1.Name:

2.Company

3.Work email address:

4.Country / region

Your Role and Team

5.Which best describes your current role?

DBA

Database Developer

Application Developer

DevOps Engineer

Data Architect

Engineering Manager / Team Lead

Other

6.How involved are you in database change management or database release processes?

I own or lead this process

I actively participate in it

I support or review parts of it

I am interested, but not directly involved today

Other (please specify)

7.Approximately how many people are in your database-related team?

1–2

3–5

6–10

11–25

25+

8.Approximately how many application, development, or DevOps team members interact with your database change process?

1–5

6–15

16–50

51–100

100+

Your Database Environment

9.Which Oracle Database versions are currently in use in your environment?

Oracle 11g

Oracle 12c

Oracle 18c / 19c

Oracle 21c / 23ai

Oracle Autonomous Database

Not sure

Other

10.Which other databases are part of your environment?

SQL Server

PostgreSQL

MySQL / MariaDB

DB2

Snowflake

Databricks

MongoDB

Other

11.Roughly how many database instances or schemas are involved in your development, test, staging, or production release process?

1–5

6–25

26–100

101–500

500+

Current DevOps and Source Control Practices

12.Where do you store database scripts, schema objects, or release artifacts today?

GitHub

GitLab

Bitbucket

Azure DevOps Repos

Subversion / SVN

Perforce

File shares / shared folders

We do not consistently store database changes in source control

Other

13.What CI/CD or DevOps tools are currently part of your release process?

Azure DevOps

Jenkins

GitHub Actions

GitLab CI/CD

Bamboo

TeamCity

Octopus Deploy

ServiceNow / change management workflow

Other

14.What database change automation or migration tools do you use today?

Toad DevOps Toolkit

ApexSQL DevOps Toolkit

Liquibase

Flyway

Redgate tools

DbUp

Custom scripts

Manual SQL scripts

None

Other

15.How are database changes typically reviewed before release?

Manual DBA review

Peer review through pull requests

Automated validation in CI/CD

Security or compliance review

Performance review

We do not have a consistent review process

Other

Pain Points and Fit

16.What are the biggest challenges in your database DevOps process today? Select up to three.

Manual database deployments

Schema drift between environments

Lack of automated database testing

Slow or inconsistent DBA review

Risky production deployments

Poor visibility into what changed

Difficulty coordinating developers and DBAs

Performance issues introduced by database changes

Lack of rollback or recovery confidence

Compliance / audit requirements

Other

17.Which capabilities would be most valuable to you in a new AI-native DB DevOps solution? Select up to three.

AI-assisted database change review

Automated schema comparison and drift detection

CI/CD pipeline integration

Source control integration

Automated database testing

SQL performance risk detection

Release impact analysis

Environment comparison across dev/test/prod

Change documentation and audit reporting

Other

18.Is there anything else we should know about your environment, process, or interest in this initiative?