MongoDB Reviews

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Score 8.2 out of 100

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Chi Anh La | TrustRadius Reviewer
Score 9 out of 10
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Pros and Cons

  • Horizontal scaling with shard cluster
  • Helpful documentation
  • New and meaningful features in yearly releases
  • Aggregation framework for reporting application
  • Transaction not supported on sharded collection
  • Documentation is complete but not well structured
  • Support for MongoDB customers should be improved
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Sagiv Frankel | TrustRadius Reviewer
Score 6 out of 10
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Pros and Cons

  • Easy to set up locally and on different SAAS providers (Compose.io and then MongoDB atlas).
  • Being schema-less helped with having a rapid pace of development as there where many schema changes.
  • Full stack developers on a NodeJS server could get started very fast as the API was familiar and relatively simple.
  • Very hard to tell how to best structure your data and then effectively query it. Most of the time this led to just splitting everything into different collections and joining them on the application server or the client which was slow and hard to maintain.
  • Documentation is not friendly and confusing.
  • No real joins and complex querying is unclear.
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Rounak Jangir | TrustRadius Reviewer
Score 9 out of 10
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Pros and Cons

  • Good integration with the Hadoop ecosystem, so it can be used with the other services of the Hadoop ecosystem.
  • A good NoSQL family database, so you can easily store the raw data as documents.
  • Good scalability as you can easily share the data and have quick availability of data.
  • Easy replication of the data.
  • Learning will definitely take time.
  • Updating is not fast, so if you have a use case where you need to update your data at a high rate, then it is not a good choice
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Gabriel Samaroo | TrustRadius Reviewer
Score 10 out of 10
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Pros and Cons

  • Very easy to learn and use. Arguably a simpler query language than traditional SQL.
  • Large community and excellent documentation. This means many resources and support available.
  • Great for dealing with unstructured data. No need to spend time creating schemas (when unnecessary).
  • Cost efficient. Free for many types of use.
  • Less flexible than traditional SQL (i.e.: no joins). This means it's not suitable for certain data needs.
  • Can take up more space than typical relational DB, which can be problematic for very large data warehouses.
  • Not fully transactional (ACID compliant).
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Anonymous | TrustRadius Reviewer
Score 9 out of 10
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Pros and Cons

  • Extremely fast reads and writes if using the right indexes
  • Built-in aggregation function for on-demand computations
  • Ability to use any cloud provider for implementation. Even their own Atlas service is pretty good and affordable.
  • If installing it on-prep or on your own account in a public cloud, it can be a daunting experience.
  • Their aggregation functions still have room for improvement.
  • Native operational reporting functionality is a bit quirky and you have to pay for it separately. This should come built in and free.
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Anonymous | TrustRadius Reviewer
Score 10 out of 10
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Pros and Cons

  • Ease of use and familiarity, particularly for Javascript developers
  • Community, support, and tooling are readily available
  • Design with NoSQL in mind and you'll wonder why you ever needed relational features
  • Great query language
  • Complex querying. Aggregation could be better explained and a bit clearer
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Anonymous | TrustRadius Reviewer
Score 9 out of 10
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Pros and Cons

  • Durability. MongoDB has a cluster structure ensures that data will endure without losing it. The primary-secondary-secondary structure is the key to preserve data.
  • Fast response. MongoDB responds to request in milliseconds which is very fast for data processing.
  • Price is fair. For the amount of money we spent, the product serves us well.
  • I understand the P-S-S structure is meant to be secure but sometimes I feel in some places it is redundant.
  • For more complex queries, it can be hard to work with.
  • The document is kind of not up to date.
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Anonymous | TrustRadius Reviewer
Score 9 out of 10
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Pros and Cons

  • As Mongo DB is free for commercial use, it helps in creating the startup from scratch and hit the ground running.
  • It makes messaging system management easy on cloud. Mongo DB helps to manage db on cloud.
  • Mongo DB should return valid error while using JSON schema. It is confusing if error is not shown properly.
  • Support for MongoDB should be improved.
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Anonymous | TrustRadius Reviewer
February 23, 2019

MongoDB Review

Score 8 out of 10
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Pros and Cons

  • Simplifies modeling complex, non-relational datasets.
  • Strong open source community.
  • Has solid libraries in a variety of implementation frameworks — e.g. Node JS and Mongoose.
  • Documentation is at times overly difficult to understand.
  • Versioning became confusing between major versions 3 and 4, with many still working on and implementing 4.
  • Lacks some of the nice-to-have features of more mature, generally relational databases like MySQL or PostgreSQL.
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Anonymous | TrustRadius Reviewer
Score 9 out of 10
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Pros and Cons

