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
Postman
Score 8.8 out of 10
N/A
Postman, headquartered in San Francisco, offers their flagship API development and management free to small teams and independent developers. Higher tiers (Postman Pro and Postman Enterprise) support API management, as well as team collaboration, extended support and other advanced features.
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Pricing
MongoDB
Postman
Editions & Modules
Shared
$0
per month
Serverless
$0.10million reads
million reads
Dedicated
$57
per month
Postman Free Plan
$0.00 US Dollars
Postman Basic Plan
$12 US Dollars
per month per user
Postman Professional Plan
$29 US Dollars
per month per user
Postman Enterprise Plan
$99 US Dollars
per month per user
Offerings
Pricing Offerings
MongoDB
Postman
Free Trial
Yes
No
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
Fully managed, global cloud database on AWS, Azure, and GCP
1. Postman Free plan: Start designing, developing, and testing APIs at no cost for teams of up to three people.
2. Postman Basic plan: Collaborate with your team to design, develop, and test APIs faster; $12/month per user, billed annually
3. Postman Professional plan: Centrally manage the entire API workflow; $29/month per user, billed annually
4. Postman Enterprise plan: Securely manage, organize, and accelerate API-first development at scale; $99/month per user, billed annually
More Pricing Information
Community Pulse
MongoDB
Postman
Considered Both Products
MongoDB
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Postman
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Engineer
Chose Postman
I have used curl command which pretty much does the same in an unordered fashion. Postman has organization to it, with an ability to store commands in a fashion where it just becomes easy to use it.
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.
Postman is good for organising your API credentials, vendor settings, environments etc. It's also a good way of getting stared with APIs as you get to use a GUI which can help you understand what we mean by a 'body' or 'bearer token'. I think people generally gravitate towards GUI tools for getting started in a new technology area.
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.
It has opened a door for me to explore more out of it, as it is associated with so many APIs that I never felt any difficulty in finding the right API template, which are well organized and easily available.
It is very secure to use and provides great services which are user-friendly.
Due to this software I have got rid of the excessive emails and the slack channels, Now I am using my own private API and even it give me an option to produce my personal Postman’s API Builder from its Private API Network and this features has shared my excessive workload.
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.
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.
1. Friendly user friendly - when I started using Postman, I was a beginner to the API world, and it gave me a friendly view to begin its usage 2. Postman offers many features, including API testing, monitoring, documentation, and mock servers 3. Environment variables simplify testing across multiple environments (dev, prod) without repetitive configuration.
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.
There is a lot of in-depth documentation for Postman available online, including detailed guides with screenshots and videos. They provide example APIs for new users to explore while learning how to use the tool. Generally, bugs in the client are quickly addressed through frequent free updates. Community and professional support options are available - most of the time, the free/community level support is adequate
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.
Previous to using Postman, I would either use browser tools directly, or write an in-house tool to send requests. Postman eliminates that need while providing a much better experience and more features. At the base level, Postman is as simple as typing in the address as you would in a browser. Authentication can be provided simply as well.
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
Postman is free (although there's a paid tier that offers more features) so using it for testing APIs comes with little to no risk (besides learning curve).
The learning curve is a little steep for non-developer users, but developers should find it easy to pick up and use right out of the box, so to speak.