dbt alternatives: top competitors compared
Named alongside dbt
SnowflakeBest forEnterprises that run data engineering, analytics and AI on governed enterprise data, including large and highly regulated organizations78% of dbt answersBigQuery78% of dbt answersDatabricksBest forData engineering, data science, analytics and AI teams at startups and global enterprises61% of dbt answersFivetran61% of dbt answers
Data from SlateIndex weekly runs
dbt has a visibility score of 6.5 in Data Warehouse, #14 of 39. AI answers that name dbt most often also name these 4.
Quick reference
| Alternative | Best for | Starting price | Visibility | Key differentiator |
|---|---|---|---|---|
| Snowflake | Enterprises that run data engineering, analytics and AI on governed enterprise data, including large and highly regulated organizations | Contact sales | 68.6% | Agents such as CoWork and CoCo work on governed enterprise data inside Snowflake's security perimeter, reusing existing access controls and catalog context |
| BigQuery | — | — | 63.6% | Serverless architecture with nothing to size, and storage and compute separated, which reviewers cite as a cost and scale advantage. |
| Databricks | Data engineering, data science, analytics and AI teams at startups and global enterprises | — | 46.2% | One open lakehouse architecture that unifies data, analytics and AI on Delta Lake and Apache Spark |
| Fivetran | — | — | 7.2% | — |
Alternative 1
Snowflake vs dbt →Snowflake
Snowflake suits enterprises that run data engineering, analytics and AI on governed enterprise data, including large and highly regulated organizations.
Quick facts
- Contact sales · usage-based
- 68.6% visibility score · #1 in Data Warehouse
Key features
- Snowflake CoWork — Enterprise agent for knowledge workers, formerly Snowflake Intelligence, for analysis, automation and action on governed data.
- Snowflake CoCo — Governed AI coding agent for building data pipelines, analytics, ML models, apps and agents.
- Cortex AI — Services for securely creating and deploying LLMs and ML models customized with your data.
- Openflow — Managed data integration service built on Apache NiFi.
Snowflake vs dbt
| Dimension | Snowflake | dbt |
|---|---|---|
| Visibility score | 68.6% | 6.5% |
| Pricing model | Usage-based | Per seat |
| Entry price | Contact sales | Free; paid from $100 per seat / mo |
| Free plan | No | Yes |
| Trial | — | Free plan available |
Pros
- Multi-cloud deployment and secure, governed data sharing
- Decoupled storage and compute architecture
- Free trial with usage credits for easy getting started
- Widely adopted, most popular cloud data warehouse
- Strong for enterprise governance, high concurrency and workload isolation
Cons
- Unoptimized queries can rack up a surprisingly high bill
- Consumption pricing and credit usage are hard to predict
Alternative 2
BigQuery vs dbt →BigQuery
BigQuery is ranked #2 in Data Warehouse.
Quick facts
- Pricing not available
- 63.6% visibility score · #2 in Data Warehouse
Key features
- BigQuery AI — Lets users train, evaluate and deploy predictive models with SQL.
- BigQuery Graph — Graph-style relationship analysis.
- BigQuery Migration Service — Moves workloads from legacy warehouses to BigQuery.
- BigQuery DataFrames — A Python API for BigQuery.
BigQuery vs dbt
| Dimension | BigQuery | dbt |
|---|---|---|
| Visibility score | 63.6% | 6.5% |
| Pricing model | — | Per seat |
| Entry price | — | Free; paid from $100 per seat / mo |
| Free plan | — | Yes |
| Trial | — | Free plan available |
Pros
- Serverless, highly scalable data warehouse
- Free tier suited to small teams and light workloads
- Easy to start with low operational overhead
- Built-in ML and AI capabilities
- Strong fit for Google Cloud-centric teams
Cons
- Bills are hard to predict
Alternative 3
Databricks vs dbt →Databricks
Databricks suits data engineering, data science, analytics and AI teams at startups and global enterprises.
Quick facts
- Pricing not available
- 46.2% visibility score · #2 in MLOps Platforms
Key features
- Lakebase — Serverless Postgres database integrated with the lakehouse for transactional applications.
- Genie — Conversational analytics interface for natural-language questions and insights.
- Unity Gateway — Governance, cost control, observability and guardrails for enterprise AI access.
- Lakehouse — Serverless data warehousing on open lake data, with governance and AI built in.
Databricks vs dbt
| Dimension | Databricks | dbt |
|---|---|---|
| Visibility score | 46.2% | 6.5% |
| Pricing model | — | Per seat |
| Entry price | — | Free; paid from $100 per seat / mo |
| Free plan | — | Yes |
| Trial | — | Free plan available |
Pros
- Lakehouse architecture combining data warehousing with data lake flexibility
- Strong for machine learning, AI, and data engineering workloads
- Top customer satisfaction ratings alongside Snowflake
- Free trial and free Edition for learning
- Discounts for annual prepaid commitments
Cons
- Complex consumption-based pricing with no single fixed price
- Best only when ML, Spark, or Python skills are central to the team
Alternative 4
Fivetran vs dbt →Fivetran
Fivetran is ranked #12 in Data Warehouse.
Quick facts
- Pricing not available
- 7.2% visibility score · #12 in Data Warehouse
Key features
- Fivetran Connectors — Automated pre-built connectors that sync SaaS apps and databases into cloud data warehouses.
- Transformations (dbt-powered) — Data transformations powered by dbt, offered by the combined Fivetran and dbt Labs company.
- Managed Data Lake Service — Stores data as managed Apache Iceberg tables in the customer's own cloud storage. Generally available.
- Fivetran Context Layer — Introduced at dbt Summit 2026. Private beta as of September 2026.
Fivetran vs dbt
| Dimension | Fivetran | dbt |
|---|---|---|
| Visibility score | 7.2% | 6.5% |
| Pricing model | — | Per seat |
| Entry price | — | Free; paid from $100 per seat / mo |
| Free plan | — | Yes |
| Trial | — | Free plan available |
Pros
- Smooth connectivity with modern data stacks and low-friction integration
- Drastically shortened infrastructure setup phase
- Best published annual discount structure for data integration
Cons
How to choose
Match the pricing model to your cost driver: headcount, usage or features.
| Platform | Pricing model | Starting price |
|---|---|---|
| dbt | Per seat | Free; paid from $100 per seat / mo |
| Snowflake | Usage-based | Contact sales |
| BigQuery | — | — |
| Databricks | — | — |
| Fivetran | — | — |
More alternatives
Ranked by how often AI answers name them alongside dbt in the latest weekly run.