Tag: on-premise CPQ

For manufacturers, the choice between cloud and on-premise CPQ depends less on where the software is hosted than on how deeply it must connect product configuration with engineering, pricing, quoting and production systems. Cloud CPQ is usually easier to deploy, access and update, while on-premise CPQ can provide greater control over infrastructure, data location and tightly coupled internal integrations. Neither option is automatically better for complex products.

A manufacturing CPQ system should be evaluated as more than a sales quoting tool. CPQ means Configure, Price, Quote. In an industrial environment, configuration may select dimensions, materials, motors, pumps, valves, electrical components and safety options; validate engineering constraints; calculate price and cost; generate a configurable bill of materials (BOM); create engineering outputs; and transfer order data to enterprise systems. A deployment decision must therefore account for the complete data flow, not only the quote screen.

In general, cloud CPQ is often the better starting point when a manufacturer needs rapid deployment, access for distributed sales channels, managed infrastructure and easier software updates. On-premise CPQ may be more appropriate when strict data-residency rules, isolated networks, legacy system dependencies, highly customized integrations or internal infrastructure control are decisive. A hybrid architecture can be appropriate when configuration and quoting are cloud-based but engineering, CAD, PLM or production systems remain inside the company network.

For background, see the guide to manufacturing CPQ and the detailed explanation of product configuration and rules engines.

What is cloud CPQ?

Cloud CPQ is CPQ software operated in a cloud environment rather than installed entirely on the manufacturer’s own servers. The vendor or a hosting provider normally manages some or all of the infrastructure, application runtime, storage, monitoring and software deployment. Users typically access the system through a web interface or application programming interface (API).

Cloud deployment does not mean that every system has the same architecture. A vendor may offer a multi-tenant application shared by many customers, a logically isolated hosted environment, or a dedicated private cloud instance. Buyers should verify the actual tenancy model, release process, data location, backup policy, integration methods and customization limits.

In manufacturing, cloud CPQ may contain the product model, configuration rules, pricing logic, quote documents and user permissions. It may also connect through APIs or integration middleware to customer relationship management (CRM), enterprise resource planning (ERP), product lifecycle management (PLM), product data management (PDM), computer-aided design (CAD), product information management (PIM) and manufacturing execution systems (MES). The presence of an integration option should not be confused with a complete, tested integration for a particular manufacturer.

What is on-premise CPQ?

On-premise CPQ is installed and operated on infrastructure controlled by the manufacturer or by a hosting partner under a more traditional dedicated operating model. The company usually controls the servers, network access, operating system, database, backup arrangements, security controls and timing of application upgrades.

On-premise does not necessarily mean that every component is physically located in the company’s main factory. It can include software hosted in a private data center or a dedicated managed environment. The important distinction is that the manufacturer retains a higher degree of responsibility and control for the application environment and its operation.

This model can be useful where CPQ must communicate with internal systems over private networks, where production data cannot leave a controlled environment, or where the organization has established processes for infrastructure, identity management, disaster recovery and application support. It also creates more operational work. The manufacturer may be responsible for patching, capacity planning, monitoring, backup testing, high availability and compatibility with connected systems.

Cloud vs on-premise CPQ: the main differences

Criterion	Cloud CPQ	On-premise CPQ	Manufacturing question
Infrastructure	Usually operated by the vendor or hosting provider	Operated by the manufacturer or its designated infrastructure partner	Who is accountable when the configuration service is unavailable during quoting or order entry?
Deployment speed	Often faster because servers and base environments already exist	May require infrastructure, network, security and installation preparation	Does the implementation schedule include firewall, identity and production-system work?
Updates	Usually delivered by the vendor according to a defined release process	Scheduled and tested by the manufacturer or implementation team	Can product rules, custom integrations and CAD automation survive an upgrade?
Data control	Depends on the provider’s regions, controls, contracts and architecture	Greater direct control over storage location and network boundaries	What customer, design, pricing and production data must remain in a controlled environment?
External access	Generally suited to dealers, distributors, remote sales teams and supplier users	May require VPN, secure gateways or additional access architecture	How will dealers configure products without exposing internal systems?
Integration	Often uses APIs, webhooks, middleware or secure connectors	Can use internal network access and existing enterprise integration patterns	Can CPQ exchange current items, prices, inventory and orders with ERP and engineering data with PLM?
Customization	May be constrained by the vendor’s extension model and shared release cycle	May permit deeper environment-level customization, but increases maintenance	Are custom calculations and rules genuinely differentiating, or are they creating technical debt?
Operational responsibility	Shared with the provider, subject to the contract and service boundaries	Primarily the manufacturer’s responsibility	Does the IT team have the skills and capacity to operate a mission-critical configuration service?
Cost structure	Often includes recurring software, hosting or service charges	Includes licenses or subscriptions plus infrastructure, support and upgrade costs	What is the total cost over the expected life of the product model?

