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Celonis VS Spark Streaming

Compare Celonis VS Spark Streaming and see what are their differences

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

Celonis logo Celonis

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

Spark Streaming logo Spark Streaming

Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.
  • Celonis Landing page
    Landing page //
    2023-07-28
  • Spark Streaming Landing page
    Landing page //
    2022-01-10

Celonis videos

+ Add

What is Celonis Process Mining? Analyze and optimize your processes.

More videos:

  • Review - Purchase to Pay (Celonis Process Mining)
  • Review - Behind the Scenes with Celonis: Incorporating RPA into Process Mining

Spark Streaming videos

+ Add

Spark Streaming Vs Kafka Streams || Which is The Best for Stream Processing?

More videos:

  • Tutorial - Spark Streaming Vs Structured Streaming Comparison | Big Data Hadoop Tutorial

Category Popularity

0-100% (relative to Celonis and Spark Streaming)

Celonis

Spark Streaming

Business & Commerce
100 100%
Business & Commerce
0% 0
Stream Processing
0 0%
Stream Processing
100% 100
Office & Productivity
100 100%
Office & Productivity
0% 0
Data Management
0 0%
Data Management
100% 100

User comments

Share your experience with using Celonis and Spark Streaming. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Spark Streaming seems to be more popular. It has been mentiond 3 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.

Celonis mentions (0)

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

Spark Streaming mentions (3)

  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 4 months ago
  • Machine Learning Pipelines with Spark: Introductory Guide (Part 1)
    Spark Streaming: The component for real-time data processing and analytics. - Source: dev.to / over 1 year ago
  • Spark for beginners - and you
    Is a big data framework and currently one of the most popular tools for big data analytics. It contains libraries for data analysis, machine learning, graph analysis and streaming live data. In general Spark is faster than Hadoop, as it does not write intermediate results to disk. It is not a data storage system. We can use Spark on top of HDFS or read data from other sources like Amazon S3. It is the designed... - Source: dev.to / over 2 years ago

What are some alternatives?

When comparing Celonis and Spark Streaming, you can also consider the following products

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!

Confluent - Confluent offers a real-time data platform built around Apache Kafka.

QPR ProcessAnalyzer - QPR ProcessAnalyzer extracts and reads the timestamps used to record specific events along procurement and/or supply chains.

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

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

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

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