MongoDB Reviews

We just recently downloading the product and we were trying to do the migration and it worked well. We use it as an individual level only, small projects, and small migrations. We have completed a full project yet.

One of the most valuable features is the ability to Text Search can be used anywhere and anytime.

I have found the solution difficult to operate as an administrator. They could improve the experience by adding some more features to the UI. There needs to be better integration, we have been having some issues with some projects.

I have been using the solution for the past year.

The solution has been scalable so far for our level of raw data and we expect it will be good even if we complete the whole project.

We have used SQL Server and Elasticsearch in the past. SQL Server was easier to manage as an administrator than this solution.

The installation of the solution was not an issue for the client or the server.

The solution is straightforward to download and install. However, configuring is what takes time. For a small migration, there were approximately seven people involved. We all spent some time learning the new product.

If you want support with the solution you will need to purchase a license and not use the open-source version. The license is a little expensive.

Going by my level of experience in these solutions I would recommend it to others.

I rate MongoDB an eight out of ten.

MongoDB is a database management program that can be used for large data.

MongoDB is flexible and it allows other applications to be added.

The solution could have more integration.

I have been using MongoDB for approximately one year.

I have found MongoDB to be stable.

MongoDB is scalable.

We have approximately 30 people using this solution in my organization. 

We have a team of six engineers and administrators that do the implementation and support of MongoDB.

There is an annual subscription for the use of this solution.

I would recommend this solution to others.

I rate MongoDB a nine out of ten.

We use it for searching. For example, we use some files and documents that are stored in MongoDB, and we use it sometimes to search for certain key words. We also use it to search within the documents that are stored in MongoDB.

MongoDB is scalable and stable. The initial setup is very easy, and deployment and maintenance can be done by one person.

I think it would be good to have more search options such as an index resource. This will provide more options and resources to do advance searches.

Criteria and filters would be good too as they will help us find what we are looking for. Filters will be useful if you want to filter something to a dashboard according to certain criteria.

I have experience with MongoDB for about six months.

MongoDB is stable. We have had no technical issues with it.

It is a scalable solution.

Technical support has been good.

Installation is very simple. It can be done in a few hours. We needed only one person for deployment and maintenance.

Our customers pay for yearly licenses for MongoDB.

It's a very good product, and I would rate it at nine on a scale from one to ten.

We use this solution to deal with large amounts of data, including pictures, voice data, and video data. These types of data are not suitable for SQL databases — MongoDB was designed to deal with such data. Video, pictures, voice, and other files.

Currently, we just have one customer using this solution. 

It's a complex solution, but MongoDB can deal with many kinds of files — I can send video, pictures, voice data, and files. MongoDB can deal with these types of big data. It can handle a lot of files quickly. Older products like MySQL, cannot deal with files quickly.

Our engineer is having a bit of trouble because it's a new concept database. Currently, we're just getting used to the product. 

I have been using MongoDB for slightly less than one year.

Our program developer finds it to be a little unstable, development-wise. Still, it's hard to say because we're new to this solution. It could just be that we don't understand how to properly use it yet.

We don't even know how to get ahold of MongoDB support. We don't know how to contact them. We prefer local support. 

The initial setup is not very easy. We need to perform several configurations. 

Deployment requires one or two engineers. We're integrators.

We have one customer using this solution. They asked to use MongoDB because they deal with large amounts of data. Oracle and MySQL cannot handle such large amounts of data so they need to migrate to a NoSQL database. For this reason, they asked us to evaluate MongoDB.

As we have not finished our evaluation yet, I can only give it a rating of seven out of ten. I can't recommend it yet for the same reason. 

One of the key component of our system uses MongoDB as its data store. We use it for storing data sent by devices. It is an IoT platform.

We capture more than 30 million records every week in IoT NS. 

MongoDB has been serving us well so far. It is easier to maintain the data with its document-based storage.

• Its capability to do quick, powerful aggregations has caught my attention. 
• The search queries are pretty fast and mean time to get response is around 50-100/ms. 
• The installation is very stable.

Its indexing capabilities could be further improved. The libraries, e.g., Mongoose could still be improved to handle MongoDB. The improvements could be made to intelligence to detect disk storage and prevent MongoDB from crashing.

No stability issues.

No scalability issues.

The setup is pretty straightforward. Just install, create a user, and start using it. 

I felt it was quicker to use MongoDB compared to MySQL.

