MongoDB is a NoSQL database that supports scalable, and high-performance data storage solutions. The platform’s automatic sharing features combined with real-time analytics and horizontal scalability empower businesses with efficient data management.
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Deployment | Cloud / SaaS / Web-Based, Desktop Mac, On-Premise Linux, On-Premise Windows |
Training | Documentation |
Languages | English |
Simple setup and admin. Mongo is easy to set up and manage. Understanding the use cases and limitations is also pretty easy to understand
we are approaching the limit of mangodb in terms of in mem usage
ML intermediate storage
Scalable db!!!!!!! I used it before not not snymore. What i heard from collegues is Mongodb is doing a great job
No qulams!!! ............................................................................
segregating data
With MongoDB, our company was able to rapidly develop and deploy enterprise solutions to problems that had been plaguing the company for years. The ability to easily install and configure on any platform was a major plus as well as the ease of integration into applications with useful libraries made it all the more easier to adopt.
One gripe our developers have is about Compass. They don't feel the UI is as intuitive as it could be. The only other issue we've had is with some transactional error messages which don't point specifically to the problem.
See above. We are building a common digital platform for business operations around the world, both customer facing and internal. We were able to drastically reduce login time for one of our existing platforms from almost 20 seconds down to under a second.
THIs allowed us to use less code. Which means less cost.
Support fotr people coming from RDBMS especially experienced users.
High cost and performancre
it is a very nice platform for the big data nad scalability,
The aggregation part is a little bit tough
i have solved those businesses with big data
The open application so we can custom dfevelop it.
Customer service is slow to respond but very thorough when responding.
bug fixes are easy since validation is simplified
I personally enjoy the flexibility of the schemaless document store combined with the rich query language
The 16MB document size, though I understand why, and gridfs is always an option, is slows things down.
Real time data, which is highly available, and with election's worth of traffic spikes possible
Easy to setup. Considerable less time to start working in agile methodology.
standard set of admin tools with maturity as other RDBMs
Cloud based media mgmt
Easy install Easy config Low cost Good documentation for the beginners and can learn using mongo university
We are in POC phase so did not explore all features of the mongodb so to early to justify
application
The mongodb has so many useful and awseome features, like sharding for scalability or replicasets for high avalavbility and with mongodb 4.0 we now have even transactions.
For small database puposes mongodb does not really fit.
HA combined with good scalabiliyty
Deployment & Version manifest. Ease of database backups for replicaset and shards
There could have been a better documentation around the HA setup of ops manager and backing databases.
Faster time to market with automation agent integration with on prem PAAS (PCF)
SImple to setup, and flexible architecture.
no it works as exopected and not really hard to set up.
No regular data streaming
The free courses that help me become more familiarized with the environment of MongoDB especially learning NoSql format.
Still learning with the environment, not much to dislike so far. I enjoy the lessons.
The benefits is learning a new why of processing data.
Ease of use.... It just worked. No tricks, no work a-rounds.
I would say aggregation queries need to be tightened up a bit. They can be quite complex to implement and you sometimes have to experiment to get the behavior you want.
Cost and time savings for the aviation industry.
Scalability and performance NO SQL and compression of Data
Space issue and Scalling memory is expensive
Migrating from relational DB to no SQL