MongoDB Reviews

When the company started, MongoDB was our primary database.

It offers great flexibility where developers can define any key and assign a value to it. This means that there is very little that one has to plan in terms of designing the schema upfront, so developers enjoy a lot of flexibility. Now that we have more use cases for which NoSQL is not suitable, we are trying to move those workloads out of MongoDB.

MongoDB is extremely developer-friendly because when you are starting, there is very little time needed upfront in terms of planning. Whenever a developer wants to build a certain feature, they simply define a key and a value and that's it.

It is very easy to create an index on a field that you want to have searchable.

All of the documents are stored in JSON format, which gives developers a lot of flexibility.

MongoDB should not be used for reporting, analytics, or number-crunching tasks.

The pricing should be improved because the whole design is around replication of data, so in terms of storage costs, in the long run, it will be expensive. The amount of storage grows very quickly when compared to other databases that store data in normalized form. If there were a way that some data could be partitioned or moved into cold storage then it would be very good.

We have been using MongoDB for about four and a half years.

There are bugs in the system but they are not very significant. We have found a workaround for each of those bugs and we have been running the full-scale production cluster for more than four and a half years. As we haven't had any issues, I would say that it is pretty stable.

This solution is used constantly by both us and our customers, every second of every day.

We are not looking at increasing our usage. Rather, we will be moving some of our workloads off of MongoDB. Ultimately, usage will be at a standstill or perhaps even reduced.

This is a scalable solution. We have close to 100 developers who use it. In addition, our entire business makes use of MongoDB. Everything the customer does makes use of this solution, so I would say that we have at least 100,000 users.

Because we are using the Community Edition, we don't have any support whatsoever.

We did interact with them for MongoDB Atlas, and we are still in contact with them to see if we can take something into production a couple of quarters from now.

We did not use another NoSQL database solution prior to MongoDB.

When we installed MongoDB the initial setup was complex. However, now with Atlas, it is very easy. It took us less than a week to deploy and now, with Atlas, there are a lot of things that you don't need to know that was required four years ago.

I did the original cluster deployment on my own.

We are using the Community Edition of MongoDB. However, we would be happy if the pricing for the full version were more competitive.

We use a lot of different database products and the choice depends on the use case.

With respect to NoSQL, we did not evaluate other vendors because when we implemented this solution four and a half years ago, it was the only scalable NoSQL database. This made it a rather obvious choice for us at the time.

The features that I have looked for are in this solution and we are using an older version. The current cloud-offering, MongoDB Atlas, has even more features. It would be a natural fit for us, but it will not be easy to move because we have a lot of dependencies. We have to update drivers, isolate collections, and take care of other issues before we can switch.

My advice for anybody who is implementing this solution, or any other database, is to take care to plan your indexes because it is extremely important. Spending some time designing the document structure in the initial phase will certainly help you in the long run.

I would also suggest that in terms of sharding, try to think about it as early as possible so that when you are ready to scale, it will certainly help to reduce the workload.

Do not rely on MongoDB for any of the analytics use cases. Aggregation works well but do not use it for your reporting or analytics or number crunching-related tasks.

I would rate this solution a nine out of ten.

We are using MongoDB for unstructured databases.

The most valuable features of MongoDB are we have a lot of documentation and SQL-based applications that run on it.

MongoDB could improve by not having so many updates and different versions.

I have been using MongoDB for approximately two years.

MongoDB is stable, but there are always a lot of patches and upgrades every now and then.

MongoDB can scale but you will need to pay for the upgraded solution.

I have not contacted the technical support of MongoDB.

The initial setup of MongoDB is simple and the implementation took approximately one day.

We did the implementation in-house.

MongoDB is a free solution. We wanted to have high availability and the subscription cost was quite expensive because the basic one is free and then when you want to have some other replications or other features you will need to pay money. Overall the solution is expensive.

I would recommend this solution to others.

I rate MongoDB a six out of ten.

We recently had customers asking about MongoDB, so we have started to deploy new environments for that. We have implemented it may be four times. We are implementing it for our customers in our own infrastructure. We have done on-premises as well as cloud deployments. 

Our database team works on the use cases. I work only on the implementation part. I am responsible for getting the clusters up and running. I'm just managing the server and guaranteeing that the clusters are up and running and backing up. I also handle the monitoring.

