ControlUp vs. MongoDB

An environment where visibility of general performance metrics isn't currently done or is done with a system that is difficult to use (which was our case). An environment where resource allocation decisions need to be made (e.g. how much RAM and CPU to allocate to VM pools). An environment where a troubleshooting tool is needed (e.g. to answer the question, "Why is this person experiencing poor performance right now?")

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 triggers are very flexible and can be configured to alert on things from events in sessions to hardware failures. Script actions are what they sound like. They are scripts that can be created and run on demand or tied to a trigger. One example is that if a hard drive is low on space we have a script to clean up certain things on the drive.
• Script actions are supported by the ControlUp community. Community members can submit scripts that are reviewed by ControlUp and approved. This means more script are added over time.
• ControlUp support and sales support has been great. Our sales engineer is always willing to jump on and help us with configuration issues and standard support is quick to respond and are good at resolving issues.

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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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• It seems that there is a gradual transition occurring from one interface (a local program) to another (Web). This creates confusion at times.
• ScoutBees module has a problem with our version of Horizon, so we can't do a login test
• The local program for ControlUp uses a lot of resources
• The training session focus on very large environments, which we aren't. Might be good to offer SMB sessions separately.

• 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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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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I feel all these products are good and have their strengths but for me it came down to two categories. How easy is it to find issues and cost. It seemed to me that the easiest to use is ControlUp and eG. Price broke down to ControlUp and SysTrack being lower than Goliath and eG.

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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.

• its licensing cost is a bit on high

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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