Azure Front Door is a cloud content delivery network (CDN) service that helps users deliver high performance, scalability, and a secure user experiences for content and applications. It includes a customizable rules engine for advanced routing capabilities. It boasts instant scalability with global HTTP load balancing and failover.
$35
per month
MongoDB
Score8.8 out of 10
N/A
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
Pricing
Azure Front Door
MongoDB
Editions & Modules
Standard
$35
per month
Premium
$330
per month
Shared
$0
per month
Serverless
$0.10million reads
million reads
Dedicated
$57
per month
Offerings
Pricing Offerings
Azure Front Door
MongoDB
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
Base fees (Billed hourly and only for number of hours used)
Fully managed, global cloud database on AWS, Azure, and GCP
Azure Front Door is very easy and fast to set up and implement, if you are looking for an easy solution that is secure and reliable, Front Door does all that and can be configured in a few hours. AFD is a CDN with WAF, accordingly, it is well suited for any CDN Scenario, other providers such as Akamai or Verizon have a more expensive base price and are harder to manage/configure, Front Door is simple, easy, and provides what's needed when it comes to Web App Security. If you have multiple data centers, have apps in different regions, or targeting a global audience, AFD is an excellent option to get up to speed quickly. If you are looking for more features and capabilities, or planning a very complex setup, Front Door might be sufficient, but other specialized provides such as Imperva, Cloudflare or Akamai are generally a bit more advanced (but harder to set up and maintain). It always depends on the scenario, but for us, Front Door was an excellent option and served us very well with no issues.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
It's generally hard to compare CDNs, each has its features, POP locations, latency, and availability. We have used many other CDNs, including Akamai, Verizon, and Cloudflare. They are all great, but each has its own advantages/disadvantages. From our perspective, all other providers were much harder to configure and maintain and their overall cost was higher than AFD. For example, Verizon was great, performance was excellent, but reporting/logging was not up to our expectations, and we had many issues with its Rules Engine. AFD is great for delivering your web apps globally quickly and easily, the cost is reasonable and comes with very little operational overhead, the logging and reporting capabilities are very good, additionally, its integration with Azure Cloud Services gives it an advantage over other competitors.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
AFD implementation was approx. 80% cheaper than other providers, from initiation to operation.
It allowed us to minimize backend resources size/processing power, taking all the load from client requests, cutting tens of thousands of dollars monthly on compute, memory, and network bandwidth.
Overall, the ROI of AFD is very quick, it is not an expensive solution, therefore, its ROI goals are easy to calculate and achieve, our overall ROI exceeded 300%.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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