It is very easy to create a MongoDB cluster. You can deploy three nodes in one hour.

You can do small configurations to enable routing. It is easy to implement.

It should have GUI for managing clusters. MongoDB needs a more powerful GUI to manage clusters and make switchovers. Currently, there is no good, free tool to check the replication to find out if there is a gap. 

It is very stable.

It is very scalable. You can add nodes every day to the replica.

I have no experience with technical support.

It is easy to implement. One person can manage ten managed MongoDB clusters.

At the moment, all customers are using the community version.

I would highly recommend this solution. I would rate MongoDB a nine out of ten.

Our primary use case of this solution is for schema lists. It's easy to populate the data and to get information for summaries and things like that. The second use case is that there is a mainframe and the upgrades on the mainframe can use your CPU time. As the customer is working on the mixed product, it becomes very costly. Using MongoDB internally allows us to divide as much as we can with it. And there is a service provision that I think is much cheaper than continuing the maintenance of the machine. 

The feature I find most valuable, is that it is easy to use. Even a non-technical person will be able to understand it. I also find the integration with other tools very easy.

The price can always be better. I mean, we are a big corporation so it is quite expensive for us. So perhaps they can improve on the price.

I have been using MongoDB for two years now.

MongoDB is very stable.

The solution can be scaled without any issues.

I have not yet contacted the technical support team of MongoDB, but I have great interactions with the MongoDB side. We have our own technical team in our company that takes care of our issues. 

We have used Snowflake before and I can tell you what the difference is between MongoDB and Snowflake. Snowflake is a totally different type of database. It is basically shot across small units and its solutions are only for the cloud. Your access can be private and it can be fast on the queries. Whereas with MongoDB, it takes much longer than with Snowflake if you want to extract. Snowflake is much faster. It has good analytics capabilities, though.

The initial setup was easy and quite fast. The only problem is the provisioning environment within the cloud. Deploying the MongoDB program doesn't take very long. The whole process of deployment needs only one additional person to do its maintenance and to finalize the deployment faster.  

I will rate this solution a seven out of ten because I like the interface and the integration with other tools. In the next version, perhaps they can modernize the storage options. I think they have a very good reputation, from what I hear from our client comments. The program has speed and it has simplicity. If you want to extract the application, the terms of applicability it is good. And you can use the intelligence within the program. 

We are a logistics company, and we have a lot of data coming from the users. We have a model, but we need to be flexible with that model. That is one of the reasons why we are using MongoDB.

It is convenient to use because we can do manipulations with the JSON data that we get. There are also a lot of joins and associations with MongoDB, which makes it easy to use for us.

There is also a lot of transaction-related support from MongoDB.

The auto transaction feature is something that I found a little bit problematic. If we want to run two or three transactions at a time, we get write conflicts. So, it becomes really difficult when concurrency comes into the picture. 

Sometimes, there are some problems in creating a connection with two or three tables, such as running two queries at a time or getting a reference from one table to another table. People generally don't use it much to join two or three tables, but I would like them to simplify that process.

It can sometimes be a little bit difficult to understand for a newcomer.

I have been using this solution for one to one and a half years.

There are a lot of articles and a lot of discussions online. So, we pretty much get all the answers that we want. If we have any problems in using it, it gets resolved as soon as possible. There are a lot of communities, and we are able to get the answers.

I was not a part of the installation process. It was already installed when I joined the company or started working with it. So, I don't have much idea about it, but when we install it locally, there is not a lot to do with it. The control that we get from the command prompt of MongoDB makes it easy to use and very convenient.

I would recommend MongoDB to others. It is good in terms of support.

I would rate MongoDB an eight out of 10.

We use it just for data storage. I joined this company two months ago, and I am just testing it on my local machine. I haven't used it a lot.

It is easy to set up.

It would be good to have scalability for clusters. For example, if we have three clusters, we should be able to increase to five clusters if required. I am not sure if such a feature is currently there. I hope there is good documentation for this.

I have been using this solution for half a year.

We're just doing something new, and we are still in the testing stages. Based on our experience so far, it is stable.

It is scalable.

I haven't contacted their technical support.

It is easy to set up.

I would rate MongoDB an eight out of ten. It is a good product, but it requires some improvements.

