Amazon DynamoDB is a cloud-native, NoSQL, serverless database service.
$0
capacity unit per hour
DBeaver
Score 8.6 out of 10
N/A
DBeaver offers comprehensive data management tools designed to help teams explore, process, and administrate SQL, NoSQL, and cloud data sources. DBeaver is available commercially as DBeaver PRO and for free as DBeaver Community.
$11
per month per user
Pricing
Amazon DynamoDB
DBeaver
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
Lite Edition Subscription
$11
per month per user
Enterprise Edition Subscription
$25
per month per user
Lite Edition License
$110
per year per user
Enterprise Edition License
$250
per year per user
Ultimate Edition License
$500
per year per user
CloudBeaver Enterprise
$1,000
per year per 5 users
DBeaver Team Edition
$1,280
per year per 1 administrator and 2 developers
Offerings
Pricing Offerings
Amazon DynamoDB
DBeaver
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
Discounts are available for multi-user licenses.
More Pricing Information
Community Pulse
Amazon DynamoDB
DBeaver
Features
Amazon DynamoDB
DBeaver
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Amazon DynamoDB
9.2
69 Ratings
3% above category average
DBeaver
-
Ratings
Performance
9.368 Ratings
00 Ratings
Availability
9.569 Ratings
00 Ratings
Concurrency
9.067 Ratings
00 Ratings
Security
9.269 Ratings
00 Ratings
Scalability
9.468 Ratings
00 Ratings
Data model flexibility
8.266 Ratings
00 Ratings
Deployment model flexibility
10.023 Ratings
00 Ratings
Database Development
Comparison of Database Development features of Product A and Product B
Amazon DynamoDB
-
Ratings
DBeaver
7.3
11 Ratings
15% below category average
Version control tools
00 Ratings
6.03 Ratings
Test data generation
00 Ratings
6.05 Ratings
Performance optimization tools
00 Ratings
7.34 Ratings
Schema maintenance
00 Ratings
8.49 Ratings
Database change management
00 Ratings
9.07 Ratings
Database Administration
Comparison of Database Administration features of Product A and Product B
It’s great for server less and real-time applications. It would be great for gaming and mobile apps. However, if you need relational database and have fixed budget, do not use it. While budget can be managed, you need to be careful. Also this is not a tool for storing big data, there are other wide-column database types you could use for it ins the ad
If you are connecting to Snowflake and want to query from your laptop, I find that this is much easier to use than Snowflake's IDE. It allows us as a business intelligence team to more easily connect to our servers, and code with much less hassle. It would be less appropriate if you are only on an on-premises SQL server, in that case, I would just use SSMS.
Schema editing is not very intuitive. Editing a single column forces you into multiple tab windows when trying to change something simple like a column name.
Sorting and filtering in data is nice, but buried in long right-click menus.
Some things are definitely non-standard UI for a Windows application, so it might be hard for die-hard Windows fans to get used to.
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.
It works very well across all the regions and response time is also very quick due to AWS's internal data transfer. Plus if your product requires HIPPA or some other regulations needs to be followed, you can easily replicate the DB into multiple regions and they manage all by it's own.
Not a lot of users have DBeaver so fewer resources are available online to help you if you have any issues. When I was trying to figure out how to create my own ER diagrams, it was a little tough to find resources
The only thing that can be compared to DynamoDB from the selected services can be Aurora. It is just that we use Aurora for High-Performance requirements as it can be 6 times faster than normal RDS DB. Both of them have served as well in the required scenario and we are very happy with most of the AWS services.
MySQL workbench from MySQL only supports MySQL databases and it only provides basic functionality. On top of that, the user experience could be quite confusing for first-time users. SSMS from SQL server doesn't support inline editing nicely. The view for inline editing and view data is different, making it uncomfortable to use. All in all, DBeaver is the best tool when you manage a lot of databases with different types.
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.
Some developers see DynamoDB and try to fit problems to it, instead of picking the best solution for a given problem. This is true of any newer tool that people are trying to adopt.
It has allowed us to add more scalability to some of our systems.
As with any new technology there was a ramp up/rework phase as we learned best practices.