Cloud providers sell you cloud.
QuickCloud modernizes you into it.
AWS Cost Explorer won't tell you your architecture is the problem. Azure Migrate won't replatform your legacy apps. GCP has no tool for governed cost actions across accounts. Cloud provider tools are designed to move workloads onto their platforms — not to fix what's already messy, expensive, or unmaintainable once you're there. QuickCloud fills the gaps cloud providers deliberately leave open: cross-cloud cost governance, app replatforming, on-prem database migration, QA regression testing, and compliance evidence generation.
A note on vendor bias in cloud-native tooling
AWS Cost Explorer is built to help you spend more efficiently on AWS — not to reduce your total cloud bill across AWS, Azure, and GCP. AWS MGN is designed to move workloads onto EC2 as fast as possible — not to transform applications into the most cost-effective architecture. Azure Cost Management is excellent at analyzing Azure spend and telling you to buy more Azure Reserved Instances.
This is not criticism — it is simply what these tools are for. The structural incentive of a cloud provider is to increase consumption on their platform. QuickCloud's incentive is different: we are paid a fixed subscription regardless of which cloud you use or how much you spend. Our cost optimization product is designed to reduce your cloud bill, not optimize it toward a particular vendor.
What Each Cloud Provider Actually Offers
An honest assessment of AWS, Azure, and GCP native tools — what they do well, and where they stop.
Does: Lift-and-shift VM/server replication to EC2. Moves the OS and application binaries as-is.
Gap: No COBOL refactoring, no application transformation, no language modernization. You get your mainframe application running on an EC2 instance inside a compatibility layer — not a cloud-native application.
Does: Continuous replication from common RDBMSes (Oracle, SQL Server, MySQL, PostgreSQL) to AWS targets.
Gap: Does not support IMS/DB, VSAM, IDMS, ADABAS, CA-Datacom, Unisys DMSII, or HP NonStop Enscribe. Schema optimization is minimal — it moves data, it does not redesign schemas for cloud performance.
Does: A project tracking dashboard that aggregates migration status from other tools.
Gap: Not a migration tool — it tracks other tools. Provides no automation, no refactoring, no validation.
Does: Cost visibility and basic reserved instance/savings plan recommendations for AWS spend.
Gap: AWS-only. No Azure or GCP. Recommendations are suggestions, not governed savings actions. No awareness of migration-phase spend patterns.
Does: Aggregates security findings from AWS services and select third-party tools.
Gap: Finding aggregation, not remediation automation. AWS-native focus. Does not generate SOC 2, HIPAA, PCI DSS, or SOX evidence packages.
Does: Server assessment and lift-and-shift migration for VMware, Hyper-V, and physical servers.
Gap: No mainframe support. No COBOL, RPG, NATURAL, or any legacy language refactoring. No support for IBM i, HP NonStop, or Unisys platforms.
Does: Migrates SQL Server, Oracle, MySQL, and PostgreSQL to Azure SQL and related targets.
Gap: SQL Server-centric. Minimal legacy database coverage. Does not support the mainframe database ecosystem (DB2 for z/OS, IMS, VSAM, ADABAS).
Does: Solid cost visibility, budgeting, and anomaly alerts for Azure spend.
Gap: Azure-only. No multi-cloud cost governance. No AWS or GCP analysis.
Does: Strong CSPM and workload protection for Azure and Microsoft 365 environments.
Gap: Optimized for the Microsoft stack. Multi-cloud coverage for AWS and GCP is shallow compared to dedicated multi-cloud tools. No compliance evidence pack generation for legacy-to-cloud migrations.
Does: VM migration to Compute Engine from VMware, AWS EC2, and Azure VMs.
Gap: VM migration only. No mainframe, no application transformation, no legacy language support.
Does: Migrates MySQL, PostgreSQL, and SQL Server to Cloud SQL and AlloyDB.
Gap: PostgreSQL/MySQL to Cloud SQL focus. Does not cover any mainframe database format or cross-cloud heterogeneous migrations beyond its supported source types.
Does: Cost visibility, budget alerts, and committed use discount recommendations for GCP spend.
Gap: GCP-only. No multi-cloud visibility or governance.
What No Cloud Provider Gives You
Six categories where AWS, Azure, and GCP all have the same answer: silence. These problems affect SaaS teams and enterprises alike — cloud providers just don't solve them.
☁️Multi-cloud cost governance
AWS Cost Explorer analyzes AWS spend. Azure Cost Management analyzes Azure spend. GCP Cost Management analyzes GCP spend. If you run workloads across two or three clouds — which most SaaS teams do — you have no single pane of glass, no unified tagging enforcement, no cross-cloud anomaly detection, and no consolidated reserved capacity planning. Worse, none of these tools will tell you your architecture is the problem. QuickCloud's Modernization, Security & Cost Intelligence (AI) product governs spend across all three simultaneously and flags the architectural decisions driving your bill.
⚙️App replatforming for legacy codebases
AWS MGN will lift your Java EE monolith onto a VM. But now you have the same monolith running on a virtual machine in someone else's data center — not a cloud-native application. None of the three cloud providers offer tooling to decompose a legacy Java, .NET, or Python application into microservices, containerize it, and validate the refactored output against the original. App replatforming at the code level is not a cloud provider business — it is a QuickCloud business.
