Sold by: Prescience
Deployed on AWS
AWS Free Tier
AI-powered platform for modernizing legacy data and BI workloads to Microsoft Fabric. Convert ADF pipelines, Databricks notebooks, SQL stored procedures, and BI assets with intelligent transformation, validation, and governance.
Overview
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Login Page
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User Management Page
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LLM Configuration Management Page
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Blueprint and Rule Management Page
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Automated Test Package Generation Page
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Automated Code Conversion Summary
CodeGenie is an AI-powered modernization platform that helps enterprises transform legacy data engineering, analytics, and BI workloads into Microsoft Fabric-ready assets. It automates complex migration tasks across Azure Data Factory, Databricks, SQL stored procedures, Power BI, and Tableau, helping teams reduce manual re-engineering and accelerate modernization. CodeGenie can preserve critical pipeline activities, dependencies, orchestration, metadata, notebook logic, and procedural SQL behavior during transformation.
Go beyond code conversion with intelligent, controlled modernization. CodeGenie combines LLM-powered transformation with a Prompt and Rule Engine to deliver consistent and repeatable results, supported by conversion summaries, validation, assumptions, and risk assessment. Built-in BI testing capabilities further help validate Power BI reports, filters, KPIs, and Tableau dashboards. From migration and transformation to validation and testing, CodeGenie brings the modernization workflow together, helping organizations move toward Microsoft Fabric with greater visibility, control, and confidence.
Highlights
- Turn complex legacy migration into a structured, AI-powered workflow. Transform Azure Data Factory pipelines, Databricks PySpark notebooks, and SQL stored procedures into Microsoft Fabric-ready assets while reducing the manual effort and re-engineering typically associated with modernization.
- Convert with intelligence, not just code translation. CodeGenie combines LLM-driven transformation with reusable Prompt and Rule Engine logic, then provides validation, conversion summaries, assumptions, and risk assessments so teams can understand the transformation and identify areas requiring review.
- Modernize with confidence beyond the code. Extend migration into automated BI validation with Power BI test packages and Tableau browser-based testing, helping teams validate filters, KPIs, dashboard elements, and expected values as they move toward Microsoft Fabric.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 22.04
Deployed on AWS
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Pricing
This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Vendor refund policy
Since It's free of cost so there is no refund policy.
Legal
Vendor terms and conditions
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Content disclaimer
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
CodeGenie 1.0.0-r2 delivers an AI-powered modernization workflow for transforming legacy data engineering and BI workloads into Microsoft Fabric-ready assets. This release supports workload migration across Azure Data Factory, Databricks PySpark notebooks, and SQL stored procedures, with controlled transformation through prompts and reusable rules.
The release also includes conversion summaries, validation insights, assumptions, and risk assessment to provide greater visibility into transformation results. CodeGenie further supports automated BI testing for Power BI and Tableau workloads, helping teams validate migrated assets and accelerate modernization with greater consistency and confidence.
Additional details
Usage instructions
To setup Biz Genie use following URL: https://codegenie-marketplace-files.s3.us-east-1.amazonaws.com/documents/CodeGenie_1.0.0_setup_guide.docx
Support
Vendor support
For product support and further information about CodeGenie, please contact Prescience at info@prescienceds.com . For technical support requirements, please reach out to the same support team.
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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