We implemented it in-house.

We did compare Cassandra against MongoDB, but we faced a few problems while data was restoring with Cassandra and chose MongoDB to avoid such issues.

We are a solution provider and we develop applications.

Our primary use of MongoDB is data analytics and it is also used for document management.

MongoDB has a simple data-loading interface. It is not as formal as a traditional database system.

There should be better integration with other databases.

The security should be improved.

We have been working with MongoDB for two or three years.

We have had no issues in terms of stability.

This is a scalable solution that is better for data analysts when compared to a traditional database.

I have used other databases but they were SQL solutions. MongoDB is different because it is a NoSQL solution and the structuring of data is less formal. It has to be formatted internally.

The initial setup is good.

This is an open-source solution.

Most of the features are very nice and MongoDB is a solution that I would recommend. If a company or organization needs a document management platform or is doing marketing analysis then this is a good product.

I would rate this solution a seven out of ten.

I use it mainly for development. It's a plain document database that maps adjacent data structures. It doesn't cost us that much to integrate. It scales well and it's easy to replicate. It's very easy to set up and it's very easily monitored.

The solution is known for not requiring people to set a root password when you set it up, so it has leaked data, like a feed, and it's the first thing I need to teach everyone that sets the system up. There was a story out of China where there were 100 known users that were being monitored by the government and there was a MongoDB cluster. They forgot to set a root password so it was publicly available and that kinda happens over and over again so people need to at least supply some basic securities. 

Training would be very good, at least to get some basic production level set up. People need to figure it out because just setting one up is easy, but then you need to get a replica going and that's hard and then getting performers ready and that's even tougher and somewhere along the way people tend to forget about security. Every month some major company forgets to set the password.

More stable indexes would be helpful in a future release. That's been an issue for some time. I don't know if it's been fixed now but we transitioned to it because we needed a search index to be able to search for things and if that goes or starts disappearing, we have to move away from that solution. I don't know if they fixed it, last time I had this issue was three years ago so they might have solved it.

The solution is completely stable.

Scalability seems good. I've never been even close to finding the limits. I've run a couple of notes of redundancy but I've never had any problems with scalability.

I have never been in contact with the people who developed MongoDB. I've never bought any support from them or had any issues. When we've run into something like scalability or other issues, we've always managed to figure it out on our own. The community's also fairly strong so technical support isn't something we've needed.

I use Kubernetes. These are management tools where you can select which items you'd like to install first and you basically just provide what kind of features you want to be activated and how many nodes you want to be activated in the database. I would install it as part of a Kubernetes cluster and it's pretty straightforward because the chart, as its called, is managed by and used by thousands of people so I don't need to know exactly how to set up every single bit of it.

It's also all very automated, which makes it easy. In fact, I use it a lot in teaching as well because it's very easy to set up.

My first foray into MongoDB was actually when I started using a Google data store which is very similar. We ran into problems because we didn't have any search or solutions for it. We switched over to MongoDB because that had the basic search engines we needed so we can actually get some basic search going and be able to scale out. 

We didn't do a technology selection. We just had other technologies that didn't pan out so we gradually moved into MongoDB. 

The solution scales very well and is very easy to replicate.

If you need something done quickly and you need something that does scale fairly well I would suggest MongoDB. You can always transition away from it later on. It's always a solid first bet if you want a simpler kind of web page or web system. It's a very solid choice if you want to get up and running quickly. It's my go-to for all these little startups that I manage.

MongoDB seems to give just exactly what we need and I find most of my clients have never transitioned away from MongoDB.

I would rate the solution seven out of ten.

We use MongoDB for big data analysis. We are also developing monitoring tools, and if our data grows big enough, we'll use MongoDB to silo out the data structure.

In general, I am satisfied with this solution.

MongoDB is fast and efficient.

Currently, I understand that they're revamping and adding a lot of features, and things are moving a little slowly. The performance could be faster.

I have been working with MongoDB for a few years.

I'm not sure which version we're running, but our technical team is keeping up with the latest developments.

MongoDB for now is stable enough.

MongoDB is a scalable solution.

I am satisfied with the technical support.

Previously, I was not using another solution. It was already in place when I joined the company.

I was not involved with the installation. 

We had our technicians complete the installation.

I believe that the licensing fees are paid on a yearly basis.

I would recommend this solution to others who are considering using it.

I would rate MongoDB a seven out of ten.