Why manufacturing CPQ makes the decision more complex

Generic sales CPQ may focus on selecting products, applying discounts and producing a proposal. Manufacturing CPQ can include all of those activities, but it may also act as a controlled product-model and engineering decision system.

Consider a configurable industrial pump. The user may select flow rate, pressure, fluid, temperature, casing material, impeller diameter, motor power, seal type, connection standard, enclosure rating and control panel. Rules must prevent incompatible combinations. Engineering calculations may determine a suitable motor or impeller. Pricing may depend on material, performance and supplier costs. The resulting BOM may need separate engineering and manufacturing representations. A CAD system may generate a drawing, while ERP needs item numbers, routings or order data.

Some CPQ products support only a portion of this flow. A platform may provide guided selling and pricing but require a separate configurator, rules engine, CAD automation service or BOM application. Buyers should therefore compare the deployment architecture of the complete solution, not assume that cloud or on-premise describes every capability.

How cloud and on-premise CPQ fit into the manufacturing architecture

A typical manufacturing CPQ architecture contains several logical layers:

1. User and channel layer: sales engineers, application engineers, dealers, distributors, ecommerce users or customers interact with a configuration experience.
2. Configuration layer: a product model represents families, options, attributes, dependencies and constraints. Rules validate choices and may calculate derived values.
3. Commercial layer: costing, price lists, discounts, margins, currencies, approvals and quote documents are applied.
4. Engineering layer: calculations, CAD automation, drawings, specifications and engineering review may be triggered.
5. Manufacturing data layer: the system may generate or select a configurable BOM, engineering BOM (EBOM) or manufacturing BOM (MBOM), depending on the process.
6. Enterprise integration layer: ERP, CRM, PLM, PDM, MES and other systems exchange master data, transactions and status information.

Cloud and on-premise deployment affect the communication paths between these layers. In a cloud design, an internal ERP or PLM system may need an outbound connector, an API gateway, a message broker or a secure integration service. In an on-premise design, CPQ may access internal databases and services more directly, although direct database access can create governance and upgrade problems.

PLM manages product lifecycle information and revisions, while PDM commonly manages engineering files and design data. ERP manages business transactions such as items, customers, orders, purchasing and financial information. MES supports execution and visibility on the shop floor. CRM manages customer and opportunity information. These systems are related but not interchangeable. A CPQ deployment should specify which system owns each data object and how revisions are synchronized.

Read more about CPQ integrations with ERP, CRM, PLM, PDM, CAD and MES.

Cloud CPQ for manufacturers

Potential advantages

• Faster initial access: infrastructure provisioning and standard environments may be available without a new internal server project.
• Distributed channel support: sales offices, dealers and distributors can use a browser-based application without extending the factory network to every user.
• Centralized product-model access: approved configuration rules, pricing logic and quote templates can be maintained in one managed service.
• Managed technical operations: the provider may handle infrastructure monitoring, backups, availability and platform maintenance within agreed service boundaries.
• Scalable integration options: APIs and asynchronous messaging can connect cloud CPQ to multiple ERP, CRM or ecommerce environments.
• Reduced local deployment dependency: new sales teams may not require a locally installed application.

