Table of contents
Release History
SAP
| Generation | 1st / 2nd Gen | 3rd Gen | 4th Gen |
|---|---|---|---|
| Product | RF (R/1) / R/2 | R/3 / mySAP ERP / SAP ERP 6.0 | S/4HANA |
| Architecture | Mainframe | Client-Server | On-premise / Cloud-ready |
| Launch | 1973 / 1979 | 1992 / 2004 / 2006 | 2015 |
Oracle
| Generation | 1st Gen | 2nd Gen | 3rd Gen | 4th Gen |
|---|---|---|---|---|
| Product | Oracle Financials | Oracle E-Business Suite (11i) | EBS R12 / PeopleSoft / JDE | Oracle Cloud ERP / NetSuite |
| Architecture | C/S (RDBMS) | Web-based | Web / On-premise (Integrated) | Cloud / SaaS (Multi-tenant) |
| Launch | 1994 | 2000 | 2005 – 2007 | 2012 / 2016 |
Microsoft
| Generation | 1st Gen | 2nd Gen | 3rd Gen | 4th Gen |
|---|---|---|---|---|
| Product | Navision / Great Plains | Microsoft Business Solutions (MBS) | Dynamics NAV / AX / GP | Dynamics 365 / Business Central |
| Architecture | Client-Server | C/S (Windows Integration) | 3-tier / Web Linkage | Cloud / SaaS (Azure) |
| Launch | mid-1990s | 2001 – 2002 | 2006 – | 2016 / 2018 |
Maintenance Support Period
| Vendor | Gen | Product / Version | Support End Date | Strategy & Remarks |
|---|---|---|---|---|
| SAP | 3rd Gen | SAP ERP 6.0 (Ehp5 or earlier) | Dec 13, 2025 | Deadline for Mainstream Support. |
| SAP ERP 6.0 (Ehp6 or later) | Dec 13, 2027 | Extended support (paid) available through the end of 2030. | ||
| 4th Gen | SAP S/4HANA Cloud | Ongoing | Next-gen suite defined as the migration destination for all customers. | |
| Oracle | 3rd Gen | Oracle EBS 12.2 / JDE 9.2 | At least through 2037 | “Applications Unlimited” ensures long-term support for legacy assets. |
| EBS 12.1.3 / JDE World | Ended 2022–2025 | Transitioned to Sustaining Support. JDE World A9.4 ended April 2025. | ||
| 4th Gen | Oracle Fusion Cloud ERP | Ongoing | 100% cloud-native SaaS architecture built from scratch. | |
| Microsoft | 3rd Gen | Dynamics AX / NAV / SL | Ends 2023–2028 | Fixed Lifecycle. AX ended Jan 2023. NAV 2018 ends Jan 2028. |
| Dynamics GP (18.x) | Dec 31, 2029 | Enhancements end in 2029. Security patches provided until April 2031. | ||
| 4th Gen | Dynamics 365 Business Central | Ongoing | Successor to NAV. Governed by Modern Lifecycle (18-month cycle). | |
| Dynamics 365 F&SCM | Successor to AX. “One Version” model with continuous updates. |
Implementation Flow & Phase Definitions
| Process Category | SAP(Waterfall) | Oracle(OUM) | Microsoft(Success by Design) |
|---|---|---|---|
| Analysis & Requirements |
Requirements Definition
Clarify project goals and required functions. Define new business processes, system scope, and implementation methods.
|
Analysis Phase
Analyze business requirements in detail and perform fit-gap analysis against standard functions to identify gaps.
|
Analysis Phase
Define business processes and verify alignment with standard features. Determine the overall solution architecture.
|
| Design |
Design Phase
Define external specifications (screens, reports, data, interfaces) and processing logic based on the requirements.
|
Design Phase
Define parameters, add-on extensions, data conversion designs, and interface specifications based on analysis results.
|
Design Phase
Determine configuration design, custom extensions, and data import specifications to meet defined requirements.
|
| Build & Development |
Implementation Phase
Create detailed design documents. Perform program development and unit testing for each developed function.
|
Build Phase
Set up environments, configure parameters, and develop programs. Conduct unit tests for all developed components.
|
Development Phase
Execute configuration, coding, and data migration script creation. Complete unit testing for individual features.
