Data Engineering
AI-Assisted Migrations
Reduce migration time and effort with agentic AI.
What are phData's
AI-Assisted Migrations?
Move to the modern data stack faster and with less risk, with our expert engineers equipped with AI migration agents. Our unique AI and automation strategy uses agentic tooling under a strict set of Responsible AI Assisted Development principles to accelerate timelines and cut costs. Within this framework, AI supports our engineers’ judgment but does not replace it; they own the output to ensure unwavering quality and accountability. This allows our agents to automate the most complex parts of a migration, including fixing translation failures, generating tests, and resolving performance issues, drastically reducing manual effort and delivering a successful migration you can rely on.
Ready to make your data work harder and smarter?
Let’s get started.
What are the benefits of phData's AI-Assisted Migrations?
AI Tooling to reduce migration timelines by 75%
Automated testing to ensure accuracy
Custom automation build for unique customer requirements
Clear visibility into data lineage and transformations
Expert support for modernizing your data stack with minimal business disruptions
phData Insights
Construction Company Migrates from Teradata to Snowflake, dbt and HRV
phData Insights
Renowned Global Developer of Automation Testing & Measurement Systems Migrates to Snowflake from Exadata and Qubole
Our key differentiator is the combination of our advanced tooling and expert engineers for a complete solution. Our AI agents automate translation and post-translation activities, including testing and validation, enabling us to accelerate timelines and reduce costs.
Frequently Asked Questions about AI-Assisted Migrations
What makes AI-assisted agentic migrations different from traditional migration services?
Traditional migration services often rely on manual effort, scaling their operations by adding headcount. This approach can be error-prone and leads to timeline and cost creep. At phData, we lead with an automation-first mindset, believing you should scale smarter through software. Our AI-assisted tools accelerate timelines by automating the most complex parts of a migration. For unique customer requirements not met by pre-built tools, our expert engineers create custom automation, ensuring process optimization to achieve the best results.
What platforms can you migrate from and to?
Our primary focus is migrating legacy data platforms to Snowflake. We have extensive experience migrating from a wide range of sources, including Teradata, Oracle, SQL Server, Hadoop, SAP HANA, Postgres systems like Netezza and Redshift, and Qubole.
How much does a data migration project cost?
Migration project costs vary significantly, depending on scope and duration. We strive for no surprises by using AI tools to assess the legacy environment, scope, and complexity prior to starting.
How do you ensure accuracy and that business logic is preserved?
Our expert engineers and AI agents perform automated testing and validation to ensure the translated code is semantically similar to the original. The process includes automated test generation, execution, and failure reporting. For the most critical steps, we use a human in the loop approach where our expert engineers review and validate the outputs to ensure all business logic is maintained.
How do you handle data privacy and security during a migration?
Security is a core principle of our process. We follow strict data governance and privacy protocols, ensuring sensitive client data is protected by default. AI-assisted changes are tracked like code, peer reviewed, and versioned for full transparency and accountability.
