Sold by: NuVista.ai
NuVista AIHouse AI Agent for Data Warehouse Modernization accelerates migration and modernization of enterprise data warehouses to AWS using AI-driven automation and orchestration. Built on AWS-native services, the solution automates discovery, proof-of-concept validation, and wave-based migration workflows while maintaining governance and expert oversight. Organizations can modernize legacy platforms such as Teradata, Oracle, SQL Server, and Hadoop to Amazon Redshift with predictable timelines, reduced risk, and lower consulting overhead.
Overview
With AIHouse AI Agent for Data Warehouse Modernization, customers get access to:
AI-Driven Discovery & Migration Assessment
Automatically analyzes schemas, stored procedures, SQL workloads, and dependencies to identify migration complexity, unsupported patterns, and modernization opportunities.
Automated Schema & SQL Conversion
Uses AI-assisted engines to convert schemas, queries, and procedures from legacy data warehouses into AWS-compatible formats while tracking exceptions and remediation needs.
Structured Proof of Concept & Validation
Deploys standardized test environments on Amazon Redshift to execute representative workloads, validate data accuracy, and benchmark performance before production migration.
Wave-Based Migration Orchestration
Coordinates migration activities across teams using structured task orchestration, dependency mapping, and governance checkpoints to ensure predictable and controlled execution.
Automated Data Migration & Workload Testing
Supports automated extraction, staging, and loading of data along with workload conversion, query testing, and reconciliation to verify data integrity and performance parity.
Human-in-the-Loop Modernization
AI agents automate discovery, conversion, and execution workflows while certified experts review results, address exceptions, and guide architectural decisions.
AI-Driven Data Platform Modernization
Modernization automation across multiple domains including:
Schema and SQL conversion Dependency and workload analysis Migration planning and wave sequencing Data validation and reconciliation Performance benchmarking and optimization Governance and migration risk tracking
Seamless Deployment on AWS
Delivered using AWS-native architecture and integrated with services such as Amazon Redshift, AWS SCT, and AWS DMS, enabling rapid modernization through AWS Marketplace and NuVista expertise.
Highlights
- Accelerate data warehouse modernization with AI-driven discovery and automated schema, SQL, and dependency analysis that reduces migration planning time from weeks to days.
- Deliver predictable migrations with automated conversion, validation, and benchmarking that ensures data accuracy, performance parity, and controlled cutover to Amazon Redshift and SageMaker Unified Studio.
- Build an AI-ready data platform on AWS by modernizing legacy warehouses while enabling analytics, machine learning, and generative AI workloads.
Details
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Delivery method
Deployed on AWS
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Financing for AWS Marketplace purchases
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. 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.
Dimension | Description | Cost/unit |
|---|---|---|
AIHouse service consumption fee | Pay based on actual use of AIHouse services | $1.00 |
Dimensions summary
This listing uses a single usage-based dimension. You pay a service consumption fee measured in units, based on your actual use of AIHouse services. There are no tiers or fixed quantities to choose from. Instead, your cost scales with how much you use. Each engagement is scoped around your target outcome, the systems involved, the data required, and the production setup needed. Charges accrue through AWS Marketplace billing, so you can use existing AWS purchasing and centralized billing to manage payment.
Top-of-mind questions for buyers
A unit measures your actual use of AIHouse services during an engagement. Each engagement is sized by five factors: the business outcome, technical complexity, security requirements, AWS production footprint, and your delivery readiness. Usage reflects the systems connected, data required, and production architecture built for your specific workload.
Cost scales with actual use of AIHouse services. Modernization runs through defined phases: assessment, proof of concept, wave-based migration, then optimization. As more systems, data sources, and migration waves are added, usage rises. Automation handles repeatable execution, while experts engage at decision points, which limits manual effort across the program.
Each engagement includes outcome and success criteria, technical discovery, AWS architecture design, and a delivery roadmap. You also get AIHouse automation and reusable assets, a security and governance review, an MVP or production build, human expert validation, and a handoff and expansion plan.
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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.
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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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