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Thomson Reuters Datastream VS QPR ProcessAnalyzer

Compare Thomson Reuters Datastream VS QPR ProcessAnalyzer and see what are their differences

Thomson Reuters Datastream logo Thomson Reuters Datastream

Thomson Reuters Datastream is a financial time series database that allows to identify and examine trends, generate and test ideas and develop view points on the market.

QPR ProcessAnalyzer logo QPR ProcessAnalyzer

QPR ProcessAnalyzer extracts and reads the timestamps used to record specific events along procurement and/or supply chains.
  • Thomson Reuters Datastream Landing page
    Landing page //
    2021-10-16
  • QPR ProcessAnalyzer Landing page
    Landing page //
    2023-07-23

Thomson Reuters Datastream videos

SEGMEN : LITERACY TALK WITH LIBRARIAN "INTRODUCTION TO THOMSON REUTERS DATASTREAM EIKON"

QPR ProcessAnalyzer videos

Process Discovery with QPR ProcessAnalyzer

More videos:

  • Review - QPR ProcessAnalyzer in Brief
  • Review - QPR ProcessAnalyzer - Process KPIs

Category Popularity

0-100% (relative to Thomson Reuters Datastream and QPR ProcessAnalyzer)
Databases
100 100%
0% 0
Business & Commerce
0 0%
100% 100
Time Series Database
100 100%
0% 0
Office & Productivity
0 0%
100% 100

User comments

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What are some alternatives?

When comparing Thomson Reuters Datastream and QPR ProcessAnalyzer, you can also consider the following products

InfluxData - Scalable datastore for metrics, events, and real-time analytics.

Celonis - Celonis offers process mining tool for analyzing & visualizing business processes.

KX - Kx Systems has a high-performance vector database, kdb+, with a built-in programming language, q, that sets the standard for time-series analytics.

Signavio Process Intelligence - Signavio Process Intelligence takes your data and turns it into actionable insights for your organization. Learn more with a free, personalized demo!

Spotify Heroic - Heroic time series database.

Software AG webMethods - Software AG’s webMethods enables you to quickly integrate systems, partners, data, devices and SaaS applications