Sold by: dbt LabsÂ
Deployed on AWS
dbt Platform is a hosted service that helps data analysts and engineers product-ionize dbt deployments. It comes equipped with turnkey support for scheduling jobs, CI/CD, serving documentation, monitoring & alerting, and an Integrated Developer Environment (IDE).
Overview
dbt is an open source data transformation tool that allows anyone comfortable with SQL to author their own data pipelines. dbt Platform provides a stable, professional grade environment for building and orchestrating dbt projects. It's the fastest and most reliable way to deploy dbt.
Find out if dbt Platform works with your data base or data warehouse here: https://docs.getdbt.com/docs/available-adaptersÂ
Sign up for a free, 14-day trial here: https://www.getdbt.com/signup/Â
Highlights
- Save time with an IDE built for dbt, including a SQL Runner capable of running Jinja; and guided process to enforce version control best practices, even for users new to git
- Set up custom schedules to run production jobs including incremental testing upon change or before deployment.
- dbt Platform provides professional grade support and security for the enterprise (SOC2, Type II compliance, SSO, role-based access)
Details
Sold by
Delivery method
Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
dbt Platform | dbt Platform Plan: 10 Develop Licenses | $48,000.00 |
Dimension | Cost/unit |
|---|---|
Additional overages as defined in contract | $0.01 |
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
Custom pricing options
Request a private offer to receive a custom quote.
Legal
Vendor terms and conditions
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Support
Vendor support
Complete documentation is available at https://docs.getdbt.com/docs/dbt-cloud/cloud-overview/Â . support@getdbt.comÂ
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Data Pipeline Transformation
Open source SQL-based data transformation tool for building and orchestrating data pipelines
Integrated Development Environment
SQL Runner with Jinja support and version control workflow guidance
Job Scheduling
Custom scheduling capabilities for production jobs with incremental testing and deployment options
Enterprise Security
SOC2 Type II compliance with single sign-on and role-based access control mechanisms
Deployment Orchestration
Professional-grade environment for stable and reliable dbt project deployment and management
AI-Powered Development Environment
Integrated code IDE with native AI capabilities for data engineering and analytics development
Pipeline Orchestration
State-aware scheduling system for dbt and Python data pipelines with advanced monitoring capabilities
Data Lineage Tracking
Column-level lineage context and impact analysis for comprehensive data transformation workflows
Multi-Platform Integration
Supports seamless integration with data ingestion and visualization tools like Fivetran, Tableau, and PowerBI
Performance Optimization
AI-driven agents for continuous warehouse cost monitoring and operational efficiency
Environment Management
Automated Snowflake infrastructure management using configuration and code deployment
Pipeline Orchestration
End-to-end data pipeline construction and tool integration for data ingestion, modeling, and testing
Continuous Integration/Deployment
Comprehensive CI/CD capabilities for data engineering workflows with automated testing and code management
Observability Framework
Unified metadata collection and management providing comprehensive operational insights across data products
Development Workflow
Integrated development environment supporting Snowflake workload development, testing, debugging, validation, and execution
Standard contract
Customer reviews
3.8
2 ratings
2 AWS reviews
|
183 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
Bhupendra S.
dbt keeps our data models clean, consistent and version controlled
Reviewed on Nov 03, 2025
Review provided by G2
What do you like best about the product?
I use dbt every day to transform raw data in our warehouse into clean, analytics ready tables and my workflow typically begins in VS Code, where I write sql models, then push them to Git for version control and run them through dbt Cloud. And overall it has also made collaboration between our team members much easier because dbt makes the whole process much more simpler.
What do you dislike about the product?
It's challenging when one change throws an entire run off track and the error messages are at best, vague. I also feel the need to defend is the handiwork of my contributor to dbt cloud. I have also encountered the overly relaxed strucure and the resulting chaotic command and environment specific configurations.
What problems is the product solving and how is that benefiting you?
