AWS Cloud9 is a cloud-based integrated development environment (IDE) used to write, run, and debug code with just a browser. It includes a code editor, debugger, and terminal. Cloud9 comes prepackaged with essential tools for popular programming languages, including JavaScript, Python, and PHP, with no need to install files or configure a development machine to start new projects.
N/A
DBeaver
Score 8.5 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
DataGrip
Score 9.4 out of 10
N/A
DataGrip, from JetBrains, is a database IDE that is tailored to suit the specific needs of professional SQL developers.
$9.90
per month per user
Pricing
AWS Cloud9
DBeaver
DataGrip
Editions & Modules
No answers on this topic
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
For Individuals
$99
per year per user
For Organizations
$229
per year per user
All Products Pack for Individuals
$289
per year per user
All Products Pack for Organizations
$779
per year per user
Offerings
Pricing Offerings
AWS Cloud9
DBeaver
DataGrip
Free Trial
No
Yes
Yes
Free/Freemium Version
No
Yes
No
Premium Consulting/Integration Services
No
No
No
Entry-level Setup Fee
No setup fee
No setup fee
No setup fee
Additional Details
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Discounts are available for multi-user licenses.
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More Pricing Information
Community Pulse
AWS Cloud9
DBeaver
DataGrip
Considered Multiple Products
AWS Cloud9
No answer on this topic
DBeaver
No answer on this topic
DataGrip
Verified User
Engineer
Chose DataGrip
One place for all the connections and uniformity of use and interaction
Features
AWS Cloud9
DBeaver
DataGrip
Database Development
Comparison of Database Development features of Product A and Product B
AWS Cloud9
-
Ratings
DBeaver
7.3
11 Ratings
15% below category average
DataGrip
-
Ratings
Version control tools
00 Ratings
6.03 Ratings
00 Ratings
Test data generation
00 Ratings
6.05 Ratings
00 Ratings
Performance optimization tools
00 Ratings
7.34 Ratings
00 Ratings
Schema maintenance
00 Ratings
8.49 Ratings
00 Ratings
Database change management
00 Ratings
9.07 Ratings
00 Ratings
Database Administration
Comparison of Database Administration features of Product A and Product B
When I am working with a large team of developers. Also, when a security policy, you are not allowed to install any app on your laptop. Cloud 9 is well integrated with Cloud commit. So we don't have to spend time in configurations.
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.
You will like DataGrip; it is the best software to channel and influence data systems and efficiently. It will help you be more efficient and productive in exporting computer data; it is very effective. There are no errors, and you will feel comfortable using them. It promotes data quality and has excellent graphics to represent your information through statistical processes.
Confusing documentation - AWS's documentation remains quite confusing, and the layout of other services/settings that you have to use with Cloud9 can be a bit of a handful.
Sometimes slow - As the size of a project increases, the editor gets increasingly slower, and starts slowing down the browser overall.
Long setup process - The setup for Cloud9 can be hard and tough, especially since the documentation is quite hard to understand.
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.
The interface for Cloud9 needs some improvement. It is simply not as powerful and intelligent as a local text editor would be and thus it lacks the capabilities of fast filling when coding. Otherwise, I think it has a fair interface that they have tried mimicking an IDE.
Usability has two aspects, being a complete tool and being easy... DataGrip has a lot of features but it is big, not clear how to use most of the things and most people won't need them. In my opinion, usability is good enough but not friendly.
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
[AWS] Cloud9 offers specific features not available in the competition: Code collaboration using the chat features is the highlight which sets it apart. [The] code completion feature makes [it] very similar to the offline IDE like eclipse. It's much easier to use compared to Codeanywhere. It provides terminal access to EC2 instances and hence other amazon 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.
DataGrip provides a single UI for many DBMS platforms, instead of using one for each. Because of that, you can migrate things between platforms using the tool and "look across" all databases at once.