Data Engineering
dbt
Data Analysts & Analytics Engineers · Global · Specification audit
dbt is a data engineering platform built for Data Analysts & Analytics Engineers teams operating in Global. Available on a permanently free entry tier, it competes in the Data Engineering segment by offering a combination of industry standard for sql-first data transformation in the modern data stack and dbt core is fully open-source — no vendor lock-in. The vendor lists SOC2, GDPR as supported compliance frameworks in its official documentation. Verify current compliance status with the vendor before deployment in regulated environments. Infrastructure is distributed across US-East, EU-West data centres, giving Global operators control over data residency and latency requirements.
VektorIndex Score™
Composite specification quality score. Based on compliance coverage, integration depth, pricing transparency, and vendor verification.
| Dimension | Score | Max |
|---|---|---|
| Compliance coverage | 8 | 20 |
| Integration depth | 20 | 20 |
| Specification richness | 12 | 15 |
| Risk transparency | 9 | 9 |
| Hosting regions documented | 6 | 9 |
| API data available | 7 | 7 |
| Vendor verified listing | 0 | 10 |
| Pricing transparency | 10 | 10 |
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Specification Data
| Metric | Value |
|---|---|
| Starting Price | Free plan available |
| API Rate Limit | 200 req/min |
| Market | Global |
| Target Segment | Data Analysts & Analytics Engineers |
| Data Hosting Regions | US-East, EU-West |
| Compliance Frameworks | SOC2GDPR Per vendor documentation — not independently audited |
| Native Integrations | SnowflakeBigQueryRedshiftDatabricksPostgreSQLGitHubAirflow |
Sourced from vendor documentation. Not independently audited.
Core Operational Advantages
Vendor-statedIndustry standard for SQL-first data transformation in the modern data stack
dbt Core is fully open-source — no vendor lock-in
dbt Cloud adds orchestration, CI/CD, and a hosted IDE
Automated data lineage and documentation generated from your SQL models
Known Risks to Validate
Per documentationSQL-only — no support for Python transforms in dbt Core (limited in Cloud)
dbt Cloud pricing scales with seats and can get expensive for large teams
Steep learning curve for analysts who are not comfortable with Git workflows
Who Is This For?
dbt is best suited for Data Analysts & Analytics Engineers in Global that need industry standard for sql-first data transformation in the modern data stack. Teams that require dbt core is fully open-source — no vendor lock-in will find the feature set well-aligned with day-to-day operational demands. Validate the documented risks listed above with the vendor before committing budget.
Documented Risks to Review
dbt has 3 documented risks worth validating before deployment
Teams deploying dbt for GDPR-regulated workloads should validate these risk areas with the vendor. Our drop-in middleware may help address some of these — no data leaves your infrastructure.
Bottom Line
Based on this specification audit, dbt delivers 4 documented operational advantages for Data Analysts & Analytics Engineers teams, with 3 identified risk areas to validate before deployment. A free entry plan is available, making it low-risk to evaluate before committing budget. Native integrations with Snowflake, BigQuery, Redshift cover the most common data analysts & analytics engineers stack dependencies without requiring custom middleware. The API rate limit of 200 requests per minute is adequate for standard automation workloads but may require negotiation for high-volume programmatic use cases.
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Get a Technology Assessment →Frequently Asked Questions
- How much does dbt cost?
- dbt offers a permanently free plan. Paid tiers with additional features are available — check the vendor's current pricing page for up-to-date tier details.
- Which compliance frameworks does dbt list?
- dbt lists the following compliance frameworks in its vendor documentation: SOC2, GDPR. VektorIndex has not independently audited these claims. Request a current Data Processing Agreement before deployment in regulated environments.
- What is dbt's documented API rate limit?
- dbt documents an API rate limit of 200 requests per minute on its standard tier. Enterprise plans may offer higher limits — contact the vendor's sales team for custom rate agreements. Verify on the vendor's developer documentation before building integrations.
- What platforms does dbt integrate with natively?
- dbt maintains native integrations with: Snowflake, BigQuery, Redshift, Databricks, PostgreSQL, GitHub, Airflow. Additional integrations are available via Zapier, Make, or the vendor's public API.
- Where is dbt data hosted?
- dbt lists data infrastructure in the following regions: US-East, EU-West. Teams with strict data residency requirements should confirm the exact region configuration with the vendor prior to deployment.
Data provenance: Specifications sourced from official vendor documentation (pricing pages, DPAs, security whitepapers). Data is not independently audited by VektorIndex. Community-sourced data. Last updated: 29 August 2026. This is the date the record was last edited — not an independent verification. If you are a vendor and this data is outdated, claim this listing to update it.
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