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Apache Spark VS QPR ProcessAnalyzer

Compare Apache Spark VS QPR ProcessAnalyzer and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Apache Spark logo Apache Spark

Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

QPR ProcessAnalyzer logo QPR ProcessAnalyzer

QPR ProcessAnalyzer extracts and reads the timestamps used to record specific events along procurement and/or supply chains.
  • Apache Spark Landing page
    Landing page //
    2021-12-31
  • QPR ProcessAnalyzer Landing page
    Landing page //
    2023-07-23

Apache Spark videos

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Weekly Apache Spark live Code Review -- look at StringIndexer multi-col (Scala) & Python testing

More videos:

  • Review - What's New in Apache Spark 3.0.0
  • Review - Apache Spark for Data Engineering and Analysis - Overview

QPR ProcessAnalyzer videos

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Process Discovery with QPR ProcessAnalyzer

More videos:

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

Category Popularity

0-100% (relative to Apache Spark and QPR ProcessAnalyzer)

Apache Spark

QPR ProcessAnalyzer

Databases
100 100%
Databases
0% 0
Business & Commerce
0 0%
Business & Commerce
100% 100
Big Data
100 100%
Big Data
0% 0
Office & Productivity
0 0%
Office & Productivity
100% 100

User comments

Share your experience with using Apache Spark and QPR ProcessAnalyzer. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Spark and QPR ProcessAnalyzer

Apache Spark Reviews

15 data science tools to consider using in 2021
Apache Spark is an open source data processing and analytics engine that can handle large amounts of data -- upward of several petabytes, according to proponents. Spark's ability to rapidly process data has fueled significant growth in the use of the platform since it was created in 2009, helping to make the Spark project one of the largest open source communities among big...
Source: searchbusinessanalytics.techtarget.com
Top 15 Kafka Alternatives Popular In 2021
Apache Spark is a well-known, general-purpose, open-source analytics engine for large-scale, core data processing. It is known for its high-performance quality for data processing – batch and streaming with the help of its DAG scheduler, query optimizer, and engine. Data streams are processed in real-time and hence it is quite fast and efficient. Its machine learning...
Source: www.spec-india.com
5 Best-Performing Tools that Build Real-Time Data Pipeline
Apache Spark is an open-source and flexible in-memory framework which serves as an alternative to map-reduce for handling batch, real-time analytics and data processing workloads. It provides native bindings for the Java, Scala, Python, and R programming languages, and supports SQL, streaming data, machine learning and graph processing. From its beginning in the AMPLab at...
Source: www.analyticsinsight.net

QPR ProcessAnalyzer Reviews

We have no reviews of QPR ProcessAnalyzer yet.
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Social recommendations and mentions

Based on our record, Apache Spark seems to be more popular. It has been mentiond 56 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Apache Spark mentions (56)

  • Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
    Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / 3 months ago
  • 🦿🛴Smarcity garbage reporting automation w/ ollama
    Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 4 months ago
  • Go concurrency simplified. Part 4: Post office as a data pipeline
    Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 6 months ago
  • Five Apache projects you probably didn't know about
    Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 6 months ago
  • Spark – A micro framework for creating web applications in Kotlin and Java
    A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 12 months ago
View more

QPR ProcessAnalyzer mentions (0)

We have not tracked any mentions of QPR ProcessAnalyzer yet. Tracking of QPR ProcessAnalyzer recommendations started around Mar 2021.

What are some alternatives?

When comparing Apache Spark and QPR ProcessAnalyzer, you can also consider the following products

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

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

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

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!

Hadoop - Open-source software for reliable, scalable, distributed computing

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

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