Cooper Group

DevOps database tools

Database tooling built for developers, by developers

Your code ships fast. Your database workflow should keep pace. Cooper Group gives engineering teams a DBeaver-powered toolkit for schema exploration, tenant provisioning, and pipeline checks.

Stop clicking around. Start automating.

Git-ready configurations PostgreSQL and MySQL
provision-tenant.sh

$ dbeaver-cli tenant create \

--name acme-eu-1042 \

--engine postgresql \

--template billing-v3 \

--validate-migrations

PASS schema checks completed in 2.8s

INFO connection profile committed to Git

READY tenant database is available

Data pipeline validation

Database ops inside your pipeline

A pull request can check application code and database changes together. Our DBeaver CLI setup adds schema validation, query linting, and migration review before a merge reaches production.

Catch drift early.

Commit

Shared connection profiles and SQL rules live beside application code.

Build

GitHub Actions, GitLab CI, Jenkins, or Azure DevOps runs the checks.

Validate

DBeaver CLI compares schemas and flags unsafe migration patterns.

Deploy

Approved scripts reach PostgreSQL or MySQL with an audit trail.

SaaS tenant databases

Scale your SaaS without database mayhem

Cooper Group maps tenant isolation to your product's access model, then automates provisioning with repeatable parameters. More than 1,000 tenants can follow the same operating rules.

1,000+tenant databases managed

Database per tenant

Strong isolation for regulated workloads and high-value accounts.

Trade-off: More connections to monitor.

Schema per tenant

A practical fit when teams need clear separation inside one engine.

Trade-off: Naming discipline is essential.

Hybrid model

Keep standard tenants together and move sensitive accounts to isolated databases.

Our pick: Flexible controls without duplicate operations.

Schema exploration

Explore any database schema in seconds

Search tables, columns, and relationships from one DBeaver workspace. Commit-aware ER diagrams update with every approved change, so a new engineer can find the right path on day one.

See the shape before writing SQL.

  • Search across PostgreSQL and MySQL connections.
  • Generate relationship maps from current metadata.
  • Publish approved reference pages to Confluence or Notion through an API.
customer_accounts

id team_members.account_id

plan_code billing_events.plan

region, status, created_at

Team standardisation

One SQL style, across every developer

92%

Shared DBeaver templates, connection profiles in Git, and a pre-commit check keep everyday SQL readable and safe.

Naming conventions

Tables, keys, and indexes follow one agreed pattern.

Query formatting

Templates make joins and filters easy to review.

Performance gates

Slow queries stop before they become production incidents.

Engineering teams speak clearly

Loved by teams that ship database changes

"

Our database deployment time went from 45 minutes to 4. The DBeaver CLI integration gives every release the same checks and the same audit trail.

Rajanikant GarysonDevOps Lead, FinTech
"

Schema exploration used to slow every new hire. Cooper Group gave our team a searchable map and shared connection profiles, so engineers can contribute on day one.

Pensee WildyCTO, SaaS Startup

Bring DevOps speed to your database layer

Get the DBeaver DevOps Playbook with practical guidance for pipeline checks, tenant provisioning, and standardized SQL workflows. Then talk through your stack with an engineer.