The MDM software for one trusted record of every customer, supplier and product

MDM creates one reliable source of truth for master data across systems and business domains. PIM focuses on product information that is enriched for marketing and omnichannel sales.

• MDM: cross-domain (customer, supplier, location, product), focused on consistency and governance.
• PIM: product-centric (attributes, copy, media, variants), optimized for channel readiness.
• Together: MDM sets the overall master data strategy, PIM puts the product domain to work in markets and channels.

Yes. In Pimcore, PIM, MDM and DAM share one data model. Product master data and channel-ready product content therefore do not need syncing between two systems.

Pimcore licenses by edition, not by record, user seat or API call. The Professional Edition is 9,900 $ per year and covers the commercial licence and Pimcore Store access. The Enterprise Edition is 29,900 $ per year and adds enterprise features, support and SLAs. Pimcore PaaS is quoted on your setup. Because nothing is priced per record, your licence cost stays flat as your master data grows.

Multiple master data domains on one platform: product data, but also customer, supplier, location and other master data.

• Multi-domain: many entities, one governance approach.
• Shared rules: validation, responsibilities and processes work the same across domains.
• Fewer silos: one central place instead of islands in ERP, CRM and Excel.

Product master data stays in one governed record that serves every market and channel, instead of a separate copy per region.

• Linked, not duplicated: market and channel specific information hangs off the same record, so a correction does not have to be repeated per region.
• Standards based: classifications such as ETIM or GS1 can be imported, extended and distributed per channel.
• One set of rules: validation, responsibilities and approval workflows apply across domains and channels, so quality does not depend on who maintains which region.
• Built for volume: the platform handles millions of complex data points as domains, channels and users grow.

A golden record is the one trusted version of an entity, built from all the systems that hold data about it.

• Bring together: collect and combine data from different systems.
• Clean and standardize: remove duplicates, contradictions and inconsistencies.
• Govern: rules and ownership keep the record correct and traceable over time.

Organizations need to integrate faster, deliver in smaller steps and involve business teams directly.

• Integration by default: API-first reduces friction with existing systems.
• Start small, scale fast: modularity replaces big-bang projects.
• Faster value: focus on concrete use cases like data quality, matching or consolidation.
• Business adoption: role-based governance lets business users contribute without an IT project for every change.

Through API-first onboarding and distribution, and through file and CSV imports when legacy systems have no clean API.

• Onboarding: ingest, transform and unify data from ERP, CRM or a data warehouse via API, ETL or file import.
• Distribution: publish consistent master data to systems and channels.
• Automation: scheduled imports, updates and workflows reduce manual effort.

Yes. MDM data can be exchanged via GraphQL and REST, and webhooks support event-based push and pull.

• GraphQL: each system queries exactly the fields it needs.
• Webhooks: changes such as an update or approval trigger downstream systems right away, which works well for orchestration with tools like n8n.

The platform core is open, so integration is not limited to what a vendor chooses to expose. You can read the code, extend it and adapt an integration yourself.

• Open interfaces: GraphQL, REST and webhooks are part of the platform, alongside ETL and file import for systems without a clean API.
• Extend instead of wait: with access to the source code, custom integrations and transformations do not depend on a vendor roadmap.
• Nothing priced per record: connecting another system or domain does not change what the licence costs.
• One data model: PIM, MDM and DAM share it, so there is nothing to synchronise between them.

Pimcore models hierarchies, relations and cross-domain links, and grows with your requirements.

• Built to grow: add attributes and structures as things change.
• Linked, not duplicated: one consistent record instead of copies.
• Industry standards: import or model classifications like ETIM or GS1, then extend them.

Validation rules, mandatory fields and integrity checks turn raw data into trusted master data.

• Mandatory fields and rules: enforce completeness before data moves on.
• No-code constraints: unique values, regex validation, required attributes.
• Transparency: quality becomes measurable.

Pimcore supports matching, cleansing and consolidation to unify records from different sources.

• Matching and cleansing: detect and clean duplicates during onboarding.
• Consolidation and survivorship: merge data elements from several sources into one record, with rules that decide which value wins.
• Governance: conflicts are resolved through defined approval workflows.

Time-to-value is fastest when you start domain-first and deliver one use case end to end. Whether that fits in 90 days depends on data readiness, source systems and scope.

• Start small: one high-impact domain instead of a big bang.
• Fast onboarding: import, transformation and validation reduce friction.
• Scale iteratively: add domains and processes after the first win.

Augmented MDM uses AI, ML and automation to speed up typical MDM work, especially data quality, profiling and anomaly detection.

• Anomaly detection: catch outliers before they spread into systems and reports.
• Less manual stewardship: automation takes over repetitive data quality work.
• Better insights: AI-supported profiling helps teams decide faster.

Access is controlled through role-based access control (RBAC) and permissions down to field level and content level, with SSO and 2FA. Users only see and change what they are allowed to.

Yes. An audit trail logs user actions, and governance features such as validations, mandatory fields and privacy checks support GDPR-related processes. That traceability matters for internal audits and regulatory requirements.

Yes. Pimcore runs in the cloud, on-premise or as PaaS, depending on your security, compliance and operating needs. In a hybrid setup you keep sensitive data under your own control and scale where it makes sense.

Pimcore is built for enterprise scale and handles millions of complex data points, even when data, domains and users grow at the same time.

• Horizontal scaling: architecture and infrastructure scale with load.
• API-ready: data stays consumable under heavy use, including headless setups.

Pimcore is open core. The platform core is open and you keep full access to the code and to your own data. Professional, Enterprise and PaaS add commercial licensing, support and SLAs on top of that core. Your data model stays yours, whichever edition you run.