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KNIME VS Spark Streaming

Compare KNIME VS Spark Streaming and see what are their differences

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

KNIME logo KNIME

KNIME, the open platform for your data.

Spark Streaming logo Spark Streaming

Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.
  • KNIME Landing page
    Landing page //
    2023-09-28
  • Spark Streaming Landing page
    Landing page //
    2022-01-10

KNIME videos

+ Add

What Is KNIME?

More videos:

  • Review - KNIME Analytics: a Review
  • Review - Should you learn KNIME for machine learning: My thoughts after a month of use (2019)

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 KNIME and Spark Streaming)

KNIME

Spark Streaming

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Stream Processing
0 0%
Stream Processing
100% 100
Business & Commerce
100 100%
Business & Commerce
0% 0
Data Management
0 0%
Data Management
100% 100

User comments

Share your experience with using KNIME and Spark Streaming. 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 KNIME and Spark Streaming

KNIME Reviews

Top 10 Tableau Open Source Alternatives: A Comprehensive List
Knime Analytics Platform is an open-source Business Intelligence software that has been developed as an integration platform for creating analytical reports. It is a software that might be difficult for a novice to use. However, for Data Scientists and other Data professionals, particularly those who want to work with R, Python, or other Predictive Machine Learning tools,...
Source: hevodata.com
Top 10 Data Analysis Tools in 2022
KNIME KNIME is an open-source tool that allows you to build or manipulate software to fit your company goals. KNIME is a free data analysis tool. KNIME is a valuable tool that is freely accessible and can be modified due to its open architecture. However, there is a paucity of learning materials and a need for better visualization.
Source: www.spiceworks.com
15 data science tools to consider using in 2021
Some platforms are also available in free open source or community editions -- examples include Dataiku and H2O. Knime combines an open source analytics platform with a commercial Knime Server software package that supports team-based collaboration and workflow automation, deployment and management.
Source: searchbusinessanalytics.techtarget.com

Spark Streaming Reviews

We have no reviews of Spark Streaming yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Spark Streaming should be more popular than KNIME. 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.

KNIME mentions (2)

  • Replace SAP BI with what?
    I'd recommend to look into the free and open source KNIME tool (knime.com). It may not look easy to use right away, but if you stick with it for a little while and attend its learning guides, KNIME will grow on you. You can even have it scheduled using Microsoft Task Scheduler or CRON for free. For me, it has augmented the capabilities of Power BI, Looker Studio, Cognos, Excel, and other proprietary tools. Its... Source: 12 months ago
  • More "pythonic" way of writing my API query?
    That would cause a problem because ultimately this query will be scheduled to run multiple times a day on a KNIME server. Source: about 1 year ago

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 / 5 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 KNIME and Spark Streaming, you can also consider the following products

RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

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

datarobot - Become an AI-Driven Enterprise with Automated Machine Learning

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

Montecarlito - MonteCarlito is a free Excel-add-in to do Monte-Carlo-simulations.

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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