Amazon DocumentDB vs Amazon DynamoDB comparison

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1,663 views|1,230 comparisons
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Comparison Buyer's Guide
Executive Summary

We performed a comparison between Amazon DocumentDB and Amazon DynamoDB based on real PeerSpot user reviews.

Find out what your peers are saying about Amazon, Microsoft, Google and others in Managed NoSQL Databases.
To learn more, read our detailed Amazon DynamoDB vs. Microsoft Azure Cosmos DB Report (Updated: November 2022).
654,218 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pricing and Cost Advice
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  • "Its subscription cost is lower than similar databases offered by other vendors."
  • "You can get committed capacity or transaction-based pricing. If you're doing it on demand, they charge based on whether you're reading or writing. They charge $1.25 for every million rights to the database and 25 cents for every million reads from the database. The first 25 gigabytes of storage are free, and they charge 25 cents a gigabyte a month. So, it's a very different world. It's a quarter a gigabyte a month. You can store a lot of data. They have a separate fee for automated backup, and if you want it globally distributed, where it's distributed around the world, there's a slightly different price."
  • "I would rate the pricing for this solution a four out of five."
  • More Amazon DynamoDB Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Amazon DocumentDB offers us many useful features. It is definitely a solution that an organization in need of comprehensive and effective document management should invest its money into. We are… more »
    Top Answer:Migrations are easy using this product.
    Top Answer:The pricing of the solution is pretty good. We don't find it to be too expensive.
    Top Answer:Its scalability is really good. I can go up to a petabyte of data. It is more of an on-demand use case. I can go from 100 MB to 1 PB if I want, which is very good. Most of the other databases would… more »
    Top Answer:Currently, there is no option for a scheduled refresh in this solution. We want the data to be populated into DynamoDB on a timely basis. Currently, you have to go to the DynamoDB table and hit the… more »
    Top Answer:I am currently using it for proof of concept and testing out its capabilities. We are publishing the IoT data on DynamoDB. We have its latest version.
    Ranking
    Views
    1,663
    Comparisons
    1,230
    Reviews
    1
    Average Words per Review
    623
    Rating
    8.0
    Views
    4,770
    Comparisons
    4,110
    Reviews
    6
    Average Words per Review
    488
    Rating
    7.8
    Comparisons
    Learn More
    Overview

    Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads.

    Amazon DocumentDB is designed from the ground-up to give you the performance, scalability, and availability you need when operating mission-critical MongoDB workloads at scale. In Amazon DocumentDB, the storage and compute are decoupled, allowing each to scale independently, and you can increase the read capacity to millions of requests per second by adding up to 15 low latency read replicas in minutes, regardless of the size of your data.

    Amazon DocumentDB is designed for 99.99% availability and replicates six copies of your data across three AWS Availability Zones (AZs). You can use AWS Database Migration Service (DMS) for free (for six months) to easily migrate their on-premises or Amazon Elastic Compute Cloud (EC2) MongoDB databases to Amazon DocumentDB with virtually no downtime.

    Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. You can use Amazon DynamoDB to create a database table that can store and retrieve any amount of data, and serve any level of request traffic. Amazon DynamoDB automatically spreads the data and traffic for the table over a sufficient number of servers to handle the request capacity specified by the customer and the amount of data stored, while maintaining consistent and fast performance.

    Offer
    Learn more about Amazon DocumentDB
    Learn more about Amazon DynamoDB
    Sample Customers
    Finra, The Washington Post, Freshop
    Samsung, Snapchat, Capital One, Expedia, Tinder, Airbnb, Comcast, Lyft, Redfin, Netflix, Adobe
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company17%
    Media Company14%
    Financial Services Firm10%
    Comms Service Provider9%
    VISITORS READING REVIEWS
    Computer Software Company18%
    Comms Service Provider14%
    Media Company13%
    Financial Services Firm8%
    Company Size
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise14%
    Large Enterprise70%
    REVIEWERS
    Small Business60%
    Large Enterprise40%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise14%
    Large Enterprise69%
    Buyer's Guide
    Amazon DynamoDB vs. Microsoft Azure Cosmos DB
    November 2022
    Find out what your peers are saying about Amazon DynamoDB vs. Microsoft Azure Cosmos DB and other solutions. Updated: November 2022.
    654,218 professionals have used our research since 2012.

    Amazon DocumentDB is ranked 4th in Managed NoSQL Databases while Amazon DynamoDB is ranked 1st in Managed NoSQL Databases with 6 reviews. Amazon DocumentDB is rated 0.0, while Amazon DynamoDB is rated 7.8. On the other hand, the top reviewer of Amazon DynamoDB writes "A 10/10 solution with effective transaction-based pricing and stable millisecond response time". Amazon DocumentDB is most compared with Microsoft Azure Cosmos DB, Amazon Timestream and Amazon Neptune, whereas Amazon DynamoDB is most compared with Microsoft Azure Cosmos DB, Google Cloud Bigtable, Amazon Timestream, Amazon Neptune and Oracle NoSQL Database Cloud.

    See our list of best Managed NoSQL Databases vendors.

    We monitor all Managed NoSQL Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.