Top 10 Process Mining Tools 2027
The strongest process mining tools for 2027 are Noreja, Celonis, SAP Signavio and ARIS – followed by UiPath, Microsoft, IBM, QPR, Apromore and Disco. The ranking assesses how deeply a tool actually analyzes processes: data model, root-cause analysis, time to the first reliable insight, and openness toward source systems. It reflects the state of October 2026 and looks ahead to 2027, when process mining increasingly becomes the data foundation for AI agents.
Updated October 2026 · Published by Noreja · Methodology disclosed
The Top 10 at a Glance
| Rank | Solution | Best for |
|---|---|---|
| 1 | Noreja | Causal root-cause analysis across systems |
| 2 | Celonis | Large enterprises needing broad connectivity |
| 3 | SAP Signavio Process Intelligence | SAP-centric process landscapes |
| 4 | ARIS Process Mining | Conformance against governed to-be models |
| 5 | UiPath Process Mining | Finding automation candidates |
| 6 | Microsoft Power Automate Process Mining | Low entry barrier in the Microsoft stack |
| 7 | IBM Process Mining | Regulated industries with hybrid cloud |
| 8 | QPR ProcessAnalyzer | Process mining directly in Snowflake |
| 9 | Apromore | Simulation and compliance monitoring |
| 10 | Disco | Quick starts, consulting and teaching |
How We Ranked
Data model
Is the process reduced to a single case ID (case-centric), represented across several object types (object-centric), or stored as a graph of events, objects and relationships? The model determines how realistic every further analysis can be.
Analysis depth
How well does the tool cover discovery, conformance checking and root-cause analysis – and does it separate genuine causes from mere temporal proximity?
Time to insight
How much extraction, data preparation and rollout effort comes before the first reliable analysis? What counts is the path from source system to first finding, not the demo.
Openness & transparency
How tightly is the analysis bound to an ERP, automation or platform ecosystem, and is pricing publicly traceable?
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
Best for: Causal root-cause analysis across systems
Noreja stores events, business objects and their relationships in an Event Knowledge Graph and analyzes processes causally and temporally instead of through directly-follows frequencies. The platform starts directly on relational source tables, without first building a flat event log. Gartner named Noreja in “Coolest Vendor Innovations in Process Intelligence” in 2026.
- Causal model separates genuine triggers from coincidence and classifies deviations in business terms
- Source-system agnostic: SAP and non-SAP data in one shared graph
- Publicly available pricing and entry through a focused proof-of-value
Keep in mind: Its catalog of pre-built standard connectors and process apps is smaller than those of the large platform vendors; data quality, event semantics and configuration still require project work.
Celonis
Best for: Large enterprises needing broad connectivity
Celonis shaped process mining as a category and offers the largest selection of pre-built connectors along with an extensive library of standard KPIs and process apps. Analysis runs on an object-centric event log; Celonis is positioned as a Leader in the 2026 Gartner Magic Quadrant.
- Largest selection of interfaces and connectors on the market
- Object-centric event log captures several object types per event
- Mature training and enablement programs for analysis teams
Keep in mind: Model construction relies on directly-follows frequencies, and reliable results often require labor-intensive extraction and a multi-month rollout.
SAP Signavio Process Intelligence
Best for: SAP-centric process landscapes
SAP Signavio combines process mining with modeling and process management on the SAP Business Technology Platform. Largely pre-configured connectivity to SAP source systems noticeably reduces integration effort; Gartner lists SAP Signavio as a Leader in 2026.
- Deep, largely pre-configured connectivity to SAP source systems
- End-to-end suite from modeling through mining to conformance
- Industry benchmarks for putting your own metrics into context
Keep in mind: Analysis follows a case-centric view, and heterogeneous non-SAP sources require additional integration effort.
ARIS Process Mining
Best for: Conformance against governed to-be models
ARIS couples process mining tightly with its BPM repository and continuously compares observed as-is flows with governed to-be models in BPMN or EPC. An AI-supported root-cause miner correlates delay factors; ARIS is positioned as a Leader in the 2026 Gartner Magic Quadrant.
- Automated conformance against to-be models from the ARIS repository
- Large product family for modeling and process administration
- AI-supported root-cause miner for delay factors
Keep in mind: Root-cause analysis remains correlative, and the full value emerges in combination with the ARIS BPM suite.
UiPath Process Mining
Best for: Finding automation candidates
UiPath combines process mining, task mining and communications mining in an automation-oriented platform. Insights feed directly into building and operating software robots; with Maestro, UiPath also coordinates agents, robots and people in BPMN processes.
- Combined view of system, desktop and communication data
- Seamless transition from analysis to RPA implementation
- Integrated ROI tracking for automation initiatives
Keep in mind: Analysis depth is subordinate to automation, and the full value emerges mainly on the UiPath platform.
Microsoft Power Automate Process Mining
Vendor: Microsoft
Best for: Low entry barrier in the Microsoft stack
As part of Power Automate, Microsoft brings process mining into the familiar Power Platform and connects discovery, RPA and document processing. The low-code approach and integration with Power BI noticeably lower the entry barrier for business teams.