Limitations and risks

• Connectivity dependence: a remote plant or dealer with unreliable connectivity may need offline processes or local fallback procedures.
• Integration across network boundaries: sending configuration results to an internal CAD, PLM or ERP system requires carefully designed security, identity and error handling.
• Release constraints: the vendor’s upgrade schedule may affect custom rules, integrations and extensions.
• Data residency and confidentiality: product designs, customer information, prices and engineering calculations may be subject to contractual or regulatory restrictions.
• Shared service dependencies: availability, performance and support depend partly on the provider’s architecture and service agreement.
• Subscription and exit considerations: a manufacturer should understand data export, model portability, API access and assistance if the relationship ends.

Cloud is not automatically simpler for a manufacturer with complex engineering. A large product model still requires ownership, testing, version control and a disciplined release process. Moving hosting to a provider does not remove the need to maintain rules for materials, dimensions, options, revisions and manufacturing outputs.

On-premise CPQ for manufacturers

Potential advantages

• Control over the environment: the manufacturer can define network zones, storage locations, access policies and infrastructure standards.
• Proximity to internal systems: CPQ can be placed near ERP, PLM, PDM, CAD services and file repositories where low-latency or private communication is important.
• Release control: upgrades can be scheduled around engineering releases, factory shutdowns and peak quoting periods.
• Support for isolated operations: plants or business units with restricted networks may prefer a system that does not require continuous external access.
• Deeper environment customization: an organization with strong development and operations capabilities may have more control over custom services and integration components.

Limitations and risks

• Infrastructure responsibility: servers, databases, backups, monitoring, patching, disaster recovery and capacity planning must be assigned and funded.
• Slower channel expansion: secure access for dealers and external sales teams can require additional identity and network architecture.
• Upgrade burden: heavily customized deployments may be difficult to update, leaving old product rules or security components in place.
• Higher dependence on internal specialists: the company may need people who understand the CPQ application, integration layer, databases and infrastructure.
• Business continuity exposure: a local outage, failed integration server or unavailable data center can interrupt quoting and order preparation.

On-premise deployment is not a substitute for governance. An internally hosted product model can still contain duplicate rules, obsolete prices, undocumented calculations and uncontrolled changes. The manufacturer remains responsible for deciding who owns the model and how changes are tested.

Product configuration, engineering and BOM considerations

The most important deployment question is often whether the product model is merely a sales catalog or a source of manufacturing-relevant decisions.

Rules-based configuration uses explicit logic such as “if option A is selected, option B is required” or “this valve material is unavailable with that fluid.” Constraint-based configuration evaluates allowed combinations against technical constraints, ranges and relationships, such as pressure, temperature, load, capacity or dimensional limits. Guided selling asks users business-oriented questions and recommends products or options; it may use rules, but it does not necessarily perform full engineering validation.

Cloud and on-premise systems can support any of these approaches only if the specific product provides the required functionality. Buyers should test realistic models, not a small demonstration product. A useful proof of concept might include a pump with material compatibility, motor sizing, regional electrical standards, price breaks, replacement components and a manufacturing output.

A BOM is a structured list of components and quantities. An EBOM describes the engineering view of a product, while an MBOM describes how it is manufactured and may include production-specific assemblies, consumables, work instructions or shop-floor requirements. A configurable BOM represents alternatives, conditions or rules rather than one fixed structure.

Some CPQ systems generate a BOM directly; others select existing ERP or PLM structures, call a separate configuration service, or pass option selections to downstream applications. The deployment model must support the chosen ownership pattern. For example, a cloud CPQ application may create a configuration result that an on-premise PLM system converts into an EBOM. Alternatively, CPQ may send a sales configuration to ERP while engineering creates the final MBOM later.

CAD automation is similarly variable. A CPQ platform may integrate with parametric CAD, invoke a design automation service, generate drawings or only display a 2D or 3D representation. Verify whether CAD files are created synchronously, asynchronously or by a separate engineering system, and how revisions, failures and approvals are handled. See the guide to CAD and engineering automation and the guide to BOM generation, costing, pricing and quote automation.

Security, availability and data governance

Security should be evaluated as an architecture and operating responsibility, not as a simple cloud-versus-on-premise label. Cloud providers may offer strong physical security, encryption, identity controls, logging and backup capabilities, while an individual manufacturer may have weaker controls in its own data center. Conversely, some manufacturers require physical or network isolation that a standard cloud service cannot provide.

