Top 10 Celonis Alternatives 2027
Celonis pioneered the process mining market, offers the largest selection of pre-built connectors and was again named a Leader in the 2026 Gartner® Magic Quadrant™ for Process Intelligence Platforms. An alternative still makes sense when pricing on request, multi-month rollouts, dependence on a specific ecosystem or a purely frequency-based analysis model do not fit your needs. This list ranks the ten most relevant Celonis alternatives and states honestly for each one when Celonis remains the better choice. It reflects the market as of October 2026, with an outlook on 2027.
Updated October 2026 · Published by Noreja · Methodology disclosed
The Top 10 at a Glance
| Rank | Solution | Best for |
|---|---|---|
| 1 | Noreja | Causal root-cause analysis, fast start |
| 2 | SAP Signavio | SAP-centric landscapes |
| 3 | UiPath Process Mining | Turning mining into automation |
| 4 | Microsoft Power Automate Process Mining | Low-barrier entry on Microsoft stack |
| 5 | ARIS Process Mining | Conformance against governed models |
| 6 | IBM Process Mining | Regulated industries, on-premises |
| 7 | QPR ProcessAnalyzer | Process mining native in Snowflake |
| 8 | Apromore | Salesforce and Agentforce environments |
| 9 | mpmX | Self-service on Qlik, Snowflake, Databricks |
| 10 | ABBYY Timeline | Document-intensive processes |
How We Ranked
Time to value
How quickly does the tool deliver reliable insights – and how much data extraction and platform rollout has to come first?
Analysis paradigm
Does the solution only depict sequences and frequencies, or does it reconstruct cause-and-effect relationships? That determines how reliable measures and AI recommendations are.
Ecosystem fit
Does the tool fit the existing landscape of ERP, automation and data platform – or does it presuppose a specific vendor stack?
Cost transparency
Are packages and prices publicly traceable, and can you start with one scoped process instead of an enterprise-wide program?
Transparency note: this ranking is published by Noreja, and Noreja is part of the list. The criteria above are disclosed and structurally favor causal, graph-based approaches. Information on other vendors is based on publicly available sources (as of October 2026); feature scope and packaging change frequently – the respective vendor’s documentation is authoritative. Trademarks belong to their respective owners.
The Top 10 in Detail
Noreja
Vendor: Noreja Intelligence GmbH
Best for: Causal root-cause analysis, fast start
Where Celonis builds processes from extracted event logs and directly-follows frequencies, Noreja connects relational source systems directly via their primary and foreign keys in an Event Knowledge Graph. On top of it the platform reconstructs causal and temporal relationships – and distinguishes whether a deviation is a legitimate process path or an error pattern.
- Causal and temporal model instead of mere frequencies of activity sequences
- Start process by process with a scoped proof-of-value and publicly listed pricing
- Minerva and Workbench with free LLM choice – local, privately hosted or cloud
Keep in mind: If you need a very broad range of pre-built connectors, standard KPIs and process apps for many processes at once, Celonis offers the larger selection.
SAP Signavio
Vendor: SAP
Best for: SAP-centric landscapes
For organizations whose processes run mostly in SAP, Signavio is the most obvious alternative: connectivity to SAP source systems is largely pre-configured, and mining, modeling and process governance sit in one suite. Since February 2026, generally available Joule Agents support process analysis.
- Deep, largely pre-configured connectivity to SAP source systems
- End-to-end suite from modeling through mining to conformance
- Leader in the 2026 Gartner Magic Quadrant – according to the vendor, for the fourth year running
Keep in mind: In heterogeneous landscapes with many non-SAP sources, Celonis with its broader connector selection often remains the more flexible choice.
UiPath Process Mining
Vendor: UiPath
Best for: Turning mining into automation
UiPath works as an alternative when analysis is mainly meant to surface automation candidates. Process mining, task mining and communications mining feed directly into building and running software robots, and with Maestro UiPath orchestrates agents, robots and people in BPMN processes.
- Seamless transition from analysis to RPA and agent implementation
- Combined view of system, desktop and communication data
- Integrated governance and ROI tracking for automation initiatives
Keep in mind: If broad process diagnosis across many systems matters more than automation, Celonis is analytically more comprehensive.
Microsoft Power Automate Process Mining
Vendor: Microsoft
Best for: Low-barrier entry on Microsoft stack
Microsoft brings process mining into the familiar Power Platform. If you already work with Power Automate, Power BI and Microsoft 365, you can start without a new tool, with low-code interfaces and natural-language queries. That makes it the most accessible alternative for teams that want to try process mining first.
- Tight integration with Azure, Power BI and Microsoft 365
- Low entry barrier through low-code and familiar interfaces
- Conversational queries via integrated language models
Keep in mind: For deep analysis of large, cross-system ERP processes beyond the capacity and storage quotas of the Power Platform, Celonis remains the more powerful choice.
ARIS Process Mining
Vendor: ARIS
Best for: Conformance against governed models
ARIS is the alternative for organizations that already model and govern their processes in the ARIS repository. Mining continuously compares observed as-is flows with the governed to-be models, and Process Core serves as a digital twin of processes, roles, rules and controls – also as guardrails for AI agents.
- Tight coupling of mining and the governed model repository (BPMN, EPC)
- AI-supported root-cause miner correlating delay factors
- Leader in the 2026 Gartner Magic Quadrant for Process Intelligence Platforms
Keep in mind: Without a maintained ARIS repository the core advantage falls away – Celonis then offers the more direct, data-driven entry.
