Amazon DynamoDB vs. Neo4j

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon DynamoDB
Score 8.8 out of 10
N/A
Amazon DynamoDB is a cloud-native, NoSQL, serverless database service.
$0
capacity unit per hour
Neo4j
Score 4.4 out of 10
N/A
Neo4j is an open source embeddable graph database developed by Neo Technologies based in San Mateo, California with an office in Sweden.
$65
per month
Pricing
Amazon DynamoDBNeo4j
Editions & Modules
Provisioned - Read Operation
$0.00013
capacity unit per hour
Provisioned - Write Operation
$0.00065
capacity unit per hour
Provisioned - Global Tables
$0.000975
per Read Capacity
On-Demand Streams
$0.02
per 100,000 read operations
Provisioned - Streams
$0.02
per 100,000 read operations
On-Demand Data Requests Outside AWS Regions
$0.09
per GB
Provisioned - Data Requests Outside AWS Regions
$0.09
per GB
On-Demand Snapshot
$0.10
per GB per month
Provisioned - Snapshot
$0.10
per GB per month
On-Demand Restoring a Backup
$0.15
per GB
Provisioned - Restoring a Backup
$0.15
per GB
On-Demand Point-in-Time Recovery
$0.20
per GB per month
Provisioned - Point-in-Time Recovery
$0.20
per GB per month
On-Demand Read Operation
$0.25
per million requests
On-Demand Data Stored
$0.25
per GB per month
Provisioned - Data Stored
$0.25
per GB per month
On-Demand - Write Operation
$1.25
per million requests
On-Demand Global Tables
$1.875
per million write operations replicated
Aura Professional
$65
per month
Community Edition
Free
Enterprise Edition
Contact Sales
Aura Free
Free
Aura Enterprise
Contact Sales
Offerings
Pricing Offerings
Amazon DynamoDBNeo4j
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Amazon DynamoDBNeo4j
Considered Both Products
Amazon DynamoDB
Chose Amazon DynamoDB
We started using DynamoDB because of the AWS ecosystem; it integrates well with everything. The IAM for role management as well. But using MongoDB with other AWS products was not seamless; we had to create custom APIs to make it work. But if the need for your organization is …
Neo4j

