Amazon DynamoDB is a cloud-native, NoSQL, serverless database service.
$0
capacity unit per hour
Amazon Elastic Block Store (EBS)
Score 9.3 out of 10
N/A
Amazon Elastic Block Store (EBS) from AWS is designed for application workloads that benefit from fine tuning for performance, cost and capacity. Typical use cases include Big Data analytics engines (like the Hadoop/HDFS ecosystem and Amazon EMR clusters), relational and NoSQL databases (like Microsoft SQL Server and MySQL or Cassandra and MongoDB), stream and log processing applications (like Kafka and Splunk), and data warehousing applications (like Vertica and Teradata).
N/A
Pricing
Amazon DynamoDB
Amazon Elastic Block Store (EBS)
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
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Offerings
Pricing Offerings
Amazon DynamoDB
Amazon Elastic Block Store (EBS)
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Amazon DynamoDB
Amazon Elastic Block Store (EBS)
Features
Amazon DynamoDB
Amazon Elastic Block Store (EBS)
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
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.
EBS is well-suited for use as a storage option for databases, including relational databases, NoSQL databases, and big data analytics databases. EBS can provide high IOPS (Input/Output Operations per Second) and low latency. EBS provides a high-availability storage solution, which ensures that your data is always available and accessible even in case of a single or multiple availability zone failures. EBS can also be replicated across multiple availability zones to ensure data durability. The scenario where I find it less appropriate is in terms of cost; EBS can be more expensive than other storage options, such as Amazon S3, especially for large amounts of data or for infrequently accessed data.
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.
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.
Amazon EBS is a great tool and fairly easy to use as long as you are familiar with the Amazon Web Service ecosystem. It allows a great way for you to move storage around easily and allows you to quickly provision storage as needed based on the business requirement. For us, it's easy to move between our EC2 images that had been linked with EBS storage between these Amazon accounts.
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.
The support for Amazon Elastic Block Store is great as long as you can articulate your needs. Like most tools, there may be some back and forth before you find a support person that is knowledgable in the tool and can provide you with necessary insights.
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.
Volumes range from cost-effective dollar-per-GB to high performance with the fastest IOPS and throughput. You can change volume types, tune performance, or increase volume size without disrupting your critical applications. EBS volumes are replicated within an Availability Zone (AZ) and can easily scale to petabytes of data. Build your SAN in the cloud for I/O-intensive applications. Run relational or NoSQL databases.
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.
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.
In terms of ROI, I found it's really cost-effective since maintenance cost is not there. No need to spend extra money on the procurement of hard drives
On demand feature of Ebs is quite effective when you require extra storage you can allocate and pay as per your need.
Accessibility from everywhere and deployment of it across different geographical location.