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.
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OCI
Score 8.9 out of 10
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Oracle Cloud Infrastructure (OCI) is Oracles's infrastructure-as-a-service (IaaS) platform which combines the utility of public cloud with the granular control, security, and predictability of on-premises infrastructure.
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Pricing
MongoDB
Oracle Cloud Infrastructure
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Shared
$0
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Serverless
$0.10million reads
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Dedicated
$57
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MongoDB
OCI
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Yes
Yes
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Yes
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No
Entry-level Setup Fee
No setup fee
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Fully managed, global cloud database on AWS, Azure, and GCP
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Community Pulse
MongoDB
Oracle Cloud Infrastructure
Features
MongoDB
Oracle Cloud Infrastructure
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
MongoDB
10.0
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12% above category average
Oracle Cloud Infrastructure
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Performance
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Infrastructure-as-a-Service (IaaS)
Comparison of Infrastructure-as-a-Service (IaaS) features of Product A and Product B
MongoDB [is] great at storing JSON data grouped into "collections". In this format, you can store any JSON documents and conveniently categorize them by collections. The JSON document contained in MongoDB is called binary JSON or BSON and, like any other document in this format, is unstructured. Therefore, unlike traditional DBMS, any kind of data can be stored in collections, and this flexibility is combined with the horizontal scalability of the database. It should be noted that MongoDB does not have links between documents and “collections” (this is partially compensated by the Database Reference - links in the DBMS, but this does not completely solve the problem). As a result, a situation arises in which there is a certain set of data that is not related to other information in the database, and there is no way to combine data from different documents. In SQL systems, this would be an elementary task.
Oracle Cloud Infrastructure (OCI) is a great fit when you need High-performance infrastructure for mission-critical apps that require low latency and high availability. Scalable compute services for big data analytics workloads that process massive datasets. Support for DevOps teams looking to streamline their development and deployment pipelines. But it might not be the best choice for Small-scale or low-traffic applications where you can find cheaper options elsewhere. Legacy workloads running on older tech like Oracle Solaris or Windows Server, where OCI's support may be limited.
Easy to learn. When I picked up MongoDB for the first time, I had little background in database management or modeling. If you have a background in javascript (and JSON)... then you can figure out how to use MongoDB pretty fast.
Fast performance.
It's relatively easy to set up in certain environments because there are lots of ready-made solutions out there.
There's a lot of support in the existing ecosystem for it —, especially in the node.js realm.
Query syntax is pretty simple to grasp and utilize.
Aggregate functions are powerful.
Scaling options.
Documentation is quite good and versioned for each release.
Block Volume provides durability and stability to data. IOPS can be changed on the fly. Always stay true to the promised performance.
Block Volume can be encrypted with ease to meet compliance. Can also be easily integrated with OCI vault service for extra security.
Object Storage and File Storage are other forms of storage that are secure and extremely easy to configure. FSS is one of the best in the industry when it comes to reliability and performance.
SSD block volumes are persistent in OCI unlike many other clouds.
Navigating the UI takes lots of getting used to. It reminds me of older GCP (just to get used to where everything is).
Permission for different things always seemed to be more difficult than it really needed to be. Once you got them set up you were good but updating anything or creating new permissions for just about anything took longer than I thought it should.
Based on how the buttons were laid out, it was pretty easy to delete all of your DNS records, and backing them up was not as intuitive as I'd like with the UI, but it was easy to do using a script.
MongoDB is one of the most famous non-relational databases in the world, there are famous active projects that use this database. I think that the same company that develops the database gives you the online induction totally free is something that really is very positive. Accounts with a first-class support to be able to relate the correct implementation of the database, in addition to teaching you the best practices to optimize your projects, I believe that with this decision it is more than obvious which is the best decision at the time of seeing with which database to work.
We have been using this product for the last 6 years, and we keep renewing it yearly as we have no issues with this cloud provider. Maybe till we have our products, we will use this cloud and will be renewing it.
It is one of the reasons why we prefer it to store documents in a JSON-style format, to access the desired document very quickly regardless of its size, to be readable by human eyes, and to be easily scalable and manageable.
The services & products in Oracle Cloud Infrastructure needs more improvement to beat other Cloud service providers. The price is good & Security processes are good. We are requiring to put more effort in supporting this Oracle Cloud Infrastructure than other Cloud service providers. Probably better ways are there but is not super easy to find or not super available
Yeah sometimes we had to face unplanned outages due to underlying infrastructure issues, so not every time,e but once in a while we face issues with availability. But the good thing is we have redundancy with DR setup and multi region so we can manage.
Oracle Cloud Infrastructure performance is good in terms of querying large datasets, and is also consistent. It integrates well with other third party applications, and doesn't noticeably seem to slow down. Complex analytical queries and reports are processed efficiently even with larger datasets. Auto-scaling has been useful for traffic handling as this is a major challenge for any application.
I have reached multiple times to the MongoDB community for the help and they have provided each and easy solution for every problem. Over the internet and on stack overflow many people responds over the challenges. Now this tool is very much used in every company and projects so internally many people are there to give a support.
Overall it is amazing, there is always room for improvement. We have weekly updates that tend to slow the program used more and more. We had to change some reports within Oracle because the others wouldn’t load. This is tied to our payroll and the delays are causing many time constraint issues and panic. We have to create a new report when one breaks. Otherwise awesome!
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.
The environment I work in is somewhat unique in that we use both MySQL and MongoDB. However, each is used for specific purposes that the other is not well suited for. MongoDB is not a relational database like MySQL, so it serves as the perfect place to dump key bits of data for quick retrieval later. This is something we can't easily do with MySQL. On this smaller database, MongoDB also lets us retrieve data more quickly with its fast and efficient querying.
Performance and latency are excellent in Oracle Cloud Infrastructure. Except for AWS baremetal, I don't find anything like that. I found that, aside from conventional compute that works really good, they also offer HPC VDI. That's one of the strengths that should have more hype in OC advertising. After my tests, that were limited by the trial, I'm a net promoter of the service. I really miss the depth of my RDP connections and response times.
We have hosted around 500 + customers on this cloud so till day not faced any major issues, so we can use it for any kind of products and it can hold the load and easily scale based on need.
We can make more open and flexible systems due to its easy adaptation to new evolutions in web applications.
In the latest versions it offers support for different transactions and we could carry out real tests related to the concurrency of the application.
MongoDB allows you to have distributed clusters, which improves the speed of the queries by reducing the latency that exists between the database cluster and the service that executes the query.
