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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Sequel Pro
Score 9.4 out of 10
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Sequel Pro is a relational database software solution offered free and open source. It allows users to access any MySQL database through a Mac.
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MongoDB
Sequel Pro
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$57
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MongoDB
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Fully managed, global cloud database on AWS, Azure, and GCP
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MongoDB
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Features
MongoDB
Sequel Pro
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
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.
It's a great tool when building the software, the ability to add SQL and No-SQL databases. Very convenient to write the queries and generate the filtered data we require. Gives the ability to export, import databases of various formats and generate reports from them. It might not be suitable if you want the data to be seen in a visualized manner
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.
It crashes CONSTANTLY. If you have more than one connection tab open and close one of them, it crashes. If you just have it open in the background, it randomly crashes. If you're using it, it randomly crashes. When you try to send a crash report, the CRASH REPORTER CRASHES.
Can be a bit slow.
No way that I'm aware of to query multiple databases in the same query.
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.
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.
It's open-source and very convenient to work with. I can easily import any database I want using a data dump and runt the queries on them to derive the data insights on the data. I might want to use Excel to visualize that, that might be one of the disadvantages.
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.
MySQL Workbench is a wonderful tool, but the routine editing of existing data is note nearly as straightforward as it is in Sequel Pro. The ability to sort a data view with a single click makes Sequel Pro my definite choice. phpMyAdmin is pretty ubiquitous, but the routine editing of existing data is much more cumbersome than it is in Sequel Pro.
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
