Generic Agency Approach:
The Protocloud Difference:
Not offered 
Proprietary framework 
Small database migrations start from $10,000. Mid-complexity warehouse migrations (Teradata → BigQuery) range from $25,000–$60,000. Enterprise multi-system migrations run $60,000–$120,000+. We provide a fixed quote after a free discovery session – no surprises.
Our standard timeline is 8–10 weeks from discovery to production. Simple database migrations can complete in 2–4 weeks. Enterprise-scale migrations can take 12–20 weeks. We commit to a timeline in writing before we start.
We work with all major platforms: Azure Synapse, Azure Databricks, Snowflake, Google BigQuery, AWS Redshift, and AWS Glue. We’ll recommend the best platform for your specific workload, budget, and future AI/ML needs.
No. Our phased migration approach – pilot, validate, then production rollout – is specifically designed for zero-downtime cutover. We test everything in a sandbox before touching production.
Yes. Rescue migrations are a specialty. We start with a rapid assessment of where the previous migration went wrong, document all data integrity issues, and build a recovery plan. We’ve rescued 30+ failed migrations for clients.
100%. Every script, pipeline, schema document, and architectural diagram created during your migration is yours. No vendor lock-in, no proprietary tools you can’t modify. Your data infrastructure, your IP.
Yes – and the numbers prove it. Our clients average 23% performance improvement and 16% cost reduction post-migration. That ROI typically covers the migration cost within 6-9 months. We’ll show you a business case calculation in your free strategy session.
🛡 Guarantee: If your post-migration performance doesn’t improve vs. baseline, we continue optimization at no additional charge.
We engineer every migration for zero business disruption. Our phased approach – pilot, validate, then full rollout – means we catch and resolve issues before they reach production.
🛡 Guarantee: Fixed timeline in writing before we start. If we miss it due to our own errors, we work free of charge until completion.
Our multi-layer validation (row counts, checksums, business logic checks) guarantees data integrity. We don’t declare success until your data is validated against agreed benchmarks.
🛡 Guarantee: We don’t move to production until your team has signed off on data quality validation
Performance benchmarking is built into our process. We set baseline metrics at discovery and measure against them post-migration. If we’re below agreed targets, we optimize until we hit them.
No. Every migration includes 3 months of post-launch monitoring, optimization, and support. You’re never abandoned after go-live.
