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MongoDB
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MongoDB Pricing Overview

Pricing Insights

Averages based on real user reviews.

Time to Implement

3 months

Return on Investment

10 months

Average Discount

12%

Perceived Cost

$$$$$
MongoDB has not provided pricing information for this product or service. This is common practice for software sellers and service providers. The pricing insights provided here are based on user reviews and are intended to give you an indication of value. Alternatively, contact MongoDB to obtain current pricing.
NamePriceFeatures
Small-Business
$$
6% less expensive

than the avg. Document Databases product

Mid-Market
$$
18% less expensive

than the avg. Document Databases product

Enterprise
$
37% less expensive

than 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

MongoDB Alternatives Pricing

The following is a quick overview of editions offered by other Document Databases

ArangoDB
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.
  • Fully Managed: ArangoDB Oasis offers a fully-managed graph database, document store and full-text search engine. All in one place
  • Highly Secure: Encryption at transit & at rest guarantee all your data is encrypted before it hits the disk or send over the network. In addition, you can assign fine-grained access control policies to your organization, your projects or deployments. This assigns permissions to groups or individual users
OrientDB
Community
FREE
The Community Edition is released with Apache2 license, that means FREE for any purpose.
    Amazon DocumentDB
    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 Pricing Reviews

      MK
      Software engineer
      Enterprise(> 1000 emp.)
      More Options
      Validated Reviewer
      Review source: Organic Review from User Profile
      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.

      What problems is MongoDB solving and how is that benefiting you?

      MongoDB solves several problems related to data management. Earlier traditional databases required a fixed schema which made difficult to handle large data. MongoDb allows flexible schema which allows us to easily change data models without much downtime.

      Also there was problem with scaling and it was very costly. MongoDb solved this problem also. It can be scaled horizontally by adding more servers in les cost.

      It handles large volumes of data without degrading in performance. Review collected by and hosted on G2.com.

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