easy to get started and is very developer friendly given that it uses couchDB analytics. It is a cloud based solution and hence there is no hardware investment in a server and staging the server to get started and the associated delays/bureaucracy involved to get started. Good documentation is also available.
online resources are good enough to understand but there is nothing like testing. In our case, we discovered some not documented behavior that we take in count now. Also, the experience in NodeJs is critical. Also, take in count that most of the "good practices" with cloudant are not in online courses but in blogs and pages from independent developers
1. Cost was the major factor without compromising the automation service which this product delivered. Other products are expensive and deliver the same outcome. 2. Limitation of job run, Broadcom Automic Automation allows to run unlimited jobs and helps to increase automation capability. 3. Number of automation packs available with no extra license cost. 4. Depth of coverage of technologies for batch job automation. 5. Required less number of hardware to achieve high availability.
The feature-set, including security, is very comparable. Overall, IBM's services added to the product are mature and stable, although product support and engineers could be a little better. Global availability is improving, and Disaster Recover Capabilities are great. Overall, it's very comparable to MongoDB as a DBaaS offer, available globally and with great documentation.
The service scales incredibly well. As you would expect from CloudDB and IBM combination. The only reason I wouldn't score it a 10 is the fact that document trees can get nested and nested very quickly if you are attempting to do very complex datasets. Which makes your code that much more complex to deal. Its very possible we could find a solution to this problem with better database planning to begin with, but one of the reasons we chose a service over a self-hosted solution was so we could set it up quick and forget about it. So we weren't going to dedicate a team to architecture optimization.