Software Alternatives, Accelerators & Startups

Apache Spark VS Microsoft Power Automate

Compare Apache Spark VS Microsoft Power Automate and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

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.

Microsoft Power Automate logo Microsoft Power Automate

Microsoft Power Automate is an automation platform that integrates DPA, RPA, and process mining. It lets you automate your organization at scale using low-code and AI.
  • Apache Spark Landing page
    Landing page //
    2021-12-31
  • Microsoft Power Automate Landing page
    Landing page //
    2024-03-20

Microsoft Power Automate is a comprehensive, integrated automation platform with advanced digital process automation (DPA), robotic process automation (RPA), and process mining capabilities. And with the power of low-code and AI, you are in the driver’s seat to securely automate your organization at scale.

Features

  • Streamline your business with (DPA) digital process automation through cloud flows to connect your apps, data, and services.
  • Automate repetitive tasks using UI-based automation with (RPA) robotic process automation through desktop flows.
  • Ensure consistency with business process flows—the (BPA) business process automation capability in Power Automate.
  • Discover workflow bottlenecks and automation opportunities with the process advisor.
  • Bring AI to automation and gain insights by creating tailored AI models within Power Automate using AI Builder.

Click here to learn more about Power Automate or visit the official blog to keep up with the news.

Apache Spark features and specs

  • Speed
    Apache Spark processes data in-memory, significantly increasing the processing speed of data tasks compared to traditional disk-based engines.
  • Ease of Use
    Spark offers high-level APIs in Java, Scala, Python, and R, making it accessible to a broad range of developers and data scientists.
  • Advanced Analytics
    Spark supports advanced analytics, including machine learning, graph processing, and real-time streaming, which can be executed in the same application.
  • Scalability
    Spark can handle both small- and large-scale data processing tasks, scaling seamlessly from a single machine to thousands of servers.
  • Support for Various Data Sources
    Spark can integrate with a wide variety of data sources, including HDFS, Apache HBase, Apache Hive, Cassandra, and many others.
  • Active Community
    Spark has a vibrant and active community, providing a wealth of extensions, tools, and support options.

Possible disadvantages of Apache Spark

  • Memory Consumption
    Spark's in-memory processing can be resource-intensive, requiring substantial amounts of RAM, which can drive up costs for large-scale deployments.
  • Complexity in Configuration
    To optimize performance, Spark requires careful configuration and tuning, which can be complex and time-consuming.
  • Learning Curve
    Despite its ease of use, mastering the full range of Spark's features and best practices can take considerable time and effort.
  • Latency for Small Data
    For smaller datasets or low-latency requirements, Spark might not be the most efficient choice, as other technologies could offer better performance.
  • Integration Overhead
    Though Spark integrates with many systems, incorporating it into an existing data infrastructure can introduce additional overhead and complexity.
  • Community Support Variability
    While the community is active, the support and quality of third-party libraries and tools can be inconsistent, leading to potential challenges in implementation.

Microsoft Power Automate features and specs

  • Attended RPA
  • Unattended RPA
  • Process mining
  • Task mining
  • Document automation
  • Data loss prevention (DLP)
  • Digital workforce management
  • API automation

Apache Spark videos

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

Microsoft Power Automate videos

Winautomation Review - DO NOT BUY

More videos:

  • Tutorial - Microsoft Flow Tutorial for Beginners
  • Review - WinAutomation Overview
  • Review - What is Microsoft Flow and Why Would I Use it?
  • Review - Optimize your business with Microsoft Power Automate

Category Popularity

0-100% (relative to Apache Spark and Microsoft Power Automate)
Databases
100 100%
0% 0
Automation
0 0%
100% 100
Big Data
100 100%
0% 0
Web Service Automation
0 0%
100% 100

User comments

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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 Microsoft Power Automate

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...
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...
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...