|
| Testing |
Testing Phase
Conduct integration and system testing to ensure proper operation, followed by User Acceptance Testing (UAT).
|
Test Phase
Verify quality through integrated testing of multiple functions, system-wide testing, and User Acceptance Testing (UAT).
|
Deployment (Validation)
Finalize validation through integration tests and UAT to ensure business processes can be executed as intended.
|
| Migration & Go-live |
Migration Phase
Migrate master and transaction data. Execute the switch from the legacy system to SAP following defined procedures.
|
Transition Phase
Migrate data to the production environment, conduct final user training, and execute the system cutover.
|
Deployment (Migration)
Complete final data migration and user training before switching over (deployment) to the production environment.
|
| Support & Maintenance |
Support & Maintenance
Resolve issues arising during production and provide system support to ensure smooth, steady-state operations.
|
Production Phase
Handle post-go-live inquiries and incidents, providing continuous support for stable system operations.
|
Operation Phase
Provide technical support and maintenance post-go-live, and plan for continuous system improvements.
|
Implementation Period & Cost
| Comparison Category | SAP | Oracle | Microsoft |
|---|---|---|---|
| Estimated Duration |
1 – 3+ Years
Often involves large-scale, multi-site deployments. Strict adherence to each phase leads to longer timelines.
|
1 – 2 Years
Can be shortened with standard cloud-based deployments, though global rollouts still require significant time.
|
6 Months – 1 Year
Favored by mid-market companies for its ability to enable quick small-start deployments compared to peers.
|
| Cost Scale |
Highest
In addition to license fees, specialized consultants for complex requirements definition and implementation account for a large portion.
|
Mid to High
Varies by license and cloud model. Similar to SAP, though bundle discounts with DB products may apply.
|
Relatively Lower
Easier to minimize initial setup and customization costs. TCO can be reduced through integration with Office products.
|
| Primary Cost Factors |
Phase & Quality Control
Significant resources are required for rigorous quality validation during the “Implementation,” “Testing,” and “Migration” phases.
|
Extensions & Add-ons
Costs are primarily driven by add-on development for unique business logic and complex system interfaces.
|
User Training & Config
While development costs are lower, efforts are focused on environment configuration and training for a wide user base.
|
| Approach Strategy |
Robust Full-scale Rollout
Ideal for companies that prefer a Waterfall approach to ensure a steady, reliable deployment across the entire organization.
|
Flexible Cloud Scaling
Suitable for phased implementation, starting with core financials and expanding functions as business needs grow.
|
Agile & Quick Launch
Focuses on maximizing standard features to go live quickly and improving the system continuously post-launch.
|
Japanese vs Foreign-affiliated Enterprises
| Comparison Category | Japanese Enterprises | Foreign-affiliated Enterprises |
|---|---|---|
| Implementation Approach |
Fit & Gap Approach
Emphasizes existing business processes and tends to customize the system to fit current operations. The coordination in the requirements definition phase can be lengthy.
|
Fit to Standard
Adapts business processes to global standards. Prioritizes the use of standard features and minimizes add-on developments to ensure consistency.
|
| Requirements Definition |
Bottom-up / User-led
Focuses on collecting detailed requests from front-line staff, which often leads to complex external specifications during the design phase.
|
Top-down / Governance-led
Fast decision-making by management, prioritizing the application of global templates to maintain group-wide governance.
|
| Primary Vendors |
SAP / Oracle / Domestic ERP
Vendors are chosen based on their ability to handle unique Japanese business practices, such as complex billing and distribution management.
|
SAP / Oracle / Microsoft
Focuses on vendors capable of global data integration. Microsoft is also favored for its ease of deployment in overseas branches.
|
Comparison by Company Size (L, M, S)
| Category | Large Enterprise | Mid-market | Small / Dept. |
|---|---|---|---|
| Duration |
1.5 – 3+ Years
Requires extensive effort for multi-site rollouts. Testing and Migration phases involve massive data volumes and multi-layered validation.
|
Around 1 Year
Covers core business processes with balanced resources allocated across all phases from design to implementation.
|
3 – 6 Months
Focuses on a “small start” approach. Rapid go-live is prioritized using standard parameter configurations.
|
| Budget Scale |
Hundreds of Millions to Billions (JPY)
High costs for licenses, infrastructure, and a large number of consultants for complex requirements definition.
