MongoDB vs. Pabbly

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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• It is great for companies or people that are using software that is mainstream and would like to extend the capability of that software with added features.
• Also great for companies that use more than 1 software and need to have them interact with each other to make them more efficient
• Great for companies that need to automate functions that are repetitive throughout the organization

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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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• Connect software applications that are not already integrated or connected
• Automate processes within a single software
• Transform data and then using that data across different software applications

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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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• The trigger action needs improvement
• The method of connecting different software also needs to be simplified
• The actions for some software applications need to have more capability (things that can be done between different software)

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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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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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I really enjoy using Pabbly, it is fast, pretty simple, has lot of connections and support has been fairly helpful. I would give it just a higher rating if it came with a faster live chat and more templates for non techies like myself but overall has been reliable, usable with no bugs, and helpful to connect tasks especially any google sheet/doc/form etc task

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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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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.

I think Integrately has a superior UX, it is a little easier and less techy to use, but doesn't have the amount of integrations that Pabbly has. So far, a lot more softwares offer Pabbly connection than Integratly and that is really the deciding factor

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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

• Saved us thousands of dollars in manual labor costs
• Made us more profitable due to automating our marketing effort
• Allowed us to meet with more prospects by reducing our effort
• Made us more intelligent by capturing important information that we were not able to capture

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