dbtdbt Labs
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Related Products
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About
Build a blueprint of your current enterprise architecture and visualize the impact of change before it happens with SAP PowerDesigner software. With capabilities such as data modeling, link and sync, and metadata management, you can immediately capture architecture layers and requirements, tap into a powerful metadata repository, and share discoveries with your team. Create tight connections between your company’s unique requirements, language, and data models by using link-and-sync technology. Help developers and enterprise architects exchange information through a secure metadata repository that supports all modeling types. Simplify the lives of your users and IT staff with a flexible, wizard-driven system for documentation and Web-based reporting.
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About
dbt helps data teams transform raw data into trusted, analysis-ready datasets faster. With dbt, data analysts and data engineers can collaborate on version-controlled SQL models, enforce testing and documentation standards, lean on detailed metadata to troubleshoot and optimize pipelines, and deploy transformations reliably at scale. Built on modern software engineering best practices, dbt brings transparency and governance to every step of the data transformation workflow.
Thousands of companies, from startups to Fortune 500 enterprises, rely on dbt to improve data quality and trust as well as drive efficiencies and reduce costs as they deliver AI-ready data across their organization. Whether you’re scaling data operations or just getting started, dbt empowers your team to move from raw data to actionable analytics with confidence.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Enterprise architecture platform for companies wanting to set the foundation for digital transformation success
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Audience
SQL users looking for a ETL solution to engineer data transformations
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
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Pricing
$100 per user/ month
Free Version
Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Pros & Cons from Real UsersPros
Cons
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Company InformationSAP
Founded: 1972
Germany
www.sap.com/products/powerdesigner-data-modeling-tools.html
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Company Informationdbt Labs
Founded: 2016
United States
www.getdbt.com
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Categories |
Categoriesdbt powers the transformation layer of modern data pipelines. Once data has been ingested into a warehouse or lakehouse, dbt enables teams to clean, model, and document it so it’s ready for analytics and AI. With dbt, teams can: - Transform raw data at scale with SQL and Jinja. - Orchestrate pipelines with built-in dependency management and scheduling. - Ensure trust with automated testing and continuous integration. - Visualize lineage across models and columns for faster impact analysis. By embedding software engineering practices into pipeline development, dbt helps data teams build reliable, production-grade pipelines to accelerate time to insight, and deliver AI-ready data. dbt brings rigor and scalability to data preparation by enabling teams to clean, transform, and structure raw data directly in the warehouse. Instead of siloed spreadsheets or manual workflows, dbt uses SQL and software engineering best practices to make data preparation reliable, repeatable, and collaborative. With dbt, teams can: - Clean and standardize data with reusable, version-controlled models. - Apply business logic consistently across all datasets. - Validate outputs through automated tests before data is exposed to analysts. - Document and share context so every prepared dataset comes with lineage and definitions. By treating data preparation as code, dbt ensures that prepared datasets aren’t just quick fixes — they’re trusted, governed, and production-ready assets that scale with the business. dbt modernizes the “T” in ETL: Transformation. Instead of relying on legacy pipelines or black-box transformations, dbt empowers data teams to build, test, and document transformations directly inside the data warehouse or lakehouse. With dbt, teams can: - Transform raw data into analytics-ready models using SQL and Jinja. - Ensure reliability with built-in testing, version control, and CI/CD. - Standardize workflows across teams with reusable models and shared documentation. - Leverage modern platforms like Snowflake, Databricks, BigQuery, and Redshift for scalable transformation. By focusing on the transformation layer, dbt helps organizations shorten pipeline development cycles, reduce data debt, and deliver trusted insights faster — complementing ingestion and loading tools in a modern ELT stack. |
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Big Data Features
Collaboration
Supported
Data Blends
Not Supported
Data Cleansing
Supported
Data Mining
Not Supported
Data Visualization
Not Supported
Data Warehousing
Not Supported
High Volume Processing
Not Supported
No-Code Sandbox
Not Supported
Predictive Analytics
Not Supported
Templates
Not Supported
Data Lineage Features
Database Change Impact Analysis
Supported
Filter Lineage Links
Supported
Implicit Connection Discovery
Not Supported
Lineage Object Filtering
Not Supported
Object Lineage Tracing
Not Supported
Point-in-Time Visibility
Not Supported
User/Client/Target Connection Visibility
Not Supported
Visual & Text Lineage View
Not Supported
Data Preparation Features
Collaboration Tools
Supported
Data Access
Not Supported
Data Blending
Supported
Data Cleansing
Supported
Data Governance
Not Supported
Data Mashup
Not Supported
Data Modeling
Not Supported
Data Transformation
Not Supported
Machine Learning
Not Supported
Visual User Interface
Not Supported
ETL Features
Data Analysis
Not Supported
Data Filtering
Supported
Data Quality Control
Supported
Job Scheduling
Not Supported
Match & Merge
Not Supported
Metadata Management
Not Supported
Non-Relational Transformations
Not Supported
Version Control
Not Supported
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Integrations
AccessOwl
Not Supported
Amazon Redshift
Not Supported
Braight
Not Supported
Cake AI
Not Supported
Cargo
Not Supported
DataOps.live
Not Supported
Dosi
Not Supported
Grouparoo
Not Supported
Hex
Not Supported
Metaphor
Not Supported
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Integrations
AccessOwl
Supported
Amazon Redshift
Supported
Braight
Supported
Cake AI
Supported
Cargo
Supported
DataOps.live
Supported
Dosi
Supported
Grouparoo
Supported
Hex
Supported
Metaphor
Supported
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