Amazon DocumentDB vs Amazon DynamoDB comparison

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1,964 views|1,500 comparisons
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3,905 views|3,377 comparisons
96% willing to recommend
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Executive Summary

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

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To learn more, read our detailed Managed NoSQL Databases Report (Updated: April 2024).
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Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Migrations are easy using this product.""Its speed has had the most significant impact on our projects. For starters, we used it for its flexibility. With DocumentDB, you're not tied to a rigid structure like you are with Aurora or other relational databases. This makes it great for startups."

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"Amazon DynamoDB is a fully managed service by AWS, and it is designed to provide fast and predictable performance.""We directly pass the JSON value to Amazon DynamoDB, which is why Amazon DynamoDB is faster than relational databases.""One of the most valuable features of Amazon DynamoDB is it can handle unstructured or semi-structured data.""We don't have to administer the tool.""We switched to DynamoDB from a relational database that would've had scale problems and would've cost a lot of money to run at scale. DynamoDB allows us to match expense to usage. When not many people are using and it's a quiet day, there is a low cost. On a busy day, there is a higher cost. We get good performance along the way and less maintenance on the database.""The possibility of managing documents is the most valuable aspect of the solution. I like the fact that I don't have to define the fields.""The best feature of the solution is that it is a NoSQL database.""Amazon DynamoDB allows you to configure your read-write capacity and create a single global table that can be accessed with any other region."

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Cons
"There's a bit of a learning curve at the beginning.""One possible improvement could be a hybrid database solution, where parts of the application leverage a relational database alongside DocumentDB. If a system were heavily relational in nature, a database like PostgreSQL might be a good fit."

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"The primary key is quite slow.""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 refresh button to populate it with the new data. If you have connected DynamoDB to a BI application for creating visualizations with charts, graphs, or other things, you would want it to get updated as per the schedule so that you have updated visualizations in your BI application.""In future releases, I would like a feature that lets us store information about public holidays or weekends. When customers call during those closed periods, we could use DynamoDB to trigger an automatic message. So this would eliminate the need for agents to manually inform customers.""I'd like to see better integration with Cognito. It has the integration, but I'd like to see a little more ease of setup. If you have multiple customers and you want the database to enforce who can see what, you can treat DynamoDB so that each row has permissions. You can set this up, but it's a little more of a science project to make Cognito and DynamoDB work well to do protection of individual rows. So I'd like that to be more wizard or easy to set up.""The solution's efficiency and performance should be faster than other databases.""Having an import option, whether through browsing or local file uploads, would significantly improve the efficiency of data migration, enabling users to swiftly transfer large volumes of data into DynamoDB.""Amazon DynamoDB has a very complex configuration if you go very advanced.""Maybe the documentation could be improved a bit. Sometimes, it's a little confusing, and people can easily be mistaken about DynamoDB."

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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."
  • "It is a little expensive."
  • "On a scale of one to ten, where one is a high price and ten is a low price, I rate the pricing a seven. It is not the cheapest, but it is not the costliest either."
  • "Amazon DynamoDB is cheap."
  • "Compared to a high-end relational database, it's cheap."
  • "For our use case usage, DynamoDB's pricing was okay. However, for high-traffic applications, the pricing structure becomes less attractive."
  • 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:Its speed has had the most significant impact on our projects. For starters, we used it for its flexibility. With DocumentDB, you're not tied to a rigid structure like you are with Aurora or other… more »
    Top Answer:The specific DocumentDB implementation we use is on the expensive side. We tend to use it strategically in complex systems, primarily for lookup capabilities. For simpler use cases, we often choose… more »
    Top Answer:We directly pass the JSON value to Amazon DynamoDB, which is why Amazon DynamoDB is faster than relational databases.
    Top Answer:The solution's efficiency and performance should be faster than other databases.
    Top Answer:Amazon DynamoDB is used to store data in the form of JSON. I use AWS Lambda to insert data into Amazon DynamoDB.
    Ranking
    4th
    Views
    1,964
    Comparisons
    1,500
    Reviews
    1
    Average Words per Review
    695
    Rating
    9.0
    2nd
    Views
    3,905
    Comparisons
    3,377
    Reviews
    21
    Average Words per Review
    510
    Rating
    8.5
    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.

    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 Company18%
    Financial Services Firm17%
    Manufacturing Company8%
    Insurance Company7%
    REVIEWERS
    Comms Service Provider27%
    Computer Software Company18%
    Healthcare Company9%
    University9%
    VISITORS READING REVIEWS
    Computer Software Company19%
    Financial Services Firm16%
    Comms Service Provider6%
    Manufacturing Company6%
    Company Size
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise10%
    Large Enterprise72%
    REVIEWERS
    Small Business53%
    Midsize Enterprise7%
    Large Enterprise40%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise12%
    Large Enterprise66%
    Buyer's Guide
    Managed NoSQL Databases
    April 2024
    Find out what your peers are saying about Microsoft, Amazon Web Services (AWS), Google and others in Managed NoSQL Databases. Updated: April 2024.
    769,599 professionals have used our research since 2012.

    Amazon DocumentDB is ranked 4th in Managed NoSQL Databases with 2 reviews while Amazon DynamoDB is ranked 2nd in Managed NoSQL Databases with 28 reviews. Amazon DocumentDB is rated 8.6, while Amazon DynamoDB is rated 8.4. The top reviewer of Amazon DocumentDB writes "Offers the ability to replicate data across different instances". On the other hand, the top reviewer of Amazon DynamoDB writes "Manages our contact center dynamically and allows us to store multiple data attributes in tables". Amazon DocumentDB is most compared with Microsoft Azure Cosmos DB, Amazon Neptune, Amazon Timestream and Oracle NoSQL Database Cloud, whereas Amazon DynamoDB is most compared with Google Cloud Bigtable, Microsoft Azure Cosmos DB, Amazon Neptune, Amazon Timestream 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.