EverFlow is a Process Mining start-up mainly based in Campinas (SP, Brazil) with a co-HQ in San Francisco, a spin-off of Icaro Tech’s EverFlow product. One of the solution’s strengths is its simple and intuitive design that helps non-expert users gain quick process insights. Besides pre-configured dashboards for poor performance, bottlenecks and rework, EverFlow is suitable for operational support with its case duration prediction and alert monitoring features. Social networks can be discovered and a Root Cause Analysis is available as well. The tool leverages cutting-edge technologies in Big Data and Machine Learning / AI to provide the ability to analyze huge volumes of events. Customer installations have been carried out in various fields such as real estate, banking, education and telecommunications.

Tool Name
EverFlow (Campinas, SP, Brazil; co-HQ in San Francisco, CA, USA)
Company Size
1-10 employees
Free Trial
Upon request
, On-Premises
Standalone upon request only
Embedded In
Tested Version
2.7.2 (SaaS) - Tested in 04/2020
Data Management
Import File Types
Database Connections
Oracle, PostgreSQL, Netezza, DB2, Microsoft SQL Server, Sybase Adaptive Server Enterprise via jTDS, MySQL and SQLite
ServiceNow Adapter, ServiceNow Generic Adapter, Web Service (REST, SOAP), S3/HDFS
Integrated ETL Functionality
Data Anonymization & Pseudonymization
Data Loading
  • Data Refresh: Incremental data loading, appending new data to an existing set of data
  • Scheduled Jobs = Automatic data loading in defined time intervals
Data Refresh
, Scheduled Jobs
Character Encodings
UTF-8 compatibility tested with special characters and various languages: Korean, Japanese, Trad. & Simplif. Chinese, Hebrew, Arabic, Russian
UTF-8 (verified
), ISO-8859-1 (Latin-1)
Attribute Types
, Event-level
Specify Business Hours
Working week
, Multiple shifts/day
, Exclude days
, Holiday calendar
Define Event Order
Manual definition of event ordering in case of identical timestamps. This criterion does not consider automatic ordering by the tool.
By selected column
Start/End Timestamp
2 timestamps
Process Discovery
» Process Graph
As-Is Process Visualization
Directly-Follows Graph (vertical), BPMN, Process Tree
Export As-Is Process Graph
For data exports (e.g. CSV) see “Export Reports” criterion
BPMN, PTML (process tree)
Performance Highlighting
Visual highlighting of process bottlenecks
Active time
, Idle time
Process Animation (Replay)
Adjust speed
, Adjust timeframe
, Switch time mode
, Zoom in case
Search and Filter in Graph
  • Search and find activity names (relevant for spaghetti-like graphs)
  • Filter activities/transitions directly from graph
, Filter
Graph Abstraction
Frequency Metrics
Activity frequency, Case frequency, From-to frequency
Time Metrics
The term “duration” is used when both active and waiting/idle times can be displayed
Tot/avg duration
Additional Graph Metrics
Cost metrics
, Custom metrics
Imported numerical attributes can be used as metrics (no custom KPIs)
» Process Analysis & Analytics
Process Benchmarking
Visual comparison
, Metric comparison
Process Benchmarking (Different Logs)
Visual comparison
, Metric comparison
Root Cause Analysis
Possible for event logs with case-level attributes
Variant Breakdown by
“Duration” refers to the case throughput time
Case count
Case and Activity List
Activity List
, Case List
, Case List for Variants
View Case Details
Rework Analysis
Dedicated rework dashboard available (pre-configured)
Edge/Transition Details
From-to activities: List of ingoing and outgoing activities for any selected activity
List of all transitions
, From-to activities
Conformance Checking
Compare As-Is and Target Process
Target Model Creation
Import model
(BPMN), Auto-create from as-is
, Create new
In-Graph Conformance Visualization
List of Compliance Violations
Four-Eyes Principle
Sequence Filtering
“(Not) Directly followed by” filtering
Conformance Root Cause Analysis
Possible for event logs with case-level attributes
Operational Support
Alert Generation
Predictive Analytics
Remaining time of running cases can be predicted
Recommendations (Prescriptive Analytics)
Advanced Enhancement Capabilities
Organizational Mining
Scenario Simulation
Decision Rule Mining
Views, Monitoring and Reporting
Export Reports
Events (CSV), Cases (CSV), Variants (BPMN, PTML)
Export Charts and Tables
Charts can be exported; tables are not available in dashboards
Custom Dashboards
Custom charts
Dashboards can be created with pre-configured chart types for imported attributes
, Custom tables
Custom Metrics/KPIs
KPI Thresholds
Deviation from defined thresholds can be detected through color differentiation
Advanced Charts
Dashboard offers >5 different chart types
World Map
Latitude & longitude coordinates
, Location by attribute (e.g. country codes, city names)
Save Filter Settings
UI Languages
English, Portuguese
Share & Collaborate
Share selection
; No further dedicated collaboration features
Security & Compliance
Role-Based Access
User Authentication
Audit Logs

Distinctive Focus and Features

  • Operational support: EverFlow’s operational support functionality helps the user get a prediction about how long open cases will take to complete. Running cases are listed in a table with information such as expected end timestamp, time remaining and time deviation (margin of error). Furthermore, alerts can be specified, monitored and managed by different stakeholders.
  • Big Data suitability: EverFlow is built on top of a big data environment. Events are stored in HDFS (Hadoop) while Spark or Presto is used for data processing. This makes EverFlow capable of handling large volumes of events. According to the vendor, logs with over a billion events and 1TB in size were successfully processed.
  • Enhanced process insights: EverFlow’s clustering feature identifies potential sub-processes of a discovered process. Thus, even for a complex process, cases with similarities can be grouped accordingly for an enhanced process understanding. Another noteworthy functionality is the capability to process unstructured free text columns by visualizing most widely used keywords in a world cloud or bubble chart.

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Disclaimer: The timeliness of provided information is based on the tested version and date as stated under “Tested Version”. No guarantee can be given about the correctness and accuracy of the information contained.

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