Six contracts. Seven learning curves.
One fragmented mess.
Most SaaS engineering teams end up here: CloudHealth for costs, Wiz for security, BlazeMeter for performance, custom scripts for database migration, and months of manual effort for the app replatforming work no tool automates. Each tool has its own contract, its own learning curve, and no awareness of what the others are doing. QuickCloud covers all seven areas for $143,988/yr — integrated, with shared context across every product.
The Biggest Gap in Any DIY Stack: App Modernization
There is no SaaS tool on the market that automates replatforming a legacy Java EE monolith, .NET Framework app, or Python 2.x codebase into cloud-native microservices. This isn't a gap that can be filled by adding another vendor — it simply doesn't exist as a productized SaaS offering. Engineering teams either spend 6–18 months doing it manually, hire consultants, or defer the work indefinitely while the monolith accumulates more complexity.
QuickCloud's App Modernization (AI) product is purpose-built for this gap — AI-assisted decomposition of legacy codebases into cloud-native services, with parallel-run validation to confirm the replatformed app behaves identically to the original before cutover.
Product-by-Product: DIY Stack vs. QuickCloud
What the DIY market offers for each workstream — and where QuickCloud covers the same ground with less cost and no integration overhead.
No dedicated SaaS product exists. Custom development effort, Spring migration guides, manual containerization work.
There is no SaaS tool that automates decomposition of a Java EE monolith, .NET Framework app, or Python 2.x codebase into cloud-native microservices. Teams spend months on manual refactoring with no parallel-run validation to confirm the replatformed app behaves identically to the original.
App Modernization (AI) — AI-assisted decomposition of Java, .NET, Python, COBOL, and RPG legacy apps into cloud-native microservices. Parallel-run validation confirms the refactored app matches original behavior before cutover.
CloudHealth / Cloudability, Apptio Cloudability, Spot by NetApp
These tools provide solid multi-cloud cost visibility and reserved instance recommendations, but their output is a report — not a governed action. Recommendations sit unactioned for weeks. There is no cross-tool context: a spike in compute spend during a database migration looks like runaway waste with no explanation.
Modernization, Security & Cost Intelligence (AI) — multi-cloud cost governance with context from the rest of the platform. Governed savings actions, not just recommendations. Understands which spend is migration-phase and which is operational waste.
AWS DMS (free for supported sources), Flyway / Liquibase (schema versioning), custom scripts for cutover
AWS DMS handles replication but does not optimize schemas for cloud performance. Flyway and Liquibase manage schema versioning but not data migration. No tool in the DIY stack combines schema optimization, data migration, parallel-run validation, and 1-click rollback in a single workflow.
Database Migration (AI) — schema-optimized migration with parallel-run validation, automated cutover planning, and 1-click rollback. Supports MySQL, PostgreSQL, Oracle, SQL Server, and on-premises database sources.
Wiz, Lacework, Prisma Cloud, Orca Security
All four are strong cloud-native CSPM/CWPP tools for runtime detection and posture visibility. None integrate with migration or deployment activity — a misconfiguration introduced during a database migration cutover looks the same as a standing misconfiguration. None generate audit-ready compliance evidence packages.
Modernization, Security & Cost Intelligence (AI) — continuous posture monitoring with full awareness of the migration lifecycle. Automated compliance evidence packs for SOX, HIPAA, PCI DSS, and SOC 2 at every phase gate.
Cypress, Playwright, Jest (open source) or Tricentis Tosca, SmartBear TestComplete (enterprise)
Open source tools require substantial setup to produce parallel-run comparisons for migration validation. Tricentis and TestComplete are full-featured but have no concept of comparing old-system vs. new-system output across identical inputs. Neither generates migration-phase audit evidence.
QA Automation (AI) — parallel-run comparison built for migration validation. Runs old and new systems against identical inputs, diffs outputs at every phase gate, and generates auditor-ready evidence automatically.
BlazeMeter, k6 Cloud, Gatling Enterprise
All three are strong load testing platforms for web APIs and microservices. None have awareness of your pre-migration performance baselines — they test what you tell them to test, but do not know whether the migrated environment meets the SLAs of the system it replaced.
