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xlwings VS Spark Streaming

Compare xlwings VS Spark Streaming and see what are their differences

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

xlwings logo xlwings

xlwings is a Python library that makes it easy to call Python from Excel and vice versa

Spark Streaming logo Spark Streaming

Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.
  • xlwings Landing page
    Landing page //
    2023-09-14
  • Spark Streaming Landing page
    Landing page //
    2022-01-10

xlwings videos

+ Add

Automate Excel with Python and xlwings Part 1: Install xlwings and the basic

More videos:

  • Review - Integrating Excel and Python Using XLWings (ChEn 263 - Lecture 23, Part II)

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 xlwings and Spark Streaming)

xlwings

Spark Streaming

No Code
100 100%
No Code
0% 0
Stream Processing
0 0%
Stream Processing
100% 100
Project Management
100 100%
Project Management
0% 0
Data Management
0 0%
Data Management
100% 100

User comments

Share your experience with using xlwings 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 should be more popular than xlwings. 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.

xlwings mentions (1)

  • Blackjack model in excel
    I don't have, but looked into this. You would have to use microsoft VBA (Visual Basic for Applications) or even cleaner python with NumPy (xlwings.org) to do your modeling. Excel for input and viewing results. Source: over 2 years 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 / 3 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 xlwings and Spark Streaming, you can also consider the following products

Airtable - Airtable works like a spreadsheet but gives you the power of a database to organize anything. Sign up for free.

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

Smartsheet - Smartsheet is an intuitive online project management tool enabling teams to increase productivity using cloud, collaboration, & mobile technologies.

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

Glide - Send lightning fast video messages, see responses live or whenever it's convenient. Get closer to the ones you love with video communication.

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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