Apache HTTP Server vs. MongoDB

As I mentioned earlier, the Apache HTTP Server has a small disadvantage compared to the competition (NGINX) in terms of performance. If you run websites that really have a lot of visitors, NGINX might be the better alternative.

On the other hand, the Apache HTTP Server is open source and free. Further functionalities can be activated via modules. The documentation is really excellent.

Incentivized

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.

Incentivized

• Street Cred: Apache Web Server is the Founder for all of Apache Foundation's other projects. Without the Web Server, Apache Foundation would look very different. That being said, they have done a good job of maintaining the code base, and keeping a lot of what makes Apache so special
• Stability: Apache is rock-solid. While no software is perfect, Apache can parse your web sources quickly and cleanly.
• Flexibility: Need to startup your own Webpage? Done. Wordpress? Yup. REST Endpoint? Check. Honeypot? Absolutely.

Incentivized

• 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.

Incentivized

• The default configurations which comes with Apache server needs to get optimized for performance and security with every new installation as these defaults are not recommended to push on the production environment directly.
• Security options and advanced configurations are not easy to set up and require an additional level of expertise.
• Admin frontend GUI could be improved to a great extent to match with other enterprise tools available to serve similar requirements.

Incentivized

• 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.

Incentivized

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.

Incentivized

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.

Incentivized

I give this rating because there is so much Apache documentation and information on the web that you can literally do anything. This has to do with the fact that there is a huge Open Source community that is beyond mature and perhaps one of the most helpful to be found. The only thing that should hold anyone back from anything is that they can not read. RTFM, my friend. And I must say that the manual is excellent.

Incentivized

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.

Incentivized

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.

Incentivized

I has a lot more features, except that IIS is more integrated in a Windows environment. But now with .net core also possible from Apache it would work anywhere really. Only in a full Windows environment where full integration is needed I would chose to go for IIS. Otherwise Apache it is.

Incentivized

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.

• Works as intended, so it's less to worry about.
• Works great on elastic environments (like EC2).
• As an Open Source project, you can get support for almost any problem you can have.
• Configuration files, while powerful, can be tricky to dominate for some.

Incentivized

• 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