IBM Process Mining
Vendor: IBM
Best for: Regulated industries, on-premises
IBM Process Mining is an alternative for organizations with strict requirements on data residency and operations. It can run on-premises and in hybrid setups, supports object-centric process mining and adds data-driven what-if simulation plus an LLM-powered assistant based on watsonx.
- On-premises and hybrid operation for regulated industries
- Object-centric analysis instead of a rigid single-case view
- What-if simulation and predictive, prescriptive recommendations
Keep in mind: If you do not use the IBM automation suite and want a broad library of ready-made process apps, Celonis usually gets you there faster.
QPR ProcessAnalyzer
Vendor: QPR Software
Best for: Process mining native in Snowflake
Finnish vendor QPR runs its process mining natively in Snowflake, so the data stays on the existing data platform. ProcessAnalyzer combines process mining, process modeling and object-centric process mining, and since April 2026 has exposed its results to AI agents such as Claude, ChatGPT or Microsoft Copilot through an MCP interface.
- Runs natively in Snowflake, without separate mining data storage
- MCP interface for AI agents since April 2026
- Visionary in the 2026 Gartner Magic Quadrant – for the fourth year running
Keep in mind: Without Snowflake as the data platform, or when you need a large enablement and partner ecosystem, Celonis offers the broader foundation.
Apromore
Vendor: Salesforce
Best for: Salesforce and Agentforce environments
Apromore grew out of process mining research and is now part of Salesforce, which aims to connect process intelligence with its Agentforce platform. The solution covers process and task mining, digital-twin simulation, root-cause analysis and compliance monitoring.
- Process and task mining in one solution
- Digital-twin simulation of process changes before implementation
- Strategic link to Salesforce Agentforce for agentic automation
Keep in mind: If the focus is on ERP processes outside the Salesforce world, Celonis offers more mature connectivity to transactional systems.
mpmX
Vendor: MEHRWERK
Best for: Self-service on Qlik, Snowflake, Databricks
mpmX from German vendor MEHRWERK moves process mining onto the data platform a company already runs: preparation, storage and mining run natively on Qlik, Snowflake or Databricks. Object-centric process mining is part of the standard scope, and data-savvy departments can start in self-service.
- Data-platform-native instead of separate mining infrastructure
- Object-centric process mining resolves n:m relationships between objects
- Included in the 2026 Gartner Magic Quadrant for Process Intelligence Platforms
Keep in mind: Without Qlik, Snowflake or Databricks in-house the foundation is missing – Celonis as a standalone platform is then the simpler path.
ABBYY Timeline
Vendor: ABBYY
Best for: Document-intensive processes
ABBYY Timeline combines task and process mining with ABBYY’s heritage in document processing. It surfaces context from documents and emails and therefore suits workflows where much of the information is unstructured – for example regulated application or claims processes.
- Strong extraction of document and email context
- Root-cause and compliance evaluations for regulated workflows
- AI-supported process prediction and simulation from historical patterns
Keep in mind: For structured, transaction-driven ERP processes without a document focus, Celonis is the more obvious choice.
What Will Matter in 2027
From platform rollout to proof-of-value
In 2027, process mining budgets will be measured more strictly against results that can be shown quickly. Tools that start with one scoped process and offer transparent packages gain ground against enterprise-wide programs.
Causation instead of correlation
The more AI agents make recommendations based on process data, the more it matters whether a model captures causes or only temporal proximity. Frequency-based process graphs reach their limits here.
Process intelligence as context for agents
With MCP interfaces and agent platforms such as Agentforce, Copilot or Joule, process mining becomes a context source for AI. What counts is how completely the data model captures objects, relationships and enterprise knowledge.
Frequently Asked Questions
Who are Celonis’ main competitors?
Besides Celonis, the 2026 Gartner Magic Quadrant for Process Intelligence Platforms includes SAP Signavio, ARIS, Pegasystems, UiPath, Microsoft, IBM, ServiceNow, Appian, QPR, iGrafx, mpmX and Salesforce (Apromore). Specialized vendors add to this, such as Noreja with causal process intelligence or ABBYY Timeline for document-intensive processes.
When does an alternative to Celonis make sense?
Mainly when a fast, scoped start matters more than a broad platform, when the budget calls for transparent pricing, or when analysis should deliver causes rather than just frequencies. A strong commitment to SAP, Microsoft, Salesforce or a specific data platform also often favors the matching alternative.
Is there an open-source alternative to Celonis?
Yes – ProM and the Python library PM4Py are established open-source tools from research. They work well for teaching, experiments and data science teams, but offer no enterprise connectors, operations or support – data extraction and preparation rest entirely with your own team.
Which Celonis alternative suits SAP landscapes?
In SAP-dominated landscapes, SAP Signavio is the most obvious choice thanks to its pre-configured SAP connectivity. If you want to analyze SAP and non-SAP data in one model without tying analytical value to an S/4HANA transformation, consider Noreja: it connects objects across source systems via their key relationships in one Event Knowledge Graph.
Is Noreja cheaper than Celonis?
Noreja publishes its packages and prices on its website, while Celonis quotes prices on request – a direct comparison is therefore only possible with a concrete offer. Starting with a scoped proof-of-value keeps Noreja’s initial investment predictable.
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