|
Tens of Millions to Hundreds of Millions (JPY)
Focuses on ROI. Strictly selects necessary add-ons during the design phase to optimize implementation costs.
|
Millions to Tens of Millions (JPY)
Often utilizes SaaS models with monthly subscriptions to minimize initial upfront capital investment.
|
| Key Reasons for Selection |
SAP / Oracle
Chosen for robust global internal control, consolidated financial reporting, and high system integration capabilities.
|
Oracle / Microsoft
Selected based on the balance between future scalability and total cost of ownership.
|
Microsoft / Domestic ERP
Prioritizes user-friendliness and specific fit for localized business operations (e.g., localized manufacturing).
|
| Project Structure |
Dedicated PMO
A formal PMO structure manages multi-layered testing (integration/system) to ensure quality across the entire enterprise.
|
User-led Team
Key business users lead the definition of scope and work closely with implementation partners.
|
Concurrent Staff
A few management or IT staff make quick decisions to simplify the flow and prioritize deployment speed.
|
DX Concept
| SAP (Intelligent Enterprise) |
Oracle (Experience-First DX) |
Microsoft (Digital Business Platform) |
|
|---|---|---|---|
| Business Collaboration |
SAP Business Network Business process collaboration with external partners (suppliers, logistics, and services). |
Experiences / Engagement Management Multi-channel touchpoint management for customers and partners. Provides pre-defined digital experiences. |
Delivery / Microsoft 365 Collaboration via Teams and Outlook. Consistent service consumption across multiple devices. |
| Business Process |
Integrated Business Processes Realization of seamless end-to-end process integration across departments and systems. |
Industry Framework / Decoupling & Agility Decoupling “Experiences” from “Records” via API orchestration. Ensures agility while preserving legacy systems. |
Product Assembly / Power Automate Integrating individual services into specific workflows. Autonomous AI agents dynamically coordinate operations. |
| Business Application |
Industry Suite / Industry Cloud Automated application suites optimized for industries, such as S/4HANA, SuccessFactors, and Ariba. |
Systems of Record / Industry SaaS Proven core products (Siebel CRM, BRM, OSM) and industry-specific suites like DX4C and OBDX. |
Product Factories / Dynamics 365 Modular and interoperable business applications including Sales, Finance, SCM, and Business Central. |
| Business Technology |
Business Technology Platform (BTP) Common foundation for data-driven insights, AI, machine learning, and process automation. |
OCI / Intelligence Management Technical foundation integrating Gen 2 Cloud (OCI), Autonomous Database, AI/ML, and security. |
Azure / Fabric / Dataverse Elastic cloud infrastructure with unified data layers (Dataverse/Fabric) and ubiquitous AI (Copilot) capabilities. |
DX Benefits
| SAP (Intelligent Enterprise) |
Oracle (Experience-First DX) |
Microsoft (Digital Business Platform) |
|
|---|---|---|---|
Customer Satisfaction |
Customer Centricity via Insights AI and machine learning on BTP analyze customer data to provide deep insights, delivering personalized experiences through various applications. |
Consistent Experience Delivery Adaptive Customer Data Mastering synchronizes customer info across all channels in real-time, optimizing interactions with the latest context. |
Innovation via AI Agents Ubiquitous AI agents and Copilot enhance customer interactions. Achieves precise engagement based on a 360-degree customer view. |
Operational Efficiency |
End-to-End Integration Seamlessly integrates processes across departments and systems. Automates routine tasks to shift resources to high-value activities. |
Agility through Decoupling Decoupling “Experiences” from “Records” allows rapid frontend changes without impacting the backend. Autonomous Database reduces IT management overhead. |
Low-code and AI Support Rapid construction of automation apps via Power Platform. Copilot assists daily tasks across all layers, significantly accelerating operations. |
Cost Reduction |
Demand Forecasting & CF Optimization Data-driven AI demand forecasting reduces inventory loss. Business Network improves cash flow by making external processes transparent. |
Intelligent Revenue Management Intelligent Launch designs optimal offers based on market demand. Modern Monetization optimizes the cash collection cycle in real-time. |
Agentic Supply Chain Microsoft Fabric integrates enterprise data for advanced forecasting. AI agents autonomously monitor inventory and execute orders to maximize cash flow. |