Ask both deployment models the same questions:

• Where are customer, pricing, product and engineering data stored?
• How are users, dealers, service accounts and APIs authenticated?
• Is data encrypted in transit and at rest?
• How are configuration changes and price changes logged?
• What are the recovery objectives for an outage?
• How are backups isolated, retained and tested?
• How are vulnerabilities and patches handled?
• Can access be limited by role, business unit, product family or region?
• How are data exports and deletion handled at contract termination?

Availability must also be considered in operational terms. A sales team may tolerate a temporary delay in a proposal system, while an order-entry process that creates production data may require a defined recovery process. If the CPQ service cannot reach ERP, PLM or CAD, the organization needs clear behavior: queue the transaction, block submission, allow a controlled draft, or route the configuration for manual review.

Integration patterns to evaluate

Manufacturers should document the direction, ownership and timing of every important data exchange. Typical examples include:

Data or event	Possible source	Possible CPQ use	Important design issue
Customer and opportunity	CRM	Start a configuration and associate it with an account	Identity matching and authorization
Item, cost and price data	ERP or PIM	Calculate a current quote	Effective dates, currencies and synchronization failures
Product revision and engineering attributes	PLM or PDM	Apply approved options and design rules	Revision control and lifecycle status
Configuration result	CPQ	Create an order, request engineering review or generate a BOM	Idempotency, validation and audit history
CAD request	CPQ or engineering workflow	Generate a model, drawing or specification	Long-running jobs, errors and file ownership
Production status	ERP or MES	Show order progress or confirm release	Do not confuse quote status with manufacturing status

Cloud systems commonly use REST or other APIs, webhooks, message queues and managed integration platforms. On-premise systems may use internal APIs, service buses, file exchange or direct network connections. Direct database integration can appear fast but often bypasses business rules and creates upgrade risk. In either architecture, transactions should be traceable, retriable and protected against duplicate orders.

CTO, ETO, MTO and ATO implications

Deployment choice should reflect the manufacturer’s operating model.

• Configure-to-order (CTO): customers select from a controlled set of options, and the configured product can usually be assembled or produced using established structures. Fast, reliable configuration and BOM transfer are priorities.
• Engineer-to-order (ETO): the customer’s requirements trigger new engineering work. CPQ may capture requirements, perform preliminary calculations, create a project or send a controlled request to engineering rather than produce a final manufacturing BOM immediately.
• Make-to-order (MTO): production begins after a specific order, even if the product is based on an established design. Accurate options, cost, lead time and order data are important.
• Assemble-to-order (ATO): standard modules are assembled after the order. The configuration and inventory model must agree on compatible modules and availability.

A cloud architecture may work well for dealer-led CTO and ATO processes, while an on-premise or hybrid architecture may be preferred when ETO depends on restricted CAD, simulation or PLM environments. This is not a rule. The correct choice depends on the actual interfaces, data classifications and workflow controls.

See manufacturing CPQ workflows for more detail on CTO, ETO, MTO, ATO and the sales-to-engineering handoff.

How to choose between cloud and on-premise CPQ

Use a weighted evaluation rather than a general preference for cloud or on-premise software. The following sequence is practical for a manufacturing selection project:

1. Map the end-to-end workflow. Document how a requirement becomes a configuration, price, quote, engineering review, BOM, order and production release.
2. Classify the data. Identify customer data, product designs, prices, costs, formulas, CAD files, supplier information and production data. Record residency and access requirements.
3. Define system ownership. Decide which system owns products, options, rules, revisions, costs, prices, customers, BOMs and order status.
4. Measure integration complexity. List ERP, CRM, PLM, PDM, CAD, PIM and MES interfaces, including legacy systems and plants with different architectures.
5. Test representative products. Use a real product family with dependencies, incompatible options, calculations, revisions and downstream outputs.
6. Evaluate operating capability. Compare the manufacturer’s ability to run infrastructure, manage releases, monitor integrations and support users.
7. Model lifecycle cost. Include implementation, data cleanup, integration, licenses, hosting, internal support, upgrades, testing, training and eventual replacement.
8. Plan governance. Assign owners for product models, rules, prices, engineering calculations, templates and integrations.
9. Confirm exit and continuity plans. Verify backups, exports, disaster recovery, manual fallback processes and the ability to continue quoting if a connected system is unavailable.