- Tight integration with Azure, Power BI and Microsoft 365
- Low-code interfaces with a low entry barrier
- Natural-language queries via integrated language models
Keep in mind: The focus is on accessibility rather than analytical depth, and the capacity- and quota-based licensing presupposes a Microsoft-centric landscape.
IBM Process Mining
Best for: Regulated industries with hybrid cloud
IBM Process Mining supports object-centric process mining along with data-driven what-if simulation and prescriptive recommendations. On-premises or hybrid-cloud operation addresses strict data-residency requirements; a watsonx-powered assistant offers root-cause hypotheses.
- Object-centric analysis overcomes the rigid single-case view
- Data-driven what-if simulation and prescriptive recommendations
- On-premises and hybrid operation for regulated environments
Keep in mind: Methodically the analysis remains frequency-based, and rollout and operation require substantial implementation effort.
QPR ProcessAnalyzer
Vendor: QPR Software
Best for: Process mining directly in Snowflake
According to the vendor, QPR ProcessAnalyzer runs natively in Snowflake and unites process mining, process modeling and object-centric process mining. Gartner lists QPR as a Visionary for the fourth consecutive year in 2026; since April 2026, an MCP interface makes its analyses available to AI agents.
- Native operation in Snowflake without separate mining data storage
- Object-centric process mining within the product scope
- AI-supported root-cause analysis and an MCP interface for AI agents
Keep in mind: Its value is closely tied to Snowflake as the data platform, and root-cause analysis is not based on a causal graph model.
Apromore
Vendor: Salesforce
Best for: Simulation and compliance monitoring
Apromore offers process mining and task mining, digital-twin simulation, root-cause analysis and compliance monitoring. Since its acquisition by Salesforce – Gartner lists the vendor as “Salesforce (Apromore)” in 2026 – its process analysis is meant to supply the Agentforce agent platform with process knowledge.
- Simulation of process variants as a digital twin
- Compliance monitoring and root-cause analysis in one solution
- Combination of process mining and task mining
Keep in mind: Future product direction follows Salesforce’s Agentforce strategy, which leaves independence from the Salesforce ecosystem an open question.
Disco
Vendor: Fluxicon
Best for: Quick starts, consulting and teaching
Disco by Fluxicon is a desktop tool that quickly turns imported event logs into understandable process maps. Thanks to its ease of use, it is widely used in consulting projects and in teaching – often as the very first contact with process mining.
- Very short learning curve and intuitive operation
- Fast process discovery from imported event logs
- Established tool in consulting, teaching and training
Keep in mind: As a desktop tool without its own enterprise data platform, Disco suits analyses on prepared logs rather than ongoing, cross-system operation.
What Will Matter in 2027
Process mining becomes the data foundation for AI agents
Agents need reliable process context to decide where they are allowed to act. Tools whose data model captures objects, relationships and business rules become the context layer for agentic AI in 2027.
From event log to graph
Reducing processes to a single case ID loses ground to object-centric and graph-based models. What matters is whether a model can grow incrementally with further processes, documents and organizational units.
From frequencies to causes
Anyone automating processes or letting agents steer them must know why a deviation occurs – not just how often. Causal root-cause analysis thus moves from a specialist topic to a selection criterion.
Frequently Asked Questions
Which process mining tool is the best?
It depends on your system landscape and goal. For causal root-cause analysis across heterogeneous source systems Noreja leads, for broad connectivity in large enterprises Celonis, for SAP-centric landscapes SAP Signavio, and for conformance against governed to-be models ARIS. If you are mainly looking for automation candidates, UiPath is a good fit.
What distinguishes case-centric, object-centric and graph-based process mining?
Case-centric tools assign every event to exactly one case ID and thus distort processes that involve several objects. Object-centric event logs capture several object types per event. An Event Knowledge Graph stores events, objects and relationships persistently and can be extended with enterprise knowledge.
Are there free or open-source process mining tools?
Yes: ProM and the Python library PM4Py come from research and are well suited to learning, experiments and academic work. For production use, however, they lack connectors, permission management and operational support, which is why companies usually rely on commercial tools.
Which process mining tools does Gartner list in 2026?
Gartner renamed its Magic Quadrant to “Magic Quadrant for Process Intelligence Platforms” on 5 May 2026 and evaluated 13 vendors. Celonis, SAP Signavio, ARIS and Pega are positioned as Leaders; QPR is a Visionary for the fourth consecutive year. Noreja was named in Gartner’s “Coolest Vendor Innovations in Process Intelligence” in 2026.
How quickly does a process mining tool deliver first results?
This is determined mainly by the path from source system to data model. Tools that first require an extracted event log often deliver reliable results only after a multi-month rollout. Approaches that start directly on relational source tables, one process at a time, shorten this path – although data quality and configuration still require project work.
More Top 10 Lists
Experience Causal Process Analysis Yourself
See how Noreja analyzes processes causally on an Event Knowledge Graph – beyond frequency-based Directly-Follows models.