Snowflake CoCoSnowflake
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Related Products
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About
DataStripes is a browser-native, no-code data analysis and visualization platform that helps users turn raw data into interactive charts, dashboards, and narrated insights without programming or backend setup by letting them drag and drop data and build modular analysis flows using a visual node-based editor; users can import data from sources like CSV, Excel, PostgreSQL, and Snowflake, connect logic blocks to filter, group, aggregate, and visualize patterns instantly, and then ask natural language questions to generate AI-powered explanations and even audio-narrated dashboards or podcasts summarizing key trends. All computation happens locally in the browser (privacy-first with no cloud upload), and the platform’s AI analyzes patterns and generates shareable insights that are CEO-ready and easy to understand, eliminating manual spreadsheet grunt work while empowering users to uncover hidden trends and storylines.
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About
Snowflake CoCo is a data-native AI coding agent that turns complex data engineering, analytics, machine learning, and AI workflows into simple conversations. It understands enterprise context, including catalog, lineage, RBAC policies, compute, and pipeline dependencies, helping generated code reference real objects with the correct permissions. Teams can use CoCo to identify data, build pipelines across dbt, Apache Airflow, Postgres, Spark, and AWS Glue, generate executable ML pipelines for Snowflake Notebooks, and create apps and AI agents grounded in enterprise data. Its agent harness includes Snowflake-specialized tools such as semantic catalog search, data diffing, and sandboxed runtimes rather than relying on generic code wrappers. For complex, multi-step tasks, orchestration can coordinate sub-agents and route between models automatically. CoCo is available as a desktop development environment with access to local files, terminals, and Snowflake.
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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
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Non-technical users, analysts, consultants, and business teams interested in a tool to explore, visualize, and narrate data insights without writing code or managing infrastructure
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Audience
Data engineers, analysts, ML teams, and developers wanting to build and automate governed data and AI workflows through a context-aware coding agent
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Support
Phone Support
Not 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
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Supported
Free Trial
Not Supported
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Pricing
$2 per credit
Free Version
Supported
Free Trial
Not 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
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Company InformationDatastripes
United States
datastripes.com
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Company InformationSnowflake
Founded: 2012
United States
www.snowflake.com/en/product/snowflake-coco/
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
PostgreSQL
Supported
Snowflake
Supported
AWS Glue
Not Supported
Anthropic
Not Supported
Apache Spark
Not Supported
Claude Opus 4.5
Not Supported
Claude Opus 4.6
Not Supported
Claude Opus 4.7
Not Supported
Claude Opus 4.8
Not Supported
Claude Sonnet 4.5
Not Supported
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Integrations
PostgreSQL
Supported
Snowflake
Supported
AWS Glue
Supported
Anthropic
Supported
Apache Spark
Supported
Claude Opus 4.5
Supported
Claude Opus 4.6
Supported
Claude Opus 4.7
Supported
Claude Opus 4.8
Supported
Claude Sonnet 4.5
Supported
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