Performance & Load Testing (AI) — load testing calibrated against pre-migration baselines. Validates that the new environment meets the performance SLAs of the system it replaced, before you cut over.
Heirloom Computing, Micro Focus COBOL Server (Broadcom), LzLabs Software Defined Mainframe
Heirloom and Micro Focus are runtime emulation products — your COBOL runs on Linux, not as cloud-native services. None cover AS/400 RPG, HP NonStop, Unisys, NATURAL/ADABAS, or any non-IBM legacy platform.
Mainframe Modernization (AI) — actual source code transformation: COBOL, RPG, NATURAL, JCL, and 165+ asset types to Java, Python, or containerized cloud-native services. No COBOL runtime dependency.
No SaaS exists. Custom scripting or consultants.
RACF, ACF2, and Top Secret migration to cloud IAM is a gap the entire market has failed to productize. Every organization doing this today is writing custom Python scripts against IBM APIs or paying consulting rates.
Identity & Access (IAM) Migration (AI) — automated RACF, ACF2, and Top Secret to cloud IAM (AWS IAM, Azure Entra ID, Okta). Preserves role hierarchies, group memberships, and access rules without manual scripting.
Total Cost: DIY Stack vs. QuickCloud
Vendor license costs only — before integration engineering, learning curves, and renewal management overhead.
SaaS team DIY stack (6 tools)
For enterprise teams also modernizing mainframe: add Heirloom / Micro Focus ($150K–$300K), Qlik Attunity ($30K–$100K), and consultants for identity migration ($50K–$200K).
+ 6–12 months integration engineering + ongoing glue code maintenance + 6 renewal negotiations/yr
Integrated out of the box. No integration engineering. One contract. One renewal.
At the midpoint of the SaaS DIY range ($555K), QuickCloud is roughly 6× cheaper — before counting integration overhead.
All 7 products.
One platform. One contract.
No integration overhead.
The Hidden Costs of DIY
The vendor license cost is just the beginning. The real cost of a DIY stack is the organizational overhead that never appears on a procurement spreadsheet.
Integration engineering: 6–12 months of unpaid overhead
Six tools means six APIs, six authentication models, six data schemas, and six reporting formats. Someone has to build the pipelines that connect them. That person is a senior engineer. Realistically, building a unified view from this stack takes a 2–3 person team six to twelve months — before anyone has run a single migration or replatforming job. QuickCloud ships integrated out of the box.
No shared context across tools — each product operates in isolation
When Wiz finds a critical misconfiguration in your cloud environment, does your database migration pipeline know to pause? When your database migration causes a compute spike, does CloudHealth flag it as migration spend rather than waste? With a DIY stack, the answer is no — each tool sees its own slice of reality. QuickCloud shares context across all seven products because they are one platform.
Six renewal cycles, six vendor relationships, six support queues
Annual contract negotiations, procurement approvals, legal reviews, and security assessments — multiplied by six vendors. One vendor raises prices 30% at renewal. Another gets acquired mid-contract (CloudHealth was acquired by VMware, which was then acquired by Broadcom). Another discontinues a feature you depend on. The management overhead of a DIY stack is substantial and ongoing.
Assembling a SOC 2 or HIPAA audit pack from six tools is a compliance nightmare
Your auditors want evidence of security controls, data migration integrity, and regression testing results in a coherent package. With a DIY stack, that evidence lives in six different formats across six different SaaS applications. Someone has to manually export, normalize, and assemble it. QuickCloud generates a unified audit package automatically at every phase gate.
Learning curve multiplication
Every tool requires onboarding. Your engineers need to understand Wiz's connector setup, Cloudability's tagging strategy, Tricentis's scriptless framework, BlazeMeter's test plan format, and your own custom migration scripts — all at the same time, while also executing the actual work. The cognitive overhead of a multi-tool stack is a real productivity cost that never appears on a vendor quote.
Frequently Asked Questions
Common questions from engineering leaders evaluating a DIY stack vs. QuickCloud.
One platform. Seven products. No integration tax.
Stop assembling a cloud stack from six separate vendors. QuickCloud covers every workstream — cost, security, app replatforming, database migration, QA, performance, and more — for $143,988/yr, integrated and ready in hours.
Platform plan: $143,988/yr · All 7 products · Single contract · No integration overhead