IBM FileNet Content Manager is a cloud-native content services solution to manage, share and collaborate on content to save employees’ time and improve customer experiences. This ECM solution includes functionality for document management, business process management, case management, content analytics, imaging, records management, and information governance. The IBM FileNet Content Manager content management solution provides the foundation for IBM Cloud Pak® for Business Automation. It uses AI…
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MongoDB
Score 8.8 out of 10
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MongoDB is an open source document-oriented database system. It is part of the NoSQL family of database systems. Instead of storing data in tables as is done in a "classical" relational database, MongoDB stores structured data as JSON-like documents with dynamic schemas (MongoDB calls the format BSON), making the integration of data in certain types of applications easier and faster.
$0.10
million reads
Pricing
IBM FileNet Content Manager
MongoDB
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Shared
$0
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Serverless
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$57
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IBM FileNet Content Manager
MongoDB
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No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
Yes
No
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No setup fee
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Fully managed, global cloud database on AWS, Azure, and GCP
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Community Pulse
IBM FileNet Content Manager
MongoDB
Considered Both Products
IBM FileNet Content Manager
Verified User
Engineer
Chose IBM FileNet Content Manager
This is simpler and easier way to use and has simplistic UI to work with sophisticated solutions.
Well Suited Scenarios: Regulatory Compliance: IBM FileNet Content Manager is ideal for industries with strict regulatory requirements, such as healthcare and finance. It helps organizations securely manage and retain documents, ensuring compliance with data retention policies. Enterprise Document Management: Large organizations that deal with extensive document volumes benefit from FileNet's document capture, indexing, and search capabilities. It simplifies document management across departments. Less Appropriate Scenarios: Small Businesses: For small businesses with limited document management needs, FileNet may be overly complex and expensive. Simpler, more cost-effective solutions may be a better fit.Simple Document Storage: Organizations primarily seeking basic cloud-based document storage without extensive workflow automation or compliance requirements might find FileNet's capabilities excessive for their needs.
If asked by a colleague I would highly recommend MongoDB. MongoDB provides incredible flexibility and is quick and easy to set up. It also provides extensive documentation which is very useful for someone new to the tool. Though I've used it for years and still referenced the docs often. From my experience and the use cases I've worked on, I'd suggest using it anywhere that needs a fast, efficient storage space for non-relational data. If a relational database is needed then another tool would be more apt.
Being a JSON language optimizes the response time of a query, you can directly build a query logic from the same service
You can install a local, database-based environment rather than the non-relational real-time bases such a firebase does not allow, the local environment is paramount since you can work without relying on the internet.
Forming collections in Mango is relatively simple, you do not need to know of query to work with it, since it has a simple graphic environment that allows you to manage databases for those who are not experts in console management.
IBM FileNet Content Manager's interface is complex and difficult to navigate for some users. IBM should consider improving the user interface to make it more easier and intuitive.
IBM FileNet Content Manager may be difficult to integrate with other applications and systems. IBM should consider improving its integration capabilities to ease connectivity with other systems.
The wide range of customization make it challenging for users to configure the software to find find their specific needs. IBM should simplify the customization process to make it easier for users.
An aggregate pipeline can be a bit overwhelming as a newcomer.
There's still no real concept of joins with references/foreign keys, although the aggregate framework has a feature that is close.
Database management/dev ops can still be time-consuming if rolling your own deployments. (Thankfully there are plenty of providers like Compose or even MongoDB's own Atlas that helps take care of the nitty-gritty.
I am looking forward to increasing our SaaS subscriptions such that I get to experience global replica sets, working in reads from secondaries, and what not. Can't wait to be able to exploit some of the power that the "Big Boys" use MongoDB for.
NoSQL database systems such as MongoDB lack graphical interfaces by default and therefore to improve usability it is necessary to install third-party applications to see more visually the schemas and stored documents. In addition, these tools also allow us to visualize the commands to be executed for each operation.
It's a great tool for our legacy system however the implementation, management time and lack of a niche provided by IBM makes it a difficult tool to recommend in a fast-paced market.
Finding support from local companies can be difficult. There were times when the local company could not find a solution and we reached a solution by getting support globally. If a good local company is found, it will overcome all your problems with its global support.
While the setup and configuration of MongoDB is pretty straight forward, having a vendor that performs automatic backups and scales the cluster automatically is very convenient. If you do not have a system administrator or DBA familiar with MongoDB on hand, it's a very good idea to use a 3rd party vendor that specializes in MongoDB hosting. The value is very well worth it over hosting it yourself since the cost is often reasonable among providers.
IBM FileNet Content Manager is a much superior product compared to anything in the market, IBM AI is really great and the ability to automate is really awesome. We also use other IBM products such as RPA and it integrates seamlessly. Compliance is really the USP of IBM FileNet Content Manager
We have [measured] the speed in reading/write operations in high load and finally select the winner = MongoDBWe have [not] too much data but in case there will be 10 [times] more we need Cassandra. Cassandra's storage engine provides constant-time writes no matter how big your data set grows. For analytics, MongoDB provides a custom map/reduce implementation; Cassandra provides native Hadoop support.
Open Source w/ reasonable support costs have a direct, positive impact on the ROI (we moved away from large, monolithic, locked in licensing models)
You do have to balance the necessary level of HA & DR with the number of servers required to scale up and scale out. Servers cost money - so DR & HR doesn't come for free (even though it's built into the architecture of MongoDB