  • It is basically a well known and popularly used non-SQL database. It provides great performance, especially when reading big sized document or text (such as sequencing), well-developed functions, and online support.
  • There are many database developers who are already familiar with MongoDB, like other major non-SQL products. It is easy to hire engineers with reasonable payment.
  • Since our project was genomics research, we handled tables with numerous rows and large file size. MongoDB was performing well in hard conditions and very stable.
  • There is no JOIN and TRANSACTION, so it was required to add those by application developers. It was mandatory for us to do it since we had to merge genomics data in MongoDB with RDBS based clinical data.
  • MongoDB doesn't provide good data wrangling functionalities, such as parsing JSON or XML.
  • Data type definition in MongoDB is somewhat different than other databases, and results in some learning curves for our DB and app developers.
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Ronald Melendez | TrustRadius Reviewer
Score 9 out of 10
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Pros and Cons

  • Being a JSON language optimizes the response time of a query, you can directly build a query logic from the same service
  • You can install a local, database-based environment rather than the non-relational real-time bases such a firebase does not allow, the local environment is paramount since you can work without relying on the internet.
  • Forming collections in Mango is relatively simple, you do not need to know of query to work with it, since it has a simple graphic environment that allows you to manage databases for those who are not experts in console management.
  • MongoDB seems to be one of the most complete tools in its field, I believe that it has all the features that a non-relational database should have.
  • Perhaps because it is a relatively new tool there are very few experts in the field of MongoDB.
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Bill Hefty | TrustRadius Reviewer
Score 8 out of 10
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Pros and Cons

  • Easy to run locally on a dev machine
  • Easy to integrate into a schema model via Mongoose
  • Document-based storage makes it easy to work within a full stack Javascript environment
  • Getting MongoDB installed locally can be a challenge
  • The CLI can be kind of confusing for beginners, but MongoDB Compass makes up for that
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Miguelangel Nuñez | TrustRadius Reviewer
Score 9 out of 10
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Pros and Cons

  • With the ideal performance configuration, MongoDB is a great tool to manage data in a blazing fast way.
  • The document-oriented database has certain advantages: good fit for modern JavaScript frameworks (direct use of JSON), flexibility, big data processing and real time statistics/data analysis.
  • MongoDB is very easy to understand.
  • The resulting database is heavier than in a SQL relational database system
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Brett Knighton | TrustRadius Reviewer
Score 9 out of 10
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Pros and Cons

  • Easy to set up in AWS.
  • Easy to scale. If you're worried about growth while maintaining consistent performance adding nodes is easy.
  • Mongo typically will typically require more storage space for the "same" amount of data stored in a normalized database.
  • Many features of other popular databases aren't available in Mongo such as Joins and Transactions.
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Anonymous | TrustRadius Reviewer
Score 7 out of 10
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Pros and Cons

  • We get a lot of data in, with various schemas depending on the request so MongoDB is a great pool for all the data.
  • It's simple, and the fact that it's non-relational makes it easy to add data from the pipeline.
  • Since it's all JSON it's super easy to pass it all into the frontend with a request.
  • Two edged sword, since it's not a relational db the data is kind of "loosey-goosey" and can be hard to keep track of.
  • It's newer than something like MySQL, and also has a different use case, but as such has less community support.
  • Compared to MySQL it's a heavier product.
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Anonymous | TrustRadius Reviewer
Score 9 out of 10
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Pros and Cons

  • No need to write a complicated query such as MySQL. Writing the query in MongoDB is easier as compared to MySQL.
  • 3rd-party libraries and framework support are increasing day by day.
  • We get too many tutorials for understanding MongoDB. Provide a proper tutorial which is easier for a developer to understand the code.
  • Adding more and more features will motivate the developer to use MongoDB.
  • Third party library should be increased.
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Joshua Weaver | TrustRadius Reviewer
Score 8 out of 10
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Pros and Cons

  • Easy to learn. When I picked up MongoDB for the first time, I had little background in database management or modeling. If you have a background in javascript (and JSON)... then you can figure out how to use MongoDB pretty fast.
  • Fast performance.
  • It's relatively easy to set up in certain environments because there are lots of ready-made solutions out there.
  • There's a lot of support in the existing ecosystem for it —, especially in the node.js realm.
  • Query syntax is pretty simple to grasp and utilize.
  • Aggregate functions are powerful.
  • Scaling options.
  • Documentation is quite good and versioned for each release.
  • An aggregate pipeline can be a bit overwhelming as a newcomer.
  • There's still no real concept of joins with references/foreign keys, although the aggregate framework has a feature that is close.
  • Database management/dev ops can still be time-consuming if rolling your own deployments. (Thankfully there are plenty of providers like Compose or even MongoDB's own Atlas that helps take care of the nitty-gritty.
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Nikita kumari | TrustRadius Reviewer
Score 9 out of 10
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Pros and Cons

