Intellect QMS vs. MongoDB

This is a great platform for a small but quickly growing organization. It works well out of the box without a lot of bells and whistles but can be configured for specific needs. Migrating "legacy" processes, data and culture requires a lot of up front training but is worth the effort. Customer support is top-notch, and a single administrator can manage multiple applications

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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.

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• The applications are linked to each other so that activities can be shared, collaborated and escalated in one platform.
• Applications are sufficient "out of the box" but can be configured easily with its intuitive Design tools.
• Users can go to their personal dashboard to stay on top of their tasks across multiple applications and monitor status of activities in progress.
• The workflow-based applications keep activities moving forward efficiently but following standard processes.

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• 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.

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• Although the configuration is a "no code" approach, there is a learning curve to effecting design changes.
• The user guide documentation provided is OK for administrators but needs to be more user-friendly for general users.
• Importing "legacy" data from existing processes can be cumbersome.

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• 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.

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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.

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There is always resistance to change, but users are finding Intellect QMS to exceed their expectations as we migrate from our legacy "island" Sharepoint-based processes. Training is actually easiest to do hands-on, and users can learn quickly and then help train others. Users appreciate the personal navigation dashboard and the familiarity of the interface from one application to another. The workflow-driven applications are intuitive and make the system easy to navigate for all levels of users, although the learning curves will vary. The "Design-Test-Live" approach facilitates the implementation of configuration changes suggested by users.

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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.

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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.

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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.

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No comparison with the huge improvement Intellect is compared to the software we were using in the past. Night and Day difference.

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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.

• Users appreciate the time and effort saved by having all of the QMS functions connected and in one place, without having to rely on emails, Sharepoint links multiple modes of communication to keep track of their activities and responsibilities.
• The no-code platform means we don't need IT support to maintain and configure the applications. One administrator was able to get the system launched and effective in just several weeks, with ongoing training and customization as users and applications are added.
• Our organization was recently certified to ISO 9001:2015. Intellect QMS helped us to navigate internal and audits confidently and effectively.

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• 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