MongoDB Erfahrungen

Agrxis Review on MongoDB

Kommentare: My time using MongoDB has been excellent. MongoDB has become my go-to database choice because I work with data a lot. I have been able to handle a variety of rapidly changing data requirements with ease thanks to its flexibility and scalability. I like the document-based paradigm since it fits my data's dynamic nature nicely. I've been able to swiftly adapt and iterate thanks to the ability to store and query data in a schema-less manner. It has never been easier to obtain and analyze data effectively because to MongoDB's robust query language and indexing capabilities. My development process has been sped up by the easy connection with well-known programming languages and frameworks, allowing me to concentrate on creating strong and feature-rich applications. Along the road, any problems I met into were also greatly helped by the active community and thorough documentation. As a result, MongoDB has significantly changed the way I work with data by giving me access to a dependable, scalable, and adaptable database solution that meets all of my requirements.

Vorteile:

MongoDB's unmatched flexibility and scalability are what I liked best about it. MongoDB has changed the game for me as someone who deals with continually evolving data formats and requirements. The document-based architecture enables me to store data in a manner that closely resembles the entities and connections seen in the real world, making it highly intuitive and simple to use. The dynamic schema gives me the flexibility I need to iterate quickly by allowing me to modify and develop my data model without being constrained. MongoDB's extraordinary capacity to scale has proven invaluable in helping me manage increasing data volumes and high-performance applications with ease. With MongoDB, I have the flexibility to scale horizontally with sharding or vertically with replica sets to match my changing demands. Additionally, data retrieval and analysis are now a snap because to the robust query language, numerous indexing options, and aggregation architecture.

Nachteile:

If I had to pick one thing about MongoDB that I disliked the least, it would be the steep learning curve that comes with its sophisticated capabilities and intricate setups. MongoDB is a strong and feature-rich database that offers a variety of capabilities that may take some time and work to completely understand and efficiently use.

A NoSQL Database using MongoDB

Vorteile:

MongoDB is a well-known choice for NoSQL Database and it can be used for free as well. Perfectly suited for a personal project or small project because we don't have to pay anything.

Nachteile:

One thing that I feel annoyed about is the IP whitelist requirement in order to access the Database. Because my IP is dynamic it will be changing the address each time, I access the Database.

Mongo allows you to take off easily, but makes it harder to do more advanced analysis.

Vorteile:

-Easy Setup -Getting simple data in/out is painless & straightforward -Basic analytics are easy, as is managing multi-server clusters

Nachteile:

-Working with complex data is a difficult. -Many original features or design choices were incorrect and slow to be corrected. For example, timezone support is minimal and days/dates/months use a custom numbering rather than ISO. Mongo is only now adding ISO versions of aggregation commands

MongoDB Compass is a good entrypoint to using MongoDB

Kommentare: Generally positive, but if I run into issues, I just fall back to the command line.

Vorteile:

It's a very pretty interface, and it's easy to connect to the Database instances that are available on my workstation. There are lots of wizards and buttons that make it easy to structure queries and get to the data I'm looking for. There's a lot of community docs around the tool.

Nachteile:

It's difficult to execute a console script, or import data if it came from another install. There are some things you'd expect to be able to do, that don't work they advertise them. Deep data objects often cause problems while importing them, and I usu. just get frustrated and get Robo3T and move on.I don't like how they're kind of obfuscating what's going on underneath the query. I wish there were more verbose output on what's happening during execution.

MongoDB, your non-relational buddy

Kommentare: We're using MongoDB to store a lot of our data, excel sheets, csv files, everything that helps and is an important file to the organisation.It is managed by the IT-department though, it does not involve end-users actually using it. The API to work with it is insanely useful, allowing us to make software that connects and saves within the MongoDB environment.

Vorteile:

I think the most impactful thing about MongoDB is the freedom you have when working with a non-relational database, performing at high speeds whenever you need it the most. It's incredibly useful and complete, making it one of the best at what it does.

Nachteile:

I think some features could be improved, like filtering accesibility or some helping-tools for non-technological users, the learning curve is too steep I feel, that you need to support and encourage those users to fill that gap.

MongoDB is definitely cool.

Kommentare: It has been amazing and I'm glad I used MongoDB.

Vorteile:

I fell in love with the ease of use and simplicity of software

Nachteile:

I have no negatives with MongoDB. I just feel a lot more publicity is needed where I come from

Best NoSQL Database !!!!

Kommentare: Overall, I have a great experience with MongoDB.

Vorteile:

It is a NoSQL database where we can store the data in non-tabular form. MongoDB has a very simple Graphical user Interface that's why it is very easy for me to navigate. Also, we can distribute our database across multiple servers to handle large amounts of data and high traffic loads. And MongoDB's flexible schema allows me to easily add or modify fields within documents without having to update the entire schema.

Nachteile:

If your application heavily depends on complex and critical transactions then the MongoDB database may not be a better fit.

Best NoSql database !!!