A proof of concept should include failure cases. Try an invalid material combination, an expired price, a missing ERP item, a CAD job that fails, a product revision that is not released and a configuration that requires engineering approval. These tests reveal more than a demonstration of a successful quote.

The CPQ implementation guide covers requirements, migration, testing, deployment, governance and maintenance. Vendor selection criteria are also discussed in the manufacturing CPQ comparisons and selection guides.

When a hybrid CPQ architecture makes sense

Hybrid deployment places different functions in cloud and internal environments. For example, a manufacturer may expose cloud CPQ to dealers and sales teams, while keeping PLM, PDM, CAD automation, detailed cost data or production release services inside the corporate network.

A hybrid design can balance external accessibility with internal control, but it introduces a boundary that must be designed carefully. The project should specify:

• which data is copied to the cloud and which remains internal;
• how identities and permissions cross the boundary;
• how configuration revisions are synchronized;
• how long-running CAD or engineering jobs report status;
• what happens when the internal service is unavailable;
• how errors, retries and duplicate requests are handled;
• which system is the audit authority for the final configuration and order.

Hybrid is not automatically a compromise-free option. It can increase integration and monitoring requirements. It is most useful when the business has a clear reason to separate user access from sensitive engineering or production services.

Common mistakes in the deployment decision

• Choosing based only on hosting cost: integration, model maintenance, data migration and testing often dominate the real implementation effort.
• Assuming cloud means no IT involvement: cloud CPQ still requires identity, integration, data governance, release management and support.
• Assuming on-premise means full control without cost: internal control requires people, processes, infrastructure and investment.
• Evaluating a simple catalog: a few products and prices do not test engineering constraints or manufacturing outputs.
• Confusing a quote with an order-ready configuration: a priced proposal may not contain an approved BOM, CAD output or ERP-valid item structure.
• Ignoring model ownership: unclear responsibility for rules and revisions creates inconsistent quotes regardless of deployment model.
• Underestimating connected-system failures: CPQ must define behavior when prices, inventory, item masters or engineering services cannot be reached.
• Over-customizing early: custom code can make either deployment model harder to test, upgrade and govern.

Conclusion

Cloud and on-premise CPQ are deployment choices, not substitutes for a sound manufacturing product model. Cloud CPQ can simplify access, support distributed channels and reduce infrastructure administration. On-premise CPQ can provide tighter control over networks, data and release timing. Hybrid architecture can separate dealer-facing configuration from internal engineering and production services.

The decisive questions are whether the system can represent the product accurately, enforce technical and commercial rules, produce the required engineering or manufacturing data, integrate with the existing enterprise landscape and remain maintainable as products change. Evaluate the complete workflow from customer requirement to production-ready information, then select the deployment model that the manufacturer can operate securely and govern over the product’s full lifecycle.

Semantic map

The article connects deployment architecture with the manufacturing CPQ entities and workflows below:

• Manufacturing CPQ connects product configuration, engineering validation, pricing, quoting, BOM generation and enterprise integration.
• Cloud CPQ connects distributed users and channels to centrally managed configuration services.
• On-premise CPQ connects internally controlled infrastructure to ERP, PLM, PDM, CAD and production systems.
• Hybrid CPQ connects cloud user access with internal engineering and manufacturing services.
• Configuration rules connect customer choices to valid product structures and technical constraints.
• Product revisions connect PLM or PDM data to approved configuration models.
• Configured products connect pricing decisions to EBOM, MBOM or order data.
• CAD automation connects configuration results to product-specific models and drawings.
• ERP connects CPQ with items, costs, customers, orders and commercial transactions.
• Manufacturing workflows connect CTO, ETO, MTO and ATO processes to downstream production.

Frequently asked questions

1. Is cloud CPQ better than on-premise CPQ for manufacturers?

Not universally. Cloud CPQ may suit distributed sales and dealer access, while on-premise CPQ may suit strict network control or deeply integrated internal environments. The product model and integration requirements should determine the choice.

