MongoDB vs. VisualCron

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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VisualCron does accommodate continuous file processing. Like packing and unpacking compressed files, splitting or merging files, sending E-mail's and executing queries on databases. VisualCron in less suitable for performing very complex operations on files like, arithmetic with numbers, dates or amounts. Very complex job scripts become cluttered. Debugging Job scripts is not easy.

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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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• VisualCron can pack and unpack files from many types of packing methods.
• Clear job scripts with complex constructions can be written in VisualCron
• VisualCron provides a clear graphical overview of the situation of all jobs.
• VisualCron clearly indicates when a job has run into an error.

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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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• VisualCron should more specifically indicate the root cause of an error.
• If copying a file goes wrong, VisualCron reports 'can't copy file'. I expect 'no read permissions from original' or 'no write permissions from destination'.
• VisualCron offers no way to execute a Job script line by line
• In VisualCron, nested loops cannot be created.

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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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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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Questions and problems can be addressed to VisualCron 's support department via E-mail. I usually get a good answer from them fairly quickly. There is also a VisualCron forum where you can ask questions that will be answered by other VisualCron users.

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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.

For simple processes, VisualCron is easier to use and maintain. For complicated processes, Quadient Inspire offers more options. The graphical representations of waiting, running or completed jobs is adequate for both products. The logging of job actions is better in Quadient Inpire as in VisualCron.

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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

• With VisualCron, I need 3 times less time to get file processing right.
• If a VisualCron job goes wrong I need twice as much time to find the problem.
• Visualcron does not run on Linux but on Windows which can make an upgrade and reboot take up to 6 times as long.

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