Google Cloud RAMP program-Agentic Data Cloud (original) (raw)
Seamlessly migrate and modernize your data estate with Google Cloud's Rapid Migration and Modernization Program (RaMP). Our proven methodology and tools provide a path to optimize your Data Analytics and Databases workloads with the world’s first Agentic Data Cloud.
Accelerate your AI goals with an AI-native stack, a highly flexible architecture, and a secure-by-design data fabric.
With RAMP, you’ll get:
- A clear path forward: Analyze your entire data ecosystem and get dedicated tracks and incentives specifically for Data Analytics and Database workloads. Migrate your data warehouses from Teradata or Netezza to BigQuery and your SQL Server, MySQL, and PostgreSQL databases to managed services like Cloud SQL and AlloyDB. Plus, modernize your legacy Hadoop and self-managed Spark workloads with Managed Service for Apache Spark.
- Accelerated timelines with an AI-first approach: Dramatically reduce manual effort, time to value, and project risk with specialized data tools like the Database Migration Service for serverless, Gemini-powered database migrations or the BigQuery Migration Service for automating the conversion of SQL dialects and schema mapping.
- Proven Methodology: Lower your project risk with built-in security, compliance, predictability and a unified framework of best practices designed for complex data environments.
- Valuable Incentives: Optimize your costs and leverage special dedicated tracks and incentive funding to offset modernization expenses across your data initiatives or convert funding into rebate credits.* RaMP can also provide funds to pay for specialized data partners to handle the complex schema conversions or ETL (Extract, Transform, Load) redesigns.
We provide a proven framework to help you modernize with complete confidence, accelerating every stage of the migration journey.
*Qualification criteria applies. Database and data analytics modernization initiatives to Google Cloud managed services for new workloads only—subject to approval.