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MongoDB Pricing Overview
MongoDB has not provided pricing information for this product or service. This is common practice for software sellers and service providers. The pricing insights provided here are based on user reviews and are intended to give you an indication of value. Alternatively, contact MongoDB to obtain current pricing.
| Name | Price | Features |
|---|---|---|
| Small-Business | $$ | 7% less expensivethan the avg. Document Databases product |
| Mid-Market | $$ | 16% less expensivethan the avg. Document Databases product |
| Enterprise | $ | 37% less expensivethan the avg. Document Databases product |
MongoDB pricing & plans
Pricing information for MongoDB is supplied by the software provider or retrieved from publicly
accessible pricing materials. Final cost negotiations to purchase MongoDB must be conducted with the
seller.
Pricing information was last updated on April 28, 2015
Top Rated MongoDB Alternatives
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MongoDB Alternatives Pricing
The following is a quick overview of editions offered by other Document Databases
 ArangoGraph Insights Platform | Contact Us | The managed service for ArangoDB provides fully-hosted, managed, & monitored cluster deployments of any size, with enterprise-grade security. rices depend on selected cloud provider, region, disk & CPU size.
|
 Community | FREE | The Community Edition is released with Apache2 license, that means FREE for any purpose. |
 Amazon DocumentDB Pricing | $0.10 GB/month (prices may vary across AWS regions) GB | Amazon DocumentDB is priced in four dimensions: 1) On-demand instances The amount of compute instances for a cluster (pricing per second with a 10-minute minimum); 2) Database I/O: The amount of I/O used when reading and writing data to your cluster’s storage volume (pricing per million I/Os); 3) Database storage: The amount of data stored in your cluster's storage volume (pricing per GB/month); 4) Backup storage: The amount of backup storage used in excess of your cluster’s database storage usage (pricing per GB/month). Other AWS-wide costs (such as data transfer between applications and DocumentDB across Availability Zones) may also apply. |
Various alternatives pricing & plans
Pricing information for the above various MongoDB alternatives is supplied by the respective software provider or retrieved from publicly accessible pricing materials. Final cost negotiations to purchase any of these products must be conducted with the seller.
MongoDB Categories on G2
MongoDB Pricing Reviews
UC
Verified User in Computer Software
Small-Business(50 or fewer emp.)
What do you like best about MongoDB?
MongoDB makes it simple to work with data, like storing and finding data quickly.
It can handle large volume of data without slowing down.
It is easy to use even if you are not expert.
It is very secure so the only right people can access the data.
It is easy to integrate in code.
The schemaless architecture makes it very useful for raw and especially json data. Review collected by and hosted on G2.com.
What do you dislike about MongoDB?
Using mongoDB might cost high especially for bigger projects with lost of features.
Sometimes it might have bugs or issues that need fixing. Review collected by and hosted on G2.com.
MK
MD EHTASHAAM K.
Software engineer
Enterprise(> 1000 emp.)
What do you like best about MongoDB?
What I like best about MongoDB is its flexibility. Most of the database require fixed schema bt MongoDb allows you to store data in a more dynamic way and document based format. This document based structure is very straightforward and very easy to use even for the newcomers. It is very flexible.
Also setting up MongoDB is quick and it integrates very easily with other platforms.
MongoDB offers strong customer support, with plenty of documentation, community forums, and professional support options. Because of all these features it is frequently and widely use across the globe and industries. Review collected by and hosted on G2.com.
What do you dislike about MongoDB?
However MongoDb is less efficient for complex queries and transactions than traditional databases. Also while handling lare datasets it require very large memory and storage which can be costly.
Proper indexing in MongoDb is also very crucial. Also sometimes it leads to data redundancy. Review collected by and hosted on G2.com.
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