  • The schema-less feature really makes it easier to use.
  • As we know this is free and it allows to run queries on Linux as well.
  • Data retrieving is faster than other databases.
  • It provides less flexibilty while writing complex queries.
  • It should support multiple document level.
  • This takes higher size to store data.
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Jon Kern | TrustRadius Reviewer
Score 10 out of 10
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Pros and Cons

  • As a software architect, I like the ease with which MongoDB avoids the typical "impedance mismatch" between traditional SQL and the object-oriented problem domain classes. MongoDB (via mongoid) in our Rails app is like a "hot knife through butter." It is much more akin to an OODBMS than anything else.
  • MongoDB is easy to use throughout product development as it is the "honey badger" of databases. As your product rapidly goes from idea to startup to scaling, MongoDB makes it easier than any SQL database I ever used. You spend more time building your solution, and less time worrying about feeding, nurturing, and migrating the SQL beast.
  • The ease with which you can spin up replica sets is amazing. No more excuses that you could not build a robust persistence layer. (Especially if you tack on services like MongoDB cloud offerings.)
  • I also take advantage of the geo-aware spatial indexing. To be able to geocode users, logins, problem domain classes (entities with an address), and do geo-aware queries -- like find me all of the X within Y miles of point Z. Booyah!
  • I love the idea of Map-Reduce native support in MongoDB. Admittedly I have not used it as much as I would like -- it always seems to trip me up.
  • Recent additions to the aggregation queries have helped reduce (no pun intended) my need to better wield the weapon that is Map-Reduce.
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Fernando Malave | TrustRadius Reviewer
Score 8 out of 10
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Pros and Cons

  • Unlike relational databases, NoSQL databases are based on key-value pairs. MongoDB is the major NoSQL database.
  • Some types of NoSQL database stores include column stores, document stores, key values, graphics, objects, XML, and other data warehouse modes.
  • The interface is a little complicated to learn.
  • They could improve compatibility with other NoSQL databases.
  • I have had problems with data relationships when information is very large.
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Sonaj Gupta | TrustRadius Reviewer
Score 9 out of 10
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Pros and Cons

  • Its ease of scale means auto balancing and reads by using replica sets.
  • It's cheaper in cost and depends upon RDBMS structure. It is platform independent and we can run on Linux as well
  • Its DB is schema-less if you want free and flexible table documents you should follow MongoDB so I recommend it
  • When one problem occurs we can't use joins and flexibility queries.
  • Data size in MongoDB is typically higher due to document failed names stored it.
  • It is not a great solution for performing a lot of writes when data size grows. It became lazy and we use other software to bring it back.
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Daniele Graziani | TrustRadius Reviewer
Score 10 out of 10
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Pros and Cons

  • MongoDB offers Stitch, which can replace a lot of backend code through its API. It can also integrate your application with a lot of services such as Twilio.
  • Change Streams allow you to create responsive applications.
  • The BI Connector has been redesigned and it has become a lot faster to set up.
  • Stitch is still in Beta. A few features are still not available. I expect those features to be available in 2018 sometime. Example features missing are Change Streams and $text.
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Feature Scorecard Summary

Performance (20)
8.9
Availability (20)
8.9
Concurrency (20)
8.5
Security (20)
8.4
Scalability (20)
8.8
Data model flexibility (20)
9.3
Deployment model flexibility (20)
8.8

About MongoDB

MongoDB (from "humongous") is an open source document-oriented database system developed and supported by 10gen. It is part of the NoSQL family of database systems. Instead of storing data in tables as is done in a "classical" relational database, MongoDB stores structured data as JSON-like documents with dynamic schemas (MongoDB calls the format BSON), making the integration of data in certain types of applications easier and faster.

According to the vendor, organizations from cutting-edge startups to the largest companies use MongoDB to create applications never before possible at a fraction of the cost of legacy databases. The vendor says MongoDB is the fastest-growing database ecosystem, with over 10 million downloads, thousands of customers, and over 1,000 technology and service partners.

MongoDB Features

Has featureComprehensive monitoring for full-performance visibility
Has featureAutomated database management for 10-20x more efficient ops
Has featureFully-managed backup for your peace of mind

MongoDB Screenshots

MongoDB Integrations

MongoDB Competitors

Pricing

  • Has featureFree Trial Available?Yes
  • Has featureFree or Freemium Version Available?Yes
  • Does not have featurePremium Consulting/Integration Services Available?No
  • Entry-level set up fee?No

MongoDB Technical Details

Deployment Types:SaaS
Operating Systems: Unspecified
Mobile Application:No