2. What is the main advantage of cloud CPQ?

The main potential advantage is managed access to a CPQ application without the manufacturer operating all underlying infrastructure. It can also simplify access for remote sales teams and distributors.

3. What is the main advantage of on-premise CPQ?

On-premise CPQ gives the manufacturer greater direct control over infrastructure, network boundaries, data location and upgrade timing. That control comes with additional operating responsibility.

4. Can cloud CPQ connect to an on-premise ERP system?

Yes, if the CPQ and ERP provide suitable APIs, connectors or integration services. The design must address authentication, firewall access, synchronization, errors, retries and duplicate transactions.

5. Can on-premise CPQ support dealers and distributors?

Yes, but external access may require secure gateways, identity federation, a virtual private network or a separate channel architecture. The security and support implications should be tested.

6. Does cloud CPQ automatically generate a manufacturing BOM?

No. BOM generation is a capability of the specific CPQ product or connected solution. Some systems generate BOMs, some select existing structures, and others pass configuration results to ERP, PLM or a separate configurator.

7. Does on-premise CPQ provide better engineering automation?

Not automatically. CAD automation and engineering calculations depend on the software, integration design and product model. On-premise deployment may simplify access to internal CAD or PLM services, but capability still must be verified.

8. Is cloud CPQ suitable for engineer-to-order products?

It can be suitable for capturing requirements, performing preliminary calculations, pricing work and initiating engineering review. Whether it can produce final engineering outputs depends on the specific system and workflow.

9. What data does a manufacturing CPQ system need?

It may need product families, options, attributes, rules, constraints, dimensions, materials, costs, prices, currencies, customer data, revisions and output mappings. The exact data depends on the intended workflow.

10. Which system should own product configuration rules?

There is no universal answer. Rules may be maintained in CPQ, a dedicated configurator, PLM or another product-model service. Ownership should be explicit, versioned, tested and aligned with the approved engineering process.

11. How does cloud deployment affect CAD automation?

Cloud CPQ may call a cloud CAD service, a secure internal CAD service or an asynchronous engineering workflow. The architecture must handle file transfer, permissions, processing time, revisions and failed jobs.

12. Is on-premise CPQ more secure than cloud CPQ?

Security depends on controls, architecture and operations rather than location alone. Compare encryption, identity management, logging, patching, backup, monitoring, network isolation and incident response for both options.

13. What is hybrid CPQ?

Hybrid CPQ places some services in the cloud and others inside the manufacturer’s network. A common pattern is cloud access for sales and dealers with internal ERP, PLM, PDM or CAD services retained behind corporate controls.

14. How should manufacturers compare CPQ implementation costs?

Include product modeling, data cleanup, integration, migration, testing, training, infrastructure, support, upgrades, security, governance and ongoing rule maintenance. Comparing only license or hosting charges is incomplete.

15. Can a manufacturer migrate from on-premise CPQ to cloud CPQ?

Migration may be possible, but it requires assessment of product models, custom code, integrations, historical quotes, files, user identities and data-export formats. A pilot product family can reveal portability issues.

16. Can a manufacturer migrate from cloud CPQ to on-premise CPQ?

That depends on the vendor’s licensing, export facilities and whether the target system represents the same rules, calculations, documents and integrations. Contractual and technical exit requirements should be reviewed before selection.

17. Does deployment choice affect quote accuracy?

Deployment location does not directly determine accuracy. Accuracy depends on product data, rules, calculations, price governance, integration quality, testing and user processes. Poorly maintained models produce errors in any hosting model.

18. What should a CPQ proof of concept include?

Use a representative configurable product with dependencies, technical constraints, pricing logic, revisions, engineering approval and a downstream output such as an order structure or BOM. Include invalid combinations and integration failure tests.

19. Should ERP or PLM replace manufacturing CPQ?

ERP and PLM serve different primary purposes. ERP manages business and production transactions, while PLM manages product lifecycle and engineering information. CPQ can coordinate customer-facing configuration, commercial logic and selected downstream outputs.

20. How often must manufacturing CPQ rules be maintained?

Rules should change whenever products, engineering constraints, prices, suppliers, regulations or manufacturing processes change. A governed release process should include ownership, testing, approval and version history.