Amazon DynamoDB vs. NCache

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon DynamoDB
Score 8.5 out of 10
N/A
Amazon DynamoDB is a cloud-native, NoSQL, serverless database service.
$0
capacity unit per hour
NCache
Score 0.0 out of 10
Enterprise companies (1,001+ employees)
NCache is a 100% .NET / .NET Core Open Source in-memory distributed cache. NCache is built to provide a fast and linearly scalable distributed cache that caches application data and reduces expensive database trips. The vendor states NCache can remove performance bottlenecks related to data storage and databases and scale .NET and Java applications to extreme transaction processing (XTP).N/A
Pricing
Amazon DynamoDBNCache
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
No answers on this topic
Offerings
Pricing Offerings
Amazon DynamoDBNCache
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional DetailsNCache Enterprise (On-Premises & Azure/AWS Marketplace) Annual Subscription Price Developer Machine***FREE Remote Client**Call for annual price* Cache ServerCall for annual price* Annual Maintenance & Support (office hours)Included 24x7 SupportCall for annual price*
More Pricing Information
Community Pulse
Amazon DynamoDBNCache
Features
Amazon DynamoDBNCache
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Amazon DynamoDB
9.2
Ratings
4% above category average
NCache
-
Ratings
Performance9.30 Ratings00 Ratings
Availability9.50 Ratings00 Ratings
Concurrency9.00 Ratings00 Ratings
Security9.20 Ratings00 Ratings
Scalability9.40 Ratings00 Ratings
Data model flexibility8.20 Ratings00 Ratings
Deployment model flexibility10.00 Ratings00 Ratings
Best Alternatives
Amazon DynamoDBNCache
Small Businesses
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon DynamoDBNCache
Likelihood to Recommend
8.9
(0 ratings)
-
(0 ratings)
Likelihood to Renew
10.0
(0 ratings)
-
(0 ratings)
Usability
9.1
(0 ratings)
-
(0 ratings)
Performance
9.1
(0 ratings)
-
(0 ratings)
Support Rating
5.2
(0 ratings)
-
(0 ratings)
Product Scalability
9.1
(0 ratings)
-
(0 ratings)
User Testimonials
Amazon DynamoDBNCache
Likelihood to Recommend
It is useful use-case by use-case. For our use case, it was the best and easiest option for the integration as well as development side. It is serverless so no need of deployment and maintenance hustle. It is easy to scale up due to the same functionality. Supports AWS Security features and just a click away for enabling it so security is good.
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Pros
  • 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.
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Cons
  • Cost model may not be easy to control and may lead to higher costs if not carefully planned
  • Indexing may be a cost culprit when not planned, because it's not included on the data costs
  • The Query Language may not fulfill everybody's expectations, as it has less features than those of competitors.
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Likelihood to Renew
It's core to our business, we couldn't survive without it. We use it to drive everything from FTP logins to processing stories and delivering them to clients. It's reliable and easy to query from all of our pipeline services. Integration with things like AWS Lambda makes it easy to trigger events and run code whenever something changes in the database.
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Usability
Functionally, DynamoDB has the features needed to use it. The interface is not as easy to use, which impacts its usability. Being familiar with AWS in general is helpful in understanding the interface, however it would be better if the interface more closely aligned with traditional tools for managing datastores.
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Performance
While the actual performance of DynamoDB can vary based on workload and region, it is generally highly responsive and well-regarded for delivering low-latency access to data, making it a strong choice for applications with stringent performance requirements. Organizations often choose DynamoDB for its ability to provide a reliable and performant database service, particularly when combined with effective application design and optimization.
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Support Rating
I have not had to contact support for this service, however I have had to contact AWS for other services and their support has been good.
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Alternatives Considered
For our use case, we needed a noSQL that would work with AWS Lambdas of specific parts of the internal web applications. We optimized billing and uses , diversified databases for various parts; so it’s not very expensive.
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Scalability
I have taken one point away due to its size limits. In case the application requires queries, it becomes really complicated to read and write data. When it comes to extremely large data sets such as the case in my company, a third-party logistics company, where huge amount of data is generated on a daily basis, even though the scalability is good, it becomes difficult to manage all the data due to limits.
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Return on Investment
  • Businesses may only pay for the services they actually use thanks to DynamoDB's usage-based pricing approach.
  • AWS handles hardware provisioning, data recovery, fault tolerance, patching, and database upgrades for DynamoDB since it is a fully managed database service.
  • DynamoDB differs from conventional relational databases in terms of its data model, which might be difficult for developers accustomed to dealing with SQL-based systems.
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ScreenShots

Amazon DynamoDB Screenshots

Screenshot of Amazon DynamoDB in the AWS Console

NCache Screenshots

Screenshot of Performance Benchmarks