MongoDB
MongoDB
Overview
Recent Reviews
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Popular Features
View all 7 featuresAvailability (36)
9.3
93%
Performance (36)
9.2
92%
Security (36)
8.8
88%
Concurrency (36)
8.2
82%
Reviewer Pros & Cons
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Pricing
View all pricingEntry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting / Integration Services
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Alternatives Pricing
Features Scorecard
NoSQL Databases
9.0
90%
Product Details
What is 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.
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
- Supported: Comprehensive monitoring for full-performance visibility
- Supported: Automated database management for 10-20x more efficient ops
- Supported: Fully-managed backup for your peace of mind
MongoDB Screenshots
MongoDB Video
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MongoDB Integrations
MongoDB Competitors
- Couchbase
- Apache Cassandra
- Oracle Database (legacy)
MongoDB Technical Details
Deployment Types | SaaS |
---|---|
Operating Systems | Unspecified |
Mobile Application | No |
Comparisons
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Frequently Asked Questions
What are MongoDB's top competitors?
Couchbase and Apache Cassandra are common alternatives for MongoDB.
What is MongoDB's best feature?
Reviewers rate Scalability highest, with a score of 9.7.
Who uses MongoDB?
The most common users of MongoDB are from Enterprises (1,001+ employees) and the Computer Software industry.
Reviews and Ratings
(386)
Reviews
(1-25 of 74)- Popular Filters
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July 06, 2022
Perfect No SQL DB is here
- Quick spinning up of DB in cloud
- The documentation is really helpful
- no SQL expertise is needed
- Very good ROI due to free software
- A lot of support from the community
January 17, 2022
Oleg's MongoDB review
- I’m at a loss to give numbers right away, but that’s exactly how the pool of threads is much smaller at high load due to the very high write and read speed of Mongo, as a result, we save up to $ 12,000 per month only on server rental.
July 26, 2021
Want to gain insights from unstructured data? This is the tool that everyone should use.
- Overall efficiency has increased of our team hence ROI also increased.
- We can gather the data from multiple sources simultaneously that is positive for ROI.
- We need to purchase the other tools for statistical analysis which are costly. Hence in this case our ROI gets impacted.
- Our objective has met with this tool many times for reading the data which is very difficult for others tools to process.
- It is under the budget as this is not much costly affair to use this tool.
June 11, 2021
MongoDB by a front-end guy
- It requires somewhat less time to configure as a dev DB, so we saved quite a lot time added up.
- MongoDB enabled us to focus on handling non-relational data which should have been transformed first or stored in a file level. This saved us months in some projects.
May 24, 2021
No data relations, go MongoDB!
- Increased developer productivity.
- Bring new features to market much faster.
May 21, 2021
Stable & Easy to Use
- Completely free and no maintenance costs.
May 08, 2021
No relation, no worry
- Implementing new features to application is faster for developers thanks to flexible data structure.
- Deploying new application version is simpler & less risky since database migrations are rarely needed.
- Less time is used to manage & develop compared to relational database.
May 07, 2021
MongoDB is the way to go!
- Very useful for analytics
- Key component for datawarehousing
- Can handle scalability well and is used across organization
- We can make more open and flexible systems due to its easy adaptation to new evolutions in web applications.
- In the latest versions it offers support for different transactions and we could carry out real tests related to the concurrency of the application.
- MongoDB allows you to have distributed clusters, which improves the speed of the queries by reducing the latency that exists between the database cluster and the service that executes the query.
April 19, 2020
MongoDB: King of NoSQL
- Just positive, easy operations.
- MongoDB reduced development time spent on risky database migration for minor iterations.
- MongoDB has reduced the amount of time we need to spend on database maintenance.
- If it has cost us in terms of ROI, it would be in some of the complexity that's been involved in joining different pieces of data across collections, but that's been somewhat mitigated with GraphQL.
February 26, 2020
MongoDB, The ideal database for your projects in full JavaScript
- Free and open, what more can I say
February 26, 2020
MongoDB, for big unstructured data, it just works.
- Much cheaper than SQL Server
- Low overhead cost, i.e., setup/config/admin
February 26, 2020
MongoDB, powerful flexible and arduous all in one
- On a positive note it has allowed us to rapidly change schemas and add different profiles without needing to go through an extensive data modeling exercise.
- On a negative front it is more difficult to insert and retrieve data from MongoDB for the purposes of external partner integration.
February 26, 2020
Fast, easy to use!
- Executing many operations at once is a definite plus.
- No delay from reporting to what data is actually in the database.
December 12, 2019
MongoDB is the best NoSQL DB
- Using for innovative ideas for potential patent applications.
- Reviewing our master data model to migrate some things out of relational to NoSQL.
August 27, 2019
MongoDB: Scalable NoSQL Database
- Scalable to support multiple users
- Reporting well supported with aggregation framework
- Memory consumption is high
June 14, 2019
Review for MongoDB software
- It's helped to improve overall incomes in my company.
- Many employees have been recruited because of this.
May 20, 2019
MongoDB - Best DocumentDB out there !
- MongoDB has helped us to save costs by avoiding installing and maintaining the software in-house. We use their Atlas service and thus have freed the need for DBAs.
- Migrations are difficult to perform in a reliable manner. On the flip side, they do offer this as a service now.
- Lowered development times
April 09, 2019
Moved to Mongo and never looked back!
- MongoDB has been fast, easy to scale, and affordable to host.
- Even developers coming from SQL have had an easy time adapting to MongoDB.
March 14, 2019
MongoDB: easy to use, easy to shot yourself in the foot
- There where many errors the clients suffered from due to bad migrations and data structuring.
- Development, changes, and migrations where fast.
- Migrations where hard to perform in a reliable manner.
- The company was able to move forward without a DBA.
March 06, 2019
One of the best NoSQL databases you can get
- Its ease of set up saves us time in our NoSQL database.
- The durability of the database gives us peace of mind over not losing data.
- It is a great solution for unstructured data.
February 28, 2019
MongoDB is best tool for NoSQL type based database
- It helped us to solve business problem for storing flexible schema data.
- Replication is very easy and failover works very well.
February 28, 2019
One of the best NoSQL family databases
- Easy to store the raw text data in the form of documents.
- Easy integration with Hadoop's other services.
- Scalability and availability is not an issue with this.
- It doesn't perform well with a high rate of updating on data.