We primarily use the solution as a database. It's basically used as a storage engine.

The solution is a very dynamic product. It becomes extremely easy for us to support user requirements and we also make use of the simplicity of a cloud redeployment.

The solution is easy to deploy.

The product can scale quite well.

The cloud version of the solution is very affordable.

The solution's most important aspect is its seamless database.

The solution offers excellent documentation.

The on-premises version of the solution is still pretty expensive, especially compared to the cloud version.

The management on the cloud is pretty good, however, the on-premises deployment model is a bit more difficult in this area.

If they want to make their product a little competitive, they'll have to go to organizations and get a bit more commercial in their approach. They need to think about pricing and licensing for RDBMS players. For them to be competitive in the market, they will have to think of strategies other than what they have currently. Their pricing definitely needs to improve.

We've been working with the solution for four years now. It's actually coming up on five years soon.

We've never faced any issues with stability. It's been very good so far. It doesn't crash or freeze, and it's not buggy by any means.

The solution is extremely scalable When we need to expand it out, we know we can do so easily.

We have about five products that factor into the needs of the BFSI segment in India. These proprietary products developed on five or ten platforms. We don't develop MongoDB, we just use it as a storage platform.

Currently, we also use RDBMS. We use Oracle for some other products. We don't just use MongoDB exclusively.

While Oracle is better for transactional services, MongoDB is extremely good at support services. That's the main difference. I have seen people use MongoDB for transactional as well, however, I have never attempted it, so I can't speak to it's capabilities.

The solution is very easy to deploy. The implementation is not complex at all.

The on-premise implementation takes a bit longer. We're looking at a six month implementation for one of our clients, for example.

We handle the implementation ourselves in-house. We don't need the assistance of a consultant or integrator.

For people who can afford it, there are good subscription offers that are available on the cloud as well as on-premises. On-premises is still a little expensive. However, if a company decides to go to the cloud, it is pretty affordable.

If the company is small, there is a community edition that can be taken advantage of. If a company needs to scale quite a bit, they'll need to move up to the enterprise version.

Due to the fact that we are a BFSI focused product company, we typically recommend that users go for the enterprise-level license.

There is also pricing surrounding support. We're in discussions with MongoDB about that now. I don't know the exact costing just yet, however, I know it isn't free.

We are a customer of MongoDB. We don't embed it in our application, however, we recommend it to our clients who use our product.

We're mostly on the cloud deployment version of the solution However, we do have a banking client who requires an on-premises solution. We work with both and have experience with both.

This solution is perfectly suited for companies of all sizes, from small to large. Small companies can definitely use the community version, however, this product offers an enterprise-level license for much larger organizations as well.

I'd advise new users to be flexible and be able to change their mindset when it comes to MongoDB and what is in the RDBMS. there's a bit to unlearn before you re-learn MongoDB. The solution does have a good survey of languages and it's quite good.

Due to the fact that is scales well, I'd rate it eight out of ten.

Our company uses MongoDB for various clients.

We primarily use the solution to store the databases, various user logins or log information, and lots of other things.

The solution's most valuable aspect is its ability to store and fetch. Both the processes are easy with this tool. Patching and sewing are simple.

The solution is stable.

We've found the product to be scalable. 

The initial setup is pretty straightforward.

We'd like technical support to respond faster to queries. 

I've used the solution for maybe six or seven years at this point. It's been a while.

The solution is stable and the performance is good. It's reliable. There are no bugs or glitches. It doesn't crash or freeze.

In terms of scalability, if you compare it with the traditional database system, it's quite scalable.

We have ten to 15 users on the solution currently.

We've used technical support in the past. The support response could be a bit faster. That would be helpful for us. 

We also use SQL databases. We use the SQL server. We've been using it over the last year. 

The installation process is simple. It's not overly complex or difficult. 

I'm not sure how big of a team we need for deployment and maintenance. 

We have an in-house technical team. They have experience installing it. We do not need integrators or consultants or any outside assistance. 

I cannot speak to the exact pricing of the solution. I don't have any visibility on those details. 

We have the solution deployed both on-premises and on the cloud. We're using the latest version of the solution. 

I'd recommend this solution to others who are curious about using it. 

In general, I would rate the solution at an eight out of ten. It's been pretty good overall and we're mostly satisfied with its capabilities.