Microsoft Power Automate Reviews

TOP RPA tools you should never miss | Octoparse RPA
As part of the Power Platform, Power Automate provides accessibility and ease of use for automating common workflows. Its triggers and actions enable jobs to be automated across hundreds of apps and systems. Power Automate is designed for simple, event-driven automation and job completion. Now Microsoft offers two plans for this service. The power automate premium will cost...
N8n.io Alternatives
One of the standout features of Microsoft Power Automate is its ability to create complex workflows without requiring extensive coding knowledge. Users can leverage pre-built templates or design custom flows using a visual designer. Moreover, Power Automate integrates with ApiX-Drive, a service that simplifies setting up integrations and automating data transfers between...
Source: apix-drive.com
Microsoft Power Automate
This gives businesses an advantage over each other, heightening their customer satisfaction and product/service value. With hundreds of tools present for this purpose, choosing the right tool is essential. This write-up will give you a detailed comparison between Microsoft Power Automate and our workflow automation platform Cflow. Additionally, we will also look at the top 7...
Top 5 Microsoft Power Automate alternatives for 2024
If you’re trying to go paperless and streamline repetitive tasks, you’ve probably heard about Microsoft Power Automate — or maybe you already use it. It’s a low-code platform that enables you to build automated processes across multiple applications. But you might not know there are several Power Automate alternatives that you may find more suitable for your business.
Source: www.jotform.com
6 Best Power Automate Alternatives & Competitors in 2024
Microsoft Power Automate is a popular workflow automation tool that allows users to create automated workflows without the need for manual coding. While it offers many benefits, there may be instances where organizations or individuals are looking for alternatives to Power Automate. Some reasons why alternatives may be needed include:

Social recommendations and mentions

Based on our record, Apache Spark should be more popular than Microsoft Power Automate. It has been mentiond 70 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 (70)

  • Every Database Will Support Iceberg — Here's Why
    Apache Iceberg defines a table format that separates how data is stored from how data is queried. Any engine that implements the Iceberg integration — Spark, Flink, Trino, DuckDB, Snowflake, RisingWave — can read and/or write Iceberg data directly. - Source: dev.to / 27 days ago
  • How to Reduce Big Data Analytics Costs by 90% with Karpenter and Spark
    Apache Spark powers large-scale data analytics and machine learning, but as workloads grow exponentially, traditional static resource allocation leads to 30–50% resource waste due to idle Executors and suboptimal instance selection. - Source: dev.to / 28 days ago
  • Unveiling the Apache License 2.0: A Deep Dive into Open Source Freedom
    One of the key attributes of Apache License 2.0 is its flexible nature. Permitting use in both proprietary and open source environments, it has become the go-to choice for innovative projects ranging from the Apache HTTP Server to large-scale initiatives like Apache Spark and Hadoop. This flexibility is not solely legal; it is also philosophical. The license is designed to encourage transparency and maintain a... - Source: dev.to / 2 months ago
  • The Application of Java Programming In Data Analysis and Artificial Intelligence
    [1] S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach. Pearson, 2020. [2] F. Chollet, Deep Learning with Python. Manning Publications, 2018. [3] C. C. Aggarwal, Data Mining: The Textbook. Springer, 2015. [4] J. Dean and S. Ghemawat, "MapReduce: Simplified Data Processing on Large Clusters," Communications of the ACM, vol. 51, no. 1, pp. 107-113, 2008. [5] Apache Software Foundation, "Apache... - Source: dev.to / 2 months ago
  • Automating Enhanced Due Diligence in Regulated Applications
    If you're designing an event-based pipeline, you can use a data streaming tool like Kafka to process data as it's collected by the pipeline. For a setup that already has data stored, you can use tools like Apache Spark to batch process and clean it before moving ahead with the pipeline. - Source: dev.to / 3 months ago
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Microsoft Power Automate mentions (31)

  • Is there any open source no code workflow tool?
    Hi, I am trying to build a no code tool workflow tool with blocks and connections between the blocks. Similar to power automate: https://powerautomate.microsoft.com/en-us/. Source: almost 2 years ago
  • Spreadsheet: export link in CSV
    Windows has an option called Power Automate https://powerautomate.microsoft.com/en-us/ that allows for, well automating such tasks as manually copying / pasting data https://learn.microsoft.com/en-us/power-automate/getting-started. Source: almost 2 years ago
  • My coworkers and I have decided to start filling out the forms
    Try to use automation to fill it out ( https://powerautomate.microsoft.com/en-us/ for example). Source: almost 2 years ago
  • Automating my monkey job
    Https://powerautomate.microsoft.com/en-us/ might be something worth checking out if you have access. Source: about 2 years ago
  • Should I quit learning Python?
    What is it that you actually want to achieve? Learning Python should have an overarching goal. Like being a programmer. If you would rather not be a programmer, and you don't like programming, but you would like to automate certain things on your PC, you might as well download and install https://powerautomate.microsoft.com/en-us/ . If you intend to understand, or work with, Big Data or AI, then Python totally is... Source: about 2 years ago
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What are some alternatives?

When comparing Apache Spark and Microsoft Power Automate, 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.

ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.

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

Make.com - Tool for workflow automation (Former Integromat)

Apache Storm - Apache Storm is a free and open source distributed realtime computation system.

Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.