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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    MongoDB

    Score8.8 out of 10
    N/AMongoDB is an open source document-oriented database system. 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.

    $0.10

    million reads

    Pricing
    MongoDB
    Editions & Modules
    Shared
    $0
    per month
    Serverless
    $0.10million reads
    million reads
    Dedicated
    $57
    per month
    Offerings
    Pricing Offerings
    MongoDB
    Free Trial
    Yes
    Free/Freemium Version
    Yes
    Premium Consulting/Integration Services
    No
    Entry-level Setup FeeNo setup fee
    Additional DetailsFully managed, global cloud database on AWS, Azure, and GCP
    More Pricing Information
    Community Pulse
    MongoDB
    Considered Both Products
    MongoDB
    Chose MongoDB
    The environment I work in is somewhat unique in that we use both MySQL and MongoDB. However, each is used for specific purposes that the other is not well suited for. MongoDB is not a relational database like MySQL, so it serves as the perfect place to dump key bits of data for …
    Incentivized
    Chose MongoDB
    We wanted to try something which is not a relation DB and has more of distributed architecture. MongoDB turned out to be a great choice.
    Incentivized
    Chose MongoDB
    None
    Incentivized
    Chose MongoDB
    We have [measured] the speed in reading/write operations in high load and finally select the winner = MongoDBWe have [not] too much data but in case there will be 10 [times] more we need Cassandra. Cassandra's storage engine provides constant-time writes no matter how big your …
    Incentivized
    Chose MongoDB
    Both Couchbase and MongoDB are document-oriented NoSQL databases, so they have very similar features. While they do have some fundamental differences in terms of how they scale, shard, etc. the one key reason why we went with MongoDB is its availability and support from the …
    Incentivized
    Chose MongoDB
    The flexible structure underlying MongoDB's construction is not found in other competitors; the ability to easily change the structure without affecting other stored documents. It is very ideal for projects that you cannot predict that the structure will change this way. Of …
    Incentivized
    Chose MongoDB
    Implementing new features for application becomes simpler with MongoDB since you don't need to run database migration scripts just to for example add new fields to database only to store some extra data. This is especially good for the deployment phase. Only new version of …
    Incentivized
    Chose MongoDB
    MongoDB is a robust and scalable db which offers a lot of cool features out of the box. Being open sourced and backed by a great community with developer tools like mongo compass , it was a no-brainer to go for it. It has connectors in almost all programming languages and is a …
    Incentivized
    Chose MongoDB
    MongoDB is more of a general purpose nosql database, while Elasticsearch is a search engine oriented nosql solution.
    Percona Server for MongoDB is a more suitable solution for the enterprise field.
    Incentivized
    Chose MongoDB
    I would say Cassandra is better than MongoDB since it has the backing of Facebook to it. Its inherent properties like versioning put it into the other category of columnar databases, but it's one of the NoSQL databases which you should definitely consider for your organization …
    Incentivized
    Chose MongoDB
    MongoDB is the most reliable and fastest for storing document-based data. It has a place among the most popular DB's these days.
    Incentivized
    Chose MongoDB
    This tool is only capable of reading real-time data very smoothly. The transition was also pretty easy and quick. Syntax is also very easy and comfortable to learn and use.

