MongoDB vs. Teramind

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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Easy to use and to install this great solution and it is very easy to remotely monitor all our employees activities and get reports on what they are doing and what applications are being used and doesn't make users computer slow and that they never notice when they are being monitored.

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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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• User Productivity--Can see in real time how systems and rules management implements effect employees work.
• Activity Trends--You can see what types of programs, trends or content effect users.
• Motivation--Users have access to their productivity dashboards and metrics compared against other users, and it can increase motivation through friendly competition.

• 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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• Sometimes it constantly gets disconnected.
• It creates duplicate each time i try to log on a different device.
• With antivirus in place it may be hard to install because it always flag it as a virus.

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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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For new users, the web admin console is welcoming and easy to use. The configuration and the required settings are easy to understand.

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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They've got live chat support right on their dashboard, which usually responds within minutes.

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.

Teramind is easy simple easy to navigate through with and intuitive and powerful user interface offering dashboard rich features and excellent video and screen recording and being able to hind log out access which makes it the smart monitoring tool than any other products. Teramind can be used from anywhere both in app and web based.

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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

• Its automation block emails containing sensitive information and prevention to use of external drives.
• Powerful rule engine which allows [the] creation of rules and policies to easily address data loss and prevention needs.
• DLP Monitor every action that that a user makes.

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