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
EDB Postgres Advanced Server
Score 10.0 out of 10
N/A
The EDB Postgres Advanced Server is an advanced deployment of the PostgreSQL relational database with greater features and Oracle compatibility, from EnterpriseDB headquartered in Bedford, Massachusetts.
N/A
Pricing
DBeaver
EDB Postgres Advanced Server
Editions & Modules
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
No answers on this topic
Offerings
Pricing Offerings
DBeaver
EDB Postgres Advanced Server
Free Trial
Yes
No
Free/Freemium Version
Yes
No
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.
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More Pricing Information
Community Pulse
DBeaver
EDB Postgres Advanced Server
Features
DBeaver
EDB Postgres Advanced Server
Database Development
Comparison of Database Development features of Product A and Product B
DBeaver
7.9
Ratings
8% below category average
EDB Postgres Advanced Server
-
Ratings
Version control tools
8.00 Ratings
00 Ratings
Test data generation
7.00 Ratings
00 Ratings
Performance optimization tools
7.30 Ratings
00 Ratings
Schema maintenance
8.40 Ratings
00 Ratings
Database change management
9.10 Ratings
00 Ratings
Database Administration
Comparison of Database Administration features of Product A and Product B
Great tool for developers to use to dive into their databases. Not so great if you are a die-hard Windows user with expectations of a SQL Management studio replacement. This is the less suited tool for people looking to just view and edit data. If you need to generate any scripts or import and export data, this is the tool to use.
Very well suited to applications mixing relational with NoSQL and/or complex data types, such as network analysis, JSON, key-value-pair, etc. Excellent if you have multiple programming languages in use (Python, Perl, R, etc.) because PPAS supports so many languages natively. Not well suited if you need encryption at rest, compressed data or very large database-tier backups. [Large backups should be done at the storage tier if possible.]
PPAS Oracle compatibility, especially the PL/SQL syntax, has made migrating database-tier code very simple. Most Oracle packages do not need to be changed at all and those that do are generally for simple reasons like a reserved word in PPAS that is allowed in Oracle.
PPAS xDB, the multi-master replication tool, is simple and - most important - does not break with network or other interruptions. We have been able to configure and forget, which our customers could never do with other multi-master tools.
Most people had no idea that PPAS and PostgreSQL have full CRUD support for JSON. They think you need a specialized product and/or that JSON is read-only. Every organization that I have worked with is evaluating adding JSON to their relational model.
Documentation is excellent but spread out across many resources and can take a while to wade through—would benefit from having more intro level, getting started guides for various languages.
Ruby support is excellent but more Ruby examples and beginner-level documentation would be nice.
It is sometimes hard to find a community of users on StackOverflow so a larger community, and a dedicated forum with active members to answer questions and work through issues would be nice.
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
We found that sharing scripts and generating DDLs from Snowflake's IDE was a bit too much of a chore. Because of this, we began looking for alternate products. We found DBeaver, a free community tool, and tried it out. We've found that it is very intuitive and easy to use, I would recommend it.
We chose Postgres Plus Advanced Server because we had the finances to do so and needed the robust featureset, along with the power to optimize our performance and integrate with the development tools of our choosing. We audited a number of options, exploring potential solutions at various levels of robustness and decided that this was our best option moving forward.
Postgres Plus Advanced Server is quite complex and may take longer to implement certain things than simply using PostgreSQL depending on developer familiarity with the platform.
Getting up to speed can be daunting so again, there is an upfront cost in time spent learning the platform, besides the potential for extra time spent on a feature-by-feature basis.
The cost of Postgres Plus Advanced Server should be weighed against simply using PostgreSQL to decide which is the best solution for your business needs.