Kommentare: Overall, MongoDB is the best database and I have a great user experience.

Vorteile:

It is a NoSql database that helps me to store the data in non-tabular form. MongoDB also provides me a MongoDB compass that is a GUI (Graphical User Interface). By using GUI, It becomes easy for me to work on the database and perform needed queries on the database. Also, the prices of services are normal.

Nachteile:

If your application requires complex, multi-document transactions with strict consistency then the MongoDB database may not be a better fit.

MongoDB- Simply NoSql

Vorteile:

MongoDB is a NoSql DB which helped us to store the non relational data. Searching and storing capacity of this tool is really good as compared to other databases

Nachteile:

If you are moving on it from RDBMS than you may face some issues in the starting else it is really good to go.

MongoDB is a widely popular NoSQL database

Kommentare: Overall, MongoDB is a powerful and flexible database that offers a range of benefits for developers and enterprises. Its scalability, performance, and ease of use make it a great choice for a wide range of applications.

Vorteile:

MongoDB is known for its high-performance capabilities. It can handle large amounts of data with ease and is highly scalable, making it an ideal choice for enterprise applications.MongoDB offers a comprehensive set of APIs and drivers for popular programming languages, making it easy for developers to work with. It also has a powerful query language and supports a variety of data types.

Nachteile:

MongoDB can be memory-intensive, especially for large datasets. This can make it challenging to scale horizontally without significant hardware investments.Some advanced features, such as backup and recovery, are only available in MongoDB's enterprise edition. This can be a limitation for organizations that cannot afford the cost of enterprise licensing.

A Comprehensive Review of MongoDB: Pros, Cons, and the Bottom Line

Kommentare: MongoDB is an excellent choice for developers looking for a powerful, scalable, and reliable database solution. While the initial setup and learning curve can be challenging, the benefits of MongoDB's document-oriented data model and robust query language make it an ideal choice for many different types of applications.

Vorteile:

MongoDB is highly reliable and offers unparalleled scalability. With its robust query language and powerful document-oriented data model, MongoDB is capable of handling complex data management tasks with ease. Additionally, MongoDB offers excellent support for developers, with a range of tools and services for managing databases.

Nachteile:

Although MongoDB is a powerful tool, it can be difficult to set up, and the learning curve can be steep. Additionally, MongoDB's lack of support for joins, transactions and some data types can be a challenge for more complicated applications.

Great data storage solution with space for improvement

Kommentare: Using MongoDB for years, mostly as local storage in docker containers. Latest project is based on cloud solution.

Vorteile:

I like the Atlas Cloud solution. It enables various tricks and cross-integrations of single database between multiple apps (containers) with simple user management - for a reasonable price.

Nachteile:

I cannot get over this Atlas Compass UX issue - I want to open at least two "tabs" with collections at the same time. This is not possible and even worse, when you switch between collections, thee state is completely reset. So I'm compiling the search query carefully with all the commas, brackets and identifiers, I often need to search for ID from another collection or maybe from the same collection. When i change collection scope -> BAM! The whole query is gone :( The input should retain its actual value... Second "issue": When it comes to schema changes in living DB, sometimes it behaves unexpectedly (no error, no data). Maybe I'm doing something wrong, but I would like to know it...

Why mongodb is widely used database in current market situation.

Kommentare: I have merged mongodb with the react js and building a fully dynamic website for a client.
And mongodb have the user authentication in builtin so it’s easier for me so no need to extra code for that part.

Vorteile:

Mongodb is a no-sql( not only sql) database.so it is different from other traditional database.its support partitions and indexing both so the data fetching is way more faster then other traditional database. We can use both partition and indexing for storing data and also make use of partition we can fetch data in less time as compared to others database and its store data in horizontal way so no relation and no scheme needed so its gives faster performance in data analysis.

Nachteile:

Mongodb doesn’t support procedure which is now supported bat many other no sql database and mongodb have little bit complex queries to understand for a new user.

My first NoSql database

Kommentare: I started using mongo db in the last year of my degree and I used it as the database for the final year project also. I can highly recommend this as a highly scalable and high performing database.

Vorteile:

I see lots of benefits in mongo db over relational databases in the market. The main thing is the rich querying capability where we can write very complex queries without degrading the performance of the application. Mongo db is somewhat new to the industry and it is updating day by day and whenever I have a doubt, there is a strong community to ask from.

Nachteile:

When I was learning mongo db, what I felt was the complexity of understanding things mainly theories.

Most Efficient Database Management System

Vorteile:

Scalability is one of the primary and most useful feature of MongoDB, MQL (MongoDb Query Language ) is widely supported by different programming langauages.

Nachteile:

Does not support Transaction feature like MySQL.

Best database platform

Vorteile:

Without a doubt, the best database platform in the world. It integrates with everything.

Nachteile:

It would be much nicer if it was integrated with an all-in-one platform. I would go into all the project config with a single account (incl MongoDB database).

