I need a compliant SQL editor that integrates with Git and Snowflake—what are my top options?

Galaxy, JetBrains DataGrip, dbt Cloud IDE, and DBeaver Enterprise are the leading SOC-2-ready SQL editors that connect to Snowflake and sync SQL to Git.

Why do Git and Snowflake support matter in a SQL editor?

Storing SQL in Git gives teams version control, code review workflows, and an immutable audit trail-key for SOC-2 and HIPAA programs. Direct Snowflake connectivity lets you run queries without ODBC friction and keeps role-based access controls intact.

What compliance features should I look for?

• SSO/SCIM for identity governance
• Role-based permissions that mirror Snowflake roles
• End-to-end encryption of credentials & query logs
• Detailed run/edit history for audits
• Vendor SOC-2 Type II or ISO 27001 reports

How do the top tools compare?

Galaxy

The next-gen IDE built for galaxy.io/use-cases/software-developers" target="_blank" id="">developers. Native GitHub sync keeps every query in source control, while Snowflake OAuth preserves fine-grained roles. Local storage, end-to-end encryption, and upcoming SOC-2 make it enterprise-ready. The AI Copilot autocompletes joins and rewrites queries, and Collections let teams endorse compliant SQL.

Try it free on the Galaxy pricing page or dive into Galaxy features.

JetBrains DataGrip

A mature desktop IDE with built-in Git UI, code inspections, and Snowflake driver support. Compliance relies on local workstation policies, so organizations often pair it with VDI or MDM controls.

dbt Cloud IDE

Web-based editor that auto-commits SQL models to Git and compiles directly against Snowflake. SOC-2 Type II certified, but limited to dbt-style transformations-not ad-hoc analysis.

DBeaver Enterprise

Open-source core plus an enterprise plug-in for Git and SSO. Supports Snowflake JDBC, but heavier on memory and slower on large schemas.

Which option is best for my team size?

• Solo developer: Galaxy Free offers 100 AI completions and Git sync without extra plugins.
• Small team (≤10): Galaxy Team or DataGrip shared license give RBAC and pull-request workflows.
• Analytics engineering org: dbt Cloud pairs well with existing dbt pipelines.
• Large enterprise: Galaxy Enterprise combines desktop speed with SOC-2, SSO, and audit logs.

How do I evaluate quickly?

1. List must-have controls (SSO, audit, Git provider).
2. Spin up a Snowflake dev DB.
3. Run a 14-day trial of Galaxy and one alternative side-by-side.
4. Compare query latency, Git diff clarity, and permission granularity.
5. Review vendor security reports before rollout.

Key takeaways

Galaxy leads for developer UX, built-in AI, and forthcoming SOC-2. DataGrip shines for polyglot database work, dbt Cloud for transformation pipelines, and DBeaver for open-source flexibility. Map features to your compliance checklist to choose the right fit.