MongoDB vs. Pega Platform

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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Pega Platform has introduced the low code feature, using app studio seasonal and professional developer can develop application easily and quickly. The initial application can be build by Business analyst and product owner who has less knowledge of Pega Platform, further application can be enhanced/extended by professional developer. We can develop end to end application and promote to higher environment. Easily we can perform parallel development using branch.

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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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• Quick development time. Much of the Pega "rules" are easy to configure and implement.
• Visually friendly and modern. Much of the UI/UX elements in the system are continuously supported and updated, giving a nice feel to the apps.
• Many of the configurations and rules Pega gives to the developers can also be delegated to business users. The organization and structure of the client's business can easily be adapted in the Pega platform.

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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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• Need more learning materials. For Beginners who have previous programming experience with another language takes more time to learn.
• If the developer is met with an issue in pega platform , they have to rely on Pega supporting team to fix it.
• Customization is available but is not encouraged. Pega does not support faults that occur in customized solutions.

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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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Pegasystems has continued to demonstrate a strong partnership with our organization and investment in their product that aligns with our overall vision and need. Pegasystems has engaged us at every level, with the assistance of minor defects to the overall roadmap planning and alignment of our goals

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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Pega Platform is enhancing its product and launching new features day by day which help to achieve customers needs. If I talk about the earlier version of Pega Platform (i.e. pega v5 and 6.3) there were many numbers of limitations in Pega Platform and if we need to do some customization then needed to write custom java and jave scripts to achieve the functionally. Now I can say Pega Platform is running with market trends and demand. Pega Platform is giving all the options which support the current technologies like decisioning capabilities, real time processing, mashup, process fabrics etc..

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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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It’s very slow sometimes, but that may be our servers. Also the Knowledge Library needs some work - again, not sure if it’s our setup or what- but I’m unable to search the body of an article for content, so I have to be very intentional with tagging, but it’s not ideal.

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The online training is an excellent one, but still it is missing hands on development.

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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Implementation is totally depend up on the requirement

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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.

We did evaluate multiple products offerings with Pega Platform capabilities and observed that Pega PRPC rules engine and case management capabilities are better over so many BPM Tools. We also conducted a detailed study with developers to identify the best products out of Suite of BPM products. It's observed that Rules engines integration is very streamlined with forms in Pega whereas other tools multiple have powerful data model capabilities but lacks the ease of creating business rules.

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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

• For one of the applications we worked on, we were able to reduce the processing time on a case from 2 days to 20 minutes by utilizing Pega
• We were able to resolve the issue of the routing of cases to users based on a specific algorithm by use of Pega
• Pega case management feature was extensively used in one of the application to establish a parent-child relationship which was very helpful for all the business users

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