Efficient and User-Friendly: MongoDB Simplifies Database Management

Vorteile:

I switched to MongoDB and I'm so glad I did! I used to dread managing my databases, but now it's a breeze. MongoDB is incredibly efficient and user-friendly, making it easy for anyone to use. It's also highly reliable and secure, which is very important for me. I can now easily store, manage, and query data without any hassle or confusion.

Nachteile:

No hiccups: MongoDB has been working without any issues for me.

MongoDB: Is this your new database partner?

Kommentare: When managing big datas especially important ones. MongoDB helped me lot on processing and visualizing large chunks of data and analyze it effectively.

Vorteile:

Working with data whether big or small, it gets the job done due to its reliability and security.

Nachteile:

So far, all features are very helpful to me but sometimes its performance lags but minor only.

Solid NoSQL Database

Kommentare: All in all my overall experience when using MongoDB is super positive. I would recommend to everyone looking for a No-SQL database solution.

Vorteile:

MongoDB is my favourite solution when I have a use case that is not covered by traditional relational databases such as MySQL. About MongoDB i like most the powerful analytics and querying processes as well as the quite simple installation.

Nachteile:

You should be aware about some limitations, that are relevant for some use cases, such as 16 MB per document or maximum 100 levels for performance nesting.

MongoDB - NoSQL database that perfroms and provide scalability at ease.

Kommentare: Excellent NoSQL database that beats the query speeds of RDBMS. In case one is having budgets to choosing a NewSQL databases would be wise choice. In all MongoDB wins on aggregation queries with even on billions of documents. One needs to spend enough time working with MongoDB queries to harness the power of aggregation thoroughly.

Vorteile:

The speeds at which the aggregation queries are churned by the database cluster running on 8 GB virtual nodes.

Nachteile:

The enterprise versions are pricey. The license cost is dependent on cluster sizes and data ingress costs are additional if the cluster spans a data center.

MongoDB is my choice of nosql / document database for paired use with Node.JS

Kommentare: I needed a free but industry standard database for my Node.JS based library management application. MongoDB was just what I needed, I did consider MySQL but I wanted to try nosql / document orientated. It has been fantastic - it's hard to believe productions like these are free for all.

Vorteile:

I love how MongoDB integrates with code in such a way that queries look just like any other code. I also love how the documents from MongoDB are returned natively to Node.JS as objects without any mapping at all. MongoDB is an intuitive and very performant database, I recommend trying it if you haven't.

Nachteile:

The big thing with MongoDB you have to get your head around is the whole redundant data thing - it is usually recommended that you store a lot of redundant data in your documents instead of having data normalised with relationships as you would in a relational DB. Have redundant data can make your query code really simple, but it can make your update code very complex / cumbersome. However, you can opt out of this approach and use MongoDB with relationships - I would recommend using Mongoose (an npm package) that will handle a lot of the work with relationships for you.

MongoDB is the NoSQL leader and getting better

Kommentare: The first decision about whether to use MongoDB or not is whether you need a relational or non-relational DB. Once you decide a non-relational is best for you project, then MongoDB is a solid choice. It has the ongoing support of a professional team and is widely used in the market, especially for projects utilizing the MEAN stack. This makes it easier to deploy than other solutions.

Vorteile:

MongoDB is incredibly easy to set up and use. The fact that non-relational DBs are better for more unstructured data, makes it so that you don't necessarily have to know exactly what the end state is going to be before building your schema. Its data throughput is also a key differentiator, so anything with Big Data is going to be a good fit for a non-relational DB and MongoDB, in particular. Finally, the team behind MongoDB is constantly improving the product and releasing updates, and there are several good data viewers in the market, including one from Mongo, for viewing the data and creating queries.

Nachteile:

Creating metrics dashboards can be challenging due to the potential need for JOIN queries in your data. Anything that contains these will be harder to aggregate. Their aggregation framework can be hard to use and limiting for certain requirements.

Best Data Management App

Vorteile:

1. Provides sufficient Backup and Recovery tools2. Allows for big Data Migration

Nachteile:

Increase the free trial period to allow learners to up their game.

MongoDB is great but it AWS is coming for them

Kommentare: I have used MongoDB across multiple companies because of the reliability, the strong security and backup procedures, and the exceptional team they have supporting their products. However, I am concerned that with Dynamo being solid now, MongoDB won't have much of anywhere to go. We used MongoDB with AWS for a long time and now it's just easier to also use Dynamo. This is a shame because Mongo's team is exceptional.

Vorteile:

MongoDB's support for setup and when we have run into problems was the best part about using Mongo and why I've come back to it many times.

Nachteile:

MongoDB has good relationships with other providers but the fact that it's not part of a larger suite of cloud-based solutions is a shame.

Secure storage of research data

Vorteile:

The database is very customizable. We were able to create a system to easily locate and track data based on individual metadata fields.

Nachteile:

There is a bit of a learning curve, and some of the less technical members of our organization have trouble adapting to the product.