    The main reason for selecting is that it works very fast under the Intellijet module environment and we …
    Incentivized
    Chose MongoDB
    In our early development days we weighed NoSQL databases like MongoDB with RDBMS solutions like MySQL. We were more familiar with MySQL from past experience but also were wary of painful data migrations that slowed down development iterations and increased the risk of outages …
    Incentivized
    Chose MongoDB
    Also, using DocumentDB, and both are good, each was chosen based on the developer's expertise. So take advantage of in-house skills.
    Incentivized
    Chose MongoDB
    Snowflake and Redshift are much more mature and have been around longer. MongoDB is definitely much less expensive and if you are in a startup, this is an almost for-sure option. Redshift can be slow and Mongo is much faster. However, losing the relational database aspect could …
    Incentivized
    Chose MongoDB
    I just felt MongoDB was easier to use and more cost-effective. Aggregation pipelines are great.
    Incentivized
    Chose MongoDB
    It's very fast and easiest to use. Many companies are using this nowadays. It's helped to complete many software products very quickly so the year income has increased compared with last years. Many programmers are now leaning this tool as back end developers so that we changed …
    Incentivized
    Chose MongoDB
    We selected MongoDB because of the following
    • Ease of deployment
    • Use and provisioning on their cloud
    Incentivized
    Chose MongoDB
    MongoDB is our go-to database solution for any project, and the more we work with it the more we love it. Some say that NoSQL is pointless... Our developers wholeheartedly disagree, because they love working with it. Though both NoSQL and SQL have their purposes, in most …
    Incentivized
    Chose MongoDB
    Your default choice should not be MongoDB in my opinion. Most user-facing systems are relational by nature so a well known and reliable SQL database would be easier to maintain and simpler to develop long term. If you highly value speed of development go with Firebase. If you …
    Incentivized
    Chose MongoDB
    It does not belong to certain cloud platforms. MongoDB is an independent program that works with any cloud platform including Amazon Web Services and the Google Cloud Platform. For companies who want to maintain a cloud agnostic structure, MongoDB is a great choice for NoSQL …
    Incentivized
    Chose MongoDB
    We wanted to use free ware relational database for our need. MongoDB was perfect fit.
    Incentivized
    Chose MongoDB
    MongoDB and Cassandra are both database system from the NoSQL family. MongoDB can be used in lots of use cases while Cassandra has a specific usage. There are some features that MongoDB provides efficiently while Cassandra doesn't and vice-versa. Like, you can update the data …
    Incentivized
    Chose MongoDB
    We tend to choose MongoDB when we're faced with a particular situation: we know that we need a NoSQL database in general, and want an open-source implementation that allows us to prevent against platform lock-in. Amazon's new DocumentDB product even allows us to choose to use …
    Incentivized
    Key User Insights
    Would buy again
    100%
    Would buy again
    12 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    12 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    12 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    9 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    12 Answers
    Features
    MongoDB
    NoSQL Databases
    Comparison of NoSQL Databases features of MongoDB
    Feature
    MongoDB
    10.0
    39 Ratings
    16% above category average
    Performance10.039 Ratings
    Availability10.039 Ratings
    Concurrency10.039 Ratings
    Security10.039 Ratings
    Scalability10.039 Ratings
    Data model flexibility10.039 Ratings
    Deployment model flexibility10.038 Ratings
    Best Alternatives
    MongoDB
    Small Businesses
    IBM Cloudant
    Score7.4 out of 10
    Medium-sized Companies
    IBM Cloudant
    Score7.4 out of 10
    Enterprises
    IBM Cloudant
    Score7.4 out of 10
    All AlternativesView all alternatives
    User Ratings
    MongoDB
    Likelihood to Recommend
    10.0
    (79 ratings)
    Likelihood to Renew
    10.0
    (67 ratings)
    Usability
    10.0
    (15 ratings)
    Availability
    9.0
    (1 ratings)
    Support Rating
    9.6
    (13 ratings)
    Implementation Rating
    8.4
    (2 ratings)
    User Testimonials
    MongoDB
    Likelihood to Recommend
    MongoDB
    If asked by a colleague I would highly recommend MongoDB. MongoDB provides incredible flexibility and is quick and easy to set up. It also provides extensive documentation which is very useful for someone new to the tool. Though I've used it for years and still referenced the docs often. From my experience and the use cases I've worked on, I'd suggest using it anywhere that needs a fast, efficient storage space for non-relational data. If a relational database is needed then another tool would be more apt.
    Incentivized
    Read full review
    Pros
    MongoDB
    • 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.
    Incentivized
    Read full review
    Cons
    MongoDB
    • 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.
    Incentivized
    Read full review
    Likelihood to Renew
    MongoDB
    I am looking forward to increasing our SaaS subscriptions such that I get to experience global replica sets, working in reads from secondaries, and what not. Can't wait to be able to exploit some of the power that the "Big Boys" use MongoDB for.
    Incentivized
    Read full review
    Usability
    MongoDB
    NoSQL database systems such as MongoDB lack graphical interfaces by default and therefore to improve usability it is necessary to install third-party applications to see more visually the schemas and stored documents. In addition, these tools also allow us to visualize the commands to be executed for each operation.
    Incentivized
    Read full review
    Support Rating
    MongoDB
    Finding support from local companies can be difficult. There were times when the local company could not find a solution and we reached a solution by getting support globally. If a good local company is found, it will overcome all your problems with its global support.
    Incentivized
    Read full review
    Implementation Rating
    MongoDB
    While the setup and configuration of MongoDB is pretty straight forward, having a vendor that performs automatic backups and scales the cluster automatically is very convenient. If you do not have a system administrator or DBA familiar with MongoDB on hand, it's a very good idea to use a 3rd party vendor that specializes in MongoDB hosting. The value is very well worth it over hosting it yourself since the cost is often reasonable among providers.
    Incentivized
    Read full review
    Alternatives Considered
    MongoDB
    We have [measured] the speed in reading/write operations in high load and finally select the winner = MongoDBWe have [not] too much data but in case there will be 10 [times] more we need Cassandra. Cassandra's storage engine provides constant-time writes no matter how big your data set grows. For analytics, MongoDB provides a custom map/reduce implementation; Cassandra provides native Hadoop support.
    Read full review
    Return on Investment
    MongoDB
    • Open Source w/ reasonable support costs have a direct, positive impact on the ROI (we moved away from large, monolithic, locked in licensing models)
    • You do have to balance the necessary level of HA & DR with the number of servers required to scale up and scale out. Servers cost money - so DR & HR doesn't come for free (even though it's built into the architecture of MongoDB
    Read full review
    ScreenShots

    MongoDB Screenshots

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