Amazon DynamoDB vs Amazon Neptune comparison

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Amazon Web Services (AWS) Logo
3,905 views|3,377 comparisons
96% willing to recommend
Amazon Web Services (AWS) Logo
1,864 views|1,397 comparisons
100% willing to recommend
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Executive Summary

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

Find out what your peers are saying about Microsoft, Amazon Web Services (AWS), Google and others in Managed NoSQL Databases.
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
"Amazon DynamoDB is powerful and fast. Its performance is good.""The technical support team is always available to help us.""Storing is a valuable feature. We can store as an entire object rather than the traditional structure of the data.""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.""One of the most valuable features of Amazon DynamoDB is it can handle unstructured or semi-structured data.""Amazon DynamoDB is a fully managed service by AWS, and it is designed to provide fast and predictable performance.""Stability-wise, I rate the solution a ten out of ten. I've never faced any problems.""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."

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"Relational databases are never good at identifying patterns in graphs or other similar relationships, whereas Amazon Neptune is."

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Cons
"Amazon DynamoDB could improve by being more robust, having a better user interface and data management. Additionally, there is some limited functionality compared to other solutions, such as MongoDB.""The pricing for larger databases is higher.""The primary key is quite slow.""There are some issues like if we missed something or somehow were not able to store the data, then it was quite difficult for us to get back that data.""The solution has size limitations. It also needs to be more user-friendly.""The solution could be cheaper.""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.""They could provide more information or training programs to deliver knowledge to the engineers about the components of relational databases similar to popular vendors."

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"Amazon Neptune could improve by spreading more awareness for others to have an understanding of the solution because the technology is fairly new. The developer community and larger community do not understand it yet."

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Pricing and Cost Advice
  • "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 →

  • "Microsoft Azure and Amazon AWS are on par for pricing and Google has been raising its prices."
  • More Amazon Neptune Pricing and Cost Advice →

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    Questions from the Community
    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.
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    2nd
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    8.5
    5th
    Views
    1,864
    Comparisons
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    Overview

    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.

    Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency. Amazon Neptune supports popular graph models Property Graph and W3C's RDF, and their respective query languages Apache TinkerPop Gremlin and SPARQL, allowing you to easily build queries that efficiently navigate highly connected datasets. Neptune powers graph use cases such as recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security.

    Amazon Neptune is highly available, with read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across Availability Zones. Neptune is secure with support for HTTPS encrypted client connections and encryption at rest. Neptune is fully managed, so you no longer need to worry about database management tasks such as hardware provisioning, software patching, setup, configuration, or backups.

    Sample Customers
    Samsung, Snapchat, Capital One, Expedia, Tinder, Airbnb, Comcast, Lyft, Redfin, Netflix, Adobe
    Intuit, Pearson, Samsung, Ignition One, Lifeomic, Blackfynn, Paysense
    Top Industries
    REVIEWERS
    Comms Service Provider27%
    Computer Software Company18%
    Healthcare Company9%
    University9%
    VISITORS READING REVIEWS
    Computer Software Company19%
    Financial Services Firm16%
    Manufacturing Company6%
    Comms Service Provider6%
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Computer Software Company15%
    Manufacturing Company9%
    Government6%
    Company Size
    REVIEWERS
    Small Business53%
    Midsize Enterprise7%
    Large Enterprise40%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise12%
    Large Enterprise65%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise10%
    Large Enterprise70%
    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.
    770,428 professionals have used our research since 2012.

    Amazon DynamoDB is ranked 2nd in Managed NoSQL Databases with 29 reviews while Amazon Neptune is ranked 5th in Managed NoSQL Databases. Amazon DynamoDB is rated 8.4, while Amazon Neptune is rated 9.0. The top reviewer of Amazon DynamoDB writes "Manages our contact center dynamically and allows us to store multiple data attributes in tables". On the other hand, the top reviewer of Amazon Neptune writes "Useful pattern identification, price well, and straightforward implementation". Amazon DynamoDB is most compared with Amazon DocumentDB, Google Cloud Bigtable, Microsoft Azure Cosmos DB, Amazon Timestream and Oracle NoSQL Database Cloud, whereas Amazon Neptune is most compared with Microsoft Azure Cosmos DB, Amazon Timestream, Neo4j AuraDB and Amazon DocumentDB.

    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.