MongoDB Enterprise Advanced Reviews

We are using this solution for storage and mapping. We have developed an application for mapping. We source the GeoJSON position for approximately eleven million points.

Our application is made for desktops, and we started using MongoDB for that application.

We have four teams in our laboratory and the other teams are developing their applications to be used with MongoDB.

The primary use of MongoDB is for mapping the application.

The most valuable feature is the geometric information done with GeoJSON. We search the points, and we can perform searches for the data using the RPA for MongoDB. We can ask for points in the geometric shapes or points near other points.

Simplifying the aggregation framework would be an improvement.

Also, the replica system could be improved.

I have been using MongoDB for approximately four years.

We have anywhere from 15 to 20 people using this solution on a daily basis.

This is a stable solution and we are happy with it.

It is possible to scale this solution but it has a problem with the replication.

I have not contacted technical support. We have been able to resolve any issues we have had on our own.

Previously we used MariaDB and we continue to use MariaDB for other purposes. We started using MongoDB to manage non-relational data.

The initial setup was simple and straightforward.

It took a couple of hours.

I am the only one maintaining this solution.

I completed the initial setup and implementation.

I did not use the help of a vendor or integration. I did it on my own.

MongoDB is an open-source solution.

We are a small laboratory and always look for open source solutions or solutions where the licensing is every year. We are prepared to do the troubleshooting ourselves.

The most important part is to evaluate the rest of the ecosystem integrations. When we started, the driver that we used to develop the application was in C++ wasn't relevant. At the start of the project, we had some difficulties because there was no documentation available. There were no examples and no support from the community. 

You have to take into account the languages that you are using. If you are going to develop in the main languages of the solution such as Python, or JavaScript, then you won't have to worry.

I would rate this solution a nine out of ten.

I have done a variety of things with MongoDB that started with the adoption of this solution at one company. I was involved in setting up the cluster and then the monitoring, alerting, and backup process. Once all of the set up was complete, I was involved in writing some of the components that were responsible for fetching data from MongoDB.

We are now responsible for running the platform, so whoever wants to run MongoDB comes to us and we explain how we can deploy the cluster for their applications. At this point, we build a cluster in the servers under a UNIX account. The number of nodes in the cluster depends on the requirements of the application side.

Some of the use cases we have configured MongoDB for are desk-tooling and a payment card profiling project. We are currently working on a data exchange platform. We also have a couple of use cases in the pipeline for potential MongoDB clients who also need the MongoDB Ops Manager.

The most valuable feature is that we don't need a schema to store the data.

The security is very good. Cybersecurity, authentication, authorization, and server certifications are all valuable features. We can define security rules at the database level or the cluster level to grant or deny access to particular users.

This is a highly available architecture. If you are using a three-node cluster and one of these goes down then either of the secondary nodes will become a priority to eliminate downtime from the application's perspective.

The documentation for MongoDB is not very good and should be improved. Some of the documents are referring to legacy versions. MongoDB 4.2 has been released, but there are training documents and other documentation that still refers to versions 3.6 and 3.4, which is not good. They should definitely update the documentation as new software is released.

Data encryption is possible using third-party tools but they should have their own encryption capability built-in to this solution.

Information about upcoming and recently released features should be made available so that we are aware of the latest features, and how we can manage the issues that will accompany them.

I have been working with MongoDB for the last three years.

We have not had any issues with stability.

We have a support portal where we can log tickets and fix issues. We contact them directly and we can set up a call whenever we need help from them.

For some issues, I would rate technical support a nine out of ten, or a ten out of ten. However, at other times, I would rate them a seven out of ten. It depends on who is dealing with the ticket. There are times where they respond to tickets very quickly and things get resolved in a timely manner. At other times, it takes ages to resolve the problem.

We did not use a different NoSQL solution prior to MongoDB.

We continue to use Microsoft SQL Server for other types of database implementations that require SQL, which I also have expertise in.

The initial setup is not very complex. We used the MongoDB resources to understand how to set it up on a Linux server, and after that, we prepared our own document that explains how to install it. Now it is quite straightforward, although if you are going with a more granular level of configuration, such as enabling other parameters on the cluster, then it would be different. I would say that set up would be a little more difficult, but not much. It's very simple using the MongoDB Ops Manager.

We offer three types of services on the MongoDB platform. First is the ODS service, second is the MongoDB SQL, and third is MongoDB standalone. For standalone, we are providing services on the tenant. With respect to shared services, we have the infrastructure but we have to set up their database on the shared servers. This will be useful for some use cases. The standalone configuration takes approximately 15 to 20 days to set up. It is sometimes less but it takes the time to create and configure the UNIX account because we have a third-party dependency for that.

The ODS solution will be better for enterprise data such as those involving payments, accounts, and customers. 

MongoDB is a solution that I can recommend because we have realized good benefits from it. We are in the process of setting up the ODS project, which should help the organization from a cost perspective. Then we will be moving the mainframe data to ODS, and we can use the MongoDB API to fetch data from there and provide real-time solutions to the customer.

At this time, I cannot judge the benefit of MongoDB in isolation, but as time goes on, perhaps by the end of the year, I will have a better idea.

I would rate this solution an eight out of ten.

I have used the product to store and manage data operations.

MongoDB is simpler to learn and implement than traditional SQL solutions like MySQL.

The product's data consistency could be more efficient than traditional SQLs.

I have used MongoDB for a year while working on a project. I was using the latest version.

MongoDB was stable and much faster than traditional SQL.

There were five MongoDB users in our organization working in different teams.

I was working with MySQL before. I decided to use MongoDB rather than other products to learn something new. It is easier to learn and implement than other databases.

The learning process for initial setup is easier compared to traditional SQL. Someone without prior experience working with it can learn the process quickly.

MongoDB is an open-source product. We don't have to pay for the licenses.

I advise others to evaluate a lot of other databases. MongoDB worked fine for my project. However, I would have selected a product besides MongoDB to improve my skills and learn something new.

I rate it a six 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 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.

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. 

We are using MongoDB to store our transactions. On the front end, we developed something in Java, that fits right into the application. We do not use MongoDB's capabilities to do other operations, such as BI.

One of the most valuable features of MongoDB is it is Its open source.

I have been using MongoDB for approximately two years.

MongoDB is stable.

I have found MongoDB to be scalable.

We have approximately 200 users using this solution.

We have support through online communities, such as forums and blogs.

The installation of MongoDB is straightforward. There is a lot of documentation available and it can be installed on Linux or Windows. The implementation process does not take too much time.

We have a team of engineers that does the implementation of the solution.

There is an enterprise license and it could be cheaper. We are using the free open source version.

I would recommend this solution 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.