I can onboard people more easily, which has dramatically increased the usage of my warehouse and decreased my reliance on fragile, one off sql scripts and we have a whole team of analysts, engineers, and product working to have the same versioned models just building and ready for use.
Marissa M.
Powerful Features and Git Integration, but Error Messages Need Improvement
Reviewed on Oct 28, 2025
Review provided by G2
What do you like best about the product?
DBT provides valuable features for rapid software development, and what I appreciate most is its seamless integration with Git. Its modular design, which includes the ability to build reusable models, conduct code reviews, and generate automatic documentation, is excellent. Additionally, I am impressed by its capability to define and run quality tests, which further enhances the development process.
What do you dislike about the product?
When a DBT run fails, the error messages displayed in the terminal are quite generic. I find this frustrating because it means I have to spend extra time searching through the logs to figure out what went wrong.
What problems is the product solving and how is that benefiting you?
It solves many problems, especially in terms of data trust, and improves integration, The method runs seamlessly and speeds up processes. We went from hundreds of disorganized scripts to a logical and maintainable pipeline structure.
Naveen Kumar N.
dbt helps put our data pipelines in order and clear our perspective
Reviewed on Oct 22, 2025
Review provided by G2
What do you like best about the product?
I use dbt daily to handle and transform data models in our warehouse. And it has also become the backbone of our analytics workflow and version controlled, transparent and a breeze to debug. I particularly appreciate how easy it is to modularize sql transformations and to document everything inline so the team knows Why each model does what it does and where this data came from.
What do you dislike about the product?
It can be a bit confusing to set up environment configurations especially when you are working on more than one project or warehouse. As your models grow and that framework layer deepens, your build time can start to slow down and it’s not always simple to identify the bottleneck. Also testing unconventional macros feels a little clumsy compared to writing tests for linear models.
What problems is the product solving and how is that benefiting you?
dbt has brought a level of structure and consistency to the way we transform our data and we no longer have ad hoc sql scripts swimming around. It enables me to catch logic errors in the early stage, ensure data quality through testing and give stakeholders trustable reports. In the end we were able to achieve a better collaboration between our data engineers and analyst and gained much more confidence in our data pipeline.
James B.
Transforms SQL with Engineering Principles, But Steep Learning Curve
Reviewed on Oct 19, 2025
Review provided by G2
What do you like best about the product?
I really appreciate how DBT brings software engineering principles to SQL, transforming our SQL into a dependable data model. This helps resolve reporting errors that would otherwise consume a significant amount of our IT team's time.
What do you dislike about the product?
I didt really like that it requires mastering concepts like Jinja and Git.
What problems is the product solving and how is that benefiting you?
By centralizing data transformation logic and raising it to a higher level, this tool becomes essential for any IT team managing a data warehouse. It enables teams to move beyond just generating information, allowing them to create scalable, high-quality data products.
Alexander V.
Makes Transforming and Managing Data Models Way More Manageable
Reviewed on Oct 12, 2025
Review provided by G2
What do you like best about the product?
Thanks to dbt, I no longer have to depend on the engineering team to manage and transform the SQL data within our warehouse. It is the first step for me in organizing, testing, and documenting the entirety of our data models. I appreciate that all of this information is in one place in version control. I can track all changes made and the details surrounding each one.
What do you dislike about the product?
Troubleshooting complex dependencies and build errors can be a daunting task. There are occasions when a model fails and it is unclear which upstream change might be the cause. While the documentation is really good, I have found digging into a Stack Overflow or Slack thread to be the answer for some of the more obscure problems. I also find the visualization of lineage in dbt Cloud to be cumbersome.
What problems is the product solving and how is that benefiting you?
Data transformations are far more efficient now with dbt. I no longer need to create custom scripts or deal with disorganized SQL in dashboards, as I can now have a single layer that is testable and maintained for all my transformations. It is quick and dependable to run models in dbt Cloud, which assures me that the data is consistent and current for our business teams.