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Bijection vs Celonis
Celonis is the best-known name in process mining. It reads event data from systems such as SAP, Oracle and Salesforce, builds an object-centric model of how orders, invoices and shipments actually move, shows where processes stall, and triggers actions to fix them. Its Context Model, launched in 2026, gives that picture to AI agents, including agents built on other platforms. It was founded in 2011, and more than 1,400 companies use it, according to Celonis.
Bijection starts from the other end. Rather than mining how processes ran in your existing systems, it is where a process runs: a transactional database holding your ontology and operations, defined in TypeScript, where each change is approved, recorded and sent back to the systems that own the data. It is younger and smaller, and has no process mining.
- What it is
- BijectionA transactional database and runtime for your ontology, operations and applications.
- CelonisA process intelligence platform that mines ERP and CRM data into an object-centric model of how your processes actually run, and acts on what it finds.
- Where you start
- BijectionDefining the process: objects, operations and approval rules, in code.
- CelonisMeasuring the process: event data from your ERP and CRM, mined into an object-centric model.
- How you build
- BijectionTypeScript definitions in your Git repository, written by developers or coding agents. There are no visual builders yet.
- CelonisStudio for low-code apps and dashboards, PQL queries, Action Flows for automation, Python in the ML Workbench, and prebuilt suites for supply chain, finance and several industries.
- Where it runs
- BijectionA dedicated single-tenant environment per customer, operated by us. Not in your cloud account or on premises today.
- CelonisCelonis-managed SaaS on AWS, Azure and Google Cloud, with zero-copy access to data in Microsoft Fabric, Databricks and Amazon S3.
- Changes to other systems
- BijectionDeclared operations. The intent is recorded before the call goes out, and an unanswered call stays unknown until it is reconciled.
- CelonisAction Flows and the Orchestration Engine trigger actions in source systems based on what the analysis finds.
- AI
- BijectionModel calls are bounded steps with typed output. Agents reach data through scoped MCP endpoints and go through the same approvals as people.
- CelonisProcess Copilots in Slack and Teams, an MCP server, and process context for agents built in Copilot Studio, Amazon Bedrock and other platforms.
- Maturity
- BijectionEarly. A small team and a focused core.
- CelonisFounded in 2011, a Leader in Gartner’s 2026 Magic Quadrant for Process Intelligence, with customers such as BMW, PepsiCo and Mondelez.
Choose Celonis if
- You want to measure and improve processes such as purchase-to-pay or order-to-cash, from data already in SAP or Oracle.
- You want prebuilt process suites and a large partner ecosystem to deliver them.
- Your agents are built elsewhere and need process context rather than a new place to run.
Choose Bijection if
- You want to run the process in a new system, not only analyse the old one.
- Changes cross several systems, and each one has to be approved, recorded and reconciled.
- You would rather define the business in code, reviewed and versioned like the rest of your software, and let coding agents write most of it.
Sources
What this page says about Celonis comes from these public pages, last read on 28 September 2026. Products change; if something here is out of date, tell us and we will correct it.