🏛️Mainframe application modernization
None of the three cloud providers offer a tool that reads COBOL, RPG, NATURAL, PL/I, or any other mainframe language and produces equivalent cloud-native code. AWS MGN, Azure Migrate, and Google Migrate for Compute Engine are all VM migration tools. They move the operating system image — they do not modernize the application. After migration, you have the same COBOL running on a Linux virtual machine in someone else's data center. That is not modernization.
🔑Identity migration from mainframe access control systems
RACF, ACF2, and Top Secret define who can access what on IBM mainframes. None of the three cloud providers has a tool that reads these access control databases and translates them into equivalent IAM policies in their respective identity platforms. AWS IAM, Azure Entra ID, and Google Cloud IAM all assume you are starting with modern identity — they provide no migration path from mainframe-era security models.
🧪QA regression testing for legacy-to-cloud migrations
Validating that a migrated COBOL batch job produces identical outputs to its mainframe predecessor requires running both systems in parallel with identical inputs and comparing the results. None of the three cloud providers offer this. AWS has no native testing capability whatsoever. Azure and GCP have performance and load testing adjacent products, but nothing that understands the concept of "does this produce the same results as the z/OS version."
📋Compliance evidence generation across the migration lifecycle
AWS Security Hub, Microsoft Defender for Cloud, and GCP Security Command Center all flag security issues. None of them generate audit-ready evidence packages documenting the security posture at each migration phase boundary. When your SOX auditors ask for evidence that your migrated application maintains the same access control behavior as the mainframe version, none of these tools have an answer.
Capability Comparison
Fourteen capabilities that matter for cloud modernization — whether you're a SaaS team cleaning up messy infrastructure or an enterprise modernizing legacy systems. Cloud-native tools handle the VM layer. Everything below it is a different story.
| Capability | QuickCloud | AWS | Azure | GCP |
|---|---|---|---|---|
| Multi-cloud cost governance (AWS + Azure + GCP) | ||||
| Governed cost actions (not just recommendations) | ||||
| App replatforming (Java, .NET, Python legacy → cloud-native) | ||||
| On-prem database migration with schema optimization | ||||
| Parallel-run validation before cutover | ||||
| 1-click rollback for migrations and changes | ||||
| QA regression testing for application changes | ||||
| Performance testing vs. baseline SLAs | ||||
| SOX / HIPAA / PCI DSS compliance evidence packs | ||||
| COBOL / RPG / NATURAL source code refactoring | ||||
| RACF / ACF2 / Top Secret identity migration | ||||
| Server / VM lift-and-shift | ||||
| Common RDBMS migration (SQL Server, MySQL, PostgreSQL) | ||||
| Cloud-native workload security posture |
How QuickCloud and Cloud-Native Tools Fit Together
Most teams use both. Cloud-native tools are excellent at what they were designed to do — server discovery, VM lift-and-shift for non-critical workloads, and common RDBMS replication to cloud targets. QuickCloud handles the modernization layer those tools deliberately leave open: cross-cloud cost governance, app replatforming, schema-optimized database migration, QA regression validation, compliance evidence generation, and mainframe code and identity migration for enterprises that need it.
The practical question is not which one — it is where does each one stop.
When cloud-native tools are sufficient on their own
This is a genuinely narrow set of conditions. Cloud-native tools cover your full needs only if all of the following apply:
- Your cloud infrastructure is already clean and cloud-native — no legacy monoliths, no on-prem databases needing migration to cloud, and no architecture decisions you've been meaning to undo for years.
- You operate on a single cloud provider with no multi-cloud cost visibility needs, no cross-account tagging inconsistencies, and no desire to see what you're actually spending.
- Your migration is VM-level lift-and-shift only — you are moving infrastructure, not transforming applications.
- You have no active compliance frameworks (SOX, HIPAA, PCI DSS) that require audit evidence across migration or deployment phases.
- You have no performance SLOs to validate against a baseline — before or after any change.
- You have no mainframe, AS/400, or legacy on-premises infrastructure requiring COBOL, RPG, or RACF migration.
If even one of these conditions does not hold, there is a QuickCloud product that adds meaningful value — even if mainframe modernization is not on your roadmap.
A note on free tooling
AWS MGN and Azure Migrate are free and are legitimate starting points for understanding your server estate before a migration budget is approved. If you are in early discovery, start there. When you move into actual transformation — application refactoring, legacy database migration, compliance gates, performance validation — that is where QuickCloud picks up.
Frequently Asked Questions
Common questions from SaaS engineering teams and cloud architects evaluating QuickCloud alongside cloud-native tooling.
Go beyond what your cloud provider offers.
AWS, Azure, and GCP will help you land workloads on their platforms. QuickCloud reduces your cloud costs across all three, replatforms the apps that don't belong on a VM, migrates on-prem databases cleanly, and validates everything before you cut over. Schedule a walk-through — no cloud provider markup required.
Platform plan: $143,988/yr · AWS, Azure, and GCP targets supported · No cloud provider dependency