DataformGoogle
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Related Products
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About
Dataform enables data analysts and data engineers to develop and operationalize scalable data transformation pipelines in BigQuery using only SQL from a single, unified environment. Its open source core language lets teams define table schemas, configure dependencies, add column descriptions, and set up data quality assertions within a shared code repository while applying software development best practices, version control, environments, testing, and documentation. A fully managed, serverless orchestration layer automatically handles workflow dependencies, tracks lineage, and executes SQL pipelines on demand or via schedules in Cloud Composer, Workflows, BigQuery Studio, or third-party services. In the browser-based development interface, users get real-time error feedback, visualize dependency graphs, connect to GitHub or GitLab for commits and code reviews, and launch production-grade pipelines in minutes without leaving BigQuery Studio.
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About
Pylar is a secure data-access layer that sits between AI agents and your databases, enabling agents to safely interact with structured data without giving them direct database access. It connects to one or more data sources (like BigQuery, Snowflake, PostgreSQL, business apps such as HubSpot or Google Sheets). Pylar can create governed SQL views using its built-in SQL IDE; those views define exactly which tables, columns, and rows agents are allowed to access. It lets you build “MCP tools” (either by writing natural-language prompts or manual configuration) that wrap SQL queries into standardized, safe operations. Agents can access data through a single MCP endpoint, compatible with multiple agent builders like custom AI assistants, no-code automation tools, or integrations (e.g. Zapier, n8n, LangGraph, VS Code, etc.).
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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
Data analysts and engineers requiring a solution to build, test, document, and orchestrate production-ready BigQuery data pipelines
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Audience
Data teams, developers, or organizations wanting to safely enable AI agents to query and act on internal data
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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
Not 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
Free
Free Version
Supported
Free Trial
Not Supported
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Pricing
$20 per month
Free Version
Not Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationGoogle
Founded: 1998
United States
cloud.google.com/dataform
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Company InformationPylar
Founded: 2025
USA
www.pylar.ai/
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
Google Cloud BigQuery
Supported
Asana
Not Supported
Freshdesk
Not Supported
Front
Not Supported
GitHub
Supported
GitLab
Supported
Google Cloud Managed Service for Apache Airflow
Supported
Google Sheets
Not Supported
HubSpot CRM
Not Supported
Intercom
Not Supported
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Integrations
Google Cloud BigQuery
Supported
Asana
Supported
Freshdesk
Supported
Front
Supported
GitHub
Not Supported
GitLab
Not Supported
Google Cloud Managed Service for Apache Airflow
Not Supported
Google Sheets
Supported
HubSpot CRM
Supported
Intercom
Supported
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