MongoDB is an open source document-oriented database system. It is part of the NoSQL family of database systems. Instead of storing data in tables as is done in a "classical" relational database, MongoDB stores structured data as JSON-like documents with dynamic schemas (MongoDB calls the format BSON), making the integration of data in certain types of applications easier and faster.
$0.10
million reads
NGINX
Score 9.2 out of 10
Mid-Size Companies (51-1,000 employees)
NGINX, a business unit of F5 Networks, powers over 65% of the world's busiest websites and web applications. NGINX started out as an open source web server and reverse proxy, built to be faster and more efficient than Apache. Over the years, NGINX has built a suite of infrastructure software products o tackle some of the biggest challenges in managing high-transaction applications. NGINX offers a suite of products to form the core of what organizations need to create…
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Pricing
MongoDB
NGINX
Editions & Modules
Shared
$0
per month
Serverless
$0.10million reads
million reads
Dedicated
$57
per month
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Offerings
Pricing Offerings
MongoDB
NGINX
Free Trial
Yes
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
Optional
Additional Details
Fully managed, global cloud database on AWS, Azure, and GCP
I selected Nginx because it is easy to learn, use, and maintain. I almost never have to troubleshoot it ever since I deploy it. It just meets my need for a personal learning experience. It works well with PHP and MySQL on Linux. That is why I chose it at first.
Nginx works on basic operating system principles and what I like the most about it is that even after being feature-rich and easily customizable it uses minimum resources.
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.
Nginx is well-suited for any web server scenarios, such as web applications, backend or reverse proxy for both application and HTTP requests, and distribution. It is less appropriate for Windows-based applications that run directly on a Windows Server host. In any case, it is very easy to manage, through separate conf files for each application or site you want to host with it.
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.
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.
Customer support can be strangely condescending, perhaps it's a language issue?
I find it a little weird how the release versions used for Nginx+ aren't the same as for open source version. It can be very confusing to determine the cross-compatibility of modules, etc., because of this.
It seems like some (most?) modules on their own site are ancient and no longer supported, so their documentation in this area needs work.
It's difficult to navigate between nginx.com commercial site and customer support. They need to be integrated together.
I'd love to see more work done on nginx+ monitoring without requiring logging every request. I understand that many statistics can only be derived from logs, but plenty should work without that. Logging is not an option in many environments.
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.
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.
This tool is really easy to use and configure. Consumes very less system resources. It is highly modular and configurable. You can easily use it with other tools like certbot for SSLs. You can configure basic security with configuration and headers
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.
Community support is great, and they've also had a presence at conferences. Overall, there is no shortage of documentation and community support. We're currently using it to serve up some WordPress sites, and configuring NGINX for this purpose is well documented.
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.
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 have found that [NGINX] seems to perform better throughout the years with less issues although I've used Apache more. I would definitely recommend [NGINX] for any high volume site and I've seen this to usually be the case from most provided web hosts who will pick [NGINX] over alternatives
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
By using Nginx, we can host multiple web services on a single server, keeping our infrastructure costs lower.
Nginx maintains our HTTPS connections, allowing us to keep our promise to our customers that their data is safe in transit.
Due to Nginx's extremely low failure rate, our web addresses always return something meaningful, even when individual services go down. In sense, this means we are "always online" and allows us to maintain brand and support our customers even in the face of catastrophe.