No answer on this topic

Top Pros
Top Cons
Features
Amazon DynamoDBNeo4j
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Amazon DynamoDB
9.5
27 Ratings
8% above category average
Neo4j
-
Ratings
Performance9.227 Ratings00 Ratings
Availability10.027 Ratings00 Ratings
Concurrency9.726 Ratings00 Ratings
Security9.727 Ratings00 Ratings
Scalability10.026 Ratings00 Ratings
Data model flexibility8.827 Ratings00 Ratings
Deployment model flexibility9.324 Ratings00 Ratings
Best Alternatives
Amazon DynamoDBNeo4j
Small Businesses
IBM Cloudant
IBM Cloudant
Score 9.3 out of 10
IBM Cloudant
IBM Cloudant
Score 9.3 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 9.3 out of 10
IBM Cloudant
IBM Cloudant
Score 9.3 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 9.3 out of 10
IBM Cloudant
IBM Cloudant
Score 9.3 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon DynamoDBNeo4j
Likelihood to Recommend
9.2
(37 ratings)
3.8
(9 ratings)
Likelihood to Renew
8.4
(33 ratings)
-
(0 ratings)
Usability
8.4
(4 ratings)
6.0
(1 ratings)
Support Rating
6.8
(4 ratings)
-
(0 ratings)
User Testimonials
Amazon DynamoDBNeo4j
Likelihood to Recommend
Amazon AWS
DynamoDB is a great service if you are looking for a quick and easy way to store NoSQL data in the cloud and do not want to be concerned with managing the server or infrastructure. If you are already invested in AWS, the value proposition is even higher as it works very well with the other services that AWS provides.
Read full review
Neo Technologies
Neo4J is great for creating network graphs or illustrating how things are related. It is also good for finding individuals or things that have greater influence than others in a system. It is not appropriate if you have standard data sets that can be analyzed using conventional methods or visualized using Tableau, for example.
Read full review
Pros
Amazon AWS
  • It's very easy to get started, creating a table with a partition/sort key and you're on your way.
  • You can scale up and down your read/write IO as needed.
  • You can store structured and unstructured data.
  • It works great with Web Development as it's JSON based.
Read full review
Neo Technologies
  • Mature Query language, I found Cypher QL to be mature in handling all sorts of problems we throw at it. Its expressive enough to be intuitive while providing rich features for various scenarios.
  • Native support for REST API, that makes interacting with Neo4J intuitive and easy.
  • Support for Procedures in Java, procedures are custom code that could be added to the Neo4J to write custom querying of data. The best part about the procedures is it could be invoked using the REST API. This allows us to overcome any shortcomings from their Cypher query language.
  • Nice UI and interface for executing the Query and visualizing the response.
  • UI access controlled by User credentials allows for neat access controls.
  • Awesome free community edition for small-scale projects.
Read full review
Cons
Amazon AWS
  • Complex searching (no support for case-insensitive or full-text search).
  • Only supports up to two-key indexes.
  • Requires choosing the indexes up-front when doing searches.
  • Does not have an SQL compatible query front-end.
  • No join-table support (requires putting all data into one table).
Read full review
Neo Technologies
  • One of the hardest challenges that Neo4j had to solve was the horizontal scaling problem. I am not updated on recent developments, but at the time of my use, I couldn't find a viable solution.
  • Neo4j does not play with other open source APIs like Blueprint. You have to use the native Neo4j API.
  • There wasn't a visual tool to see your data. Of course, third party tools are always available, but I would have loved something which came with the Neo4j bundle. I love that Docker comes bundled with Kitematic, so it's not wrong to hope that Neo4j could also ship with some default visualization software.
Read full review
Likelihood to Renew
Amazon AWS
We will most likely continue to use DynamoDB for certain use-cases. If we stopped using DynamoDB as often, it would likely be because we started using Aurora Serverless more. Aurora Serverless may offer similar availability, management and cost benefits while allowing developers to use their MySQL tools and experience.
Read full review
Neo Technologies
No answers on this topic
Usability
Amazon AWS
Amazon DynamoDB has quite a lot of advantages :
Serverless to make usage and administration a breeze on a daily basis
Very fast lookup in a list of millions of items
Replication across region is quite easy to setup, albeit at an increased cost.
But despite all this, I would not give it a perfect 10 because I find its item size limit way too small for some of my uses.
Read full review
Neo Technologies
[Based on] Query Language, Performance on small and large data sets, integration and deployment, analysis, API support, Interactive UI.
Read full review
Support Rating
Amazon AWS
I have never contacted support for Amazon DynamoDB.
And I'm adding quite a lot of useless words to this explanation in order to reach the word count that is required despite the heading saying that I can skip this question. It seems there is then a bug here but what software does not have bugs?
Read full review
Neo Technologies
No answers on this topic
Alternatives Considered
Amazon AWS
We evaluated using MongoDB or Amazon DyanmoDB. For us, the biggest advantage is that there's no maintenance cost for Amazon DynamoDB. Mongo gets complicated when you setup sharding. With Amazon DynamoDB, it's literally a push of button to increase throughput. This saves time and money on DevOps resources.
Read full review
Neo Technologies
Neo4j is a graph store and has different use cases compared to another NoSQL Document store like MongoDB. MongoDB is a bad choice when joins are common as existing operators for joining two documents (similar to tables in a relational store) as Mongo 3.5 use SQL like join algorithms which are expensive. MongoDB is a great choice when distributed schemaless rich document structures are important requirements. Cross document transaction support is not native to MongoDB yet, whereas Neo4J is ACID complaint with all its operations.
Read full review
Return on Investment
Amazon AWS
  • Since the Amazon manages the instance, the amount of time a developer needs to spend configuring the database is less. For comparison, if we were to manage the same instance manually, we need to set up EC2 instance, install the DB, setup backup scripts, track backup failures, which is a great overhead for the dev. Using DynamoDB this overhead is reduced and hence having a great ROI.
  • Great documentation and easy setup makes an easy learning curve to transition to DynamoDB. Only caveat is as with any database, the data structure should be thoroughly analyzed for types of querying because there are limitations with the DynamoDB API.
  • Ties very well with rest of the Amazon eco system. Having rest of the applications in Amazon allows managing the application security a breeze.
Read full review
Neo Technologies
  • Positive: Less complex queries on graph structures, than in relational databases.
  • Negative: maintenance is a huge deal, things doesn't work and break, requiring lengthy restore operations.
Read full review
ScreenShots

Amazon DynamoDB Screenshots

Screenshot of Amazon DynamoDB in the AWS Console