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Apache Spark VS ManageEngine Mobile Device Manager Plus

Compare Apache Spark VS ManageEngine Mobile Device Manager Plus and see what are their differences

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.

ManageEngine Mobile Device Manager Plus logo ManageEngine Mobile Device Manager Plus

ManageEngine Mobile Device Manager Plus is an enterprise mobile device management solution that is designed to enhance employee productivity without compromising on corporate security.
  • Apache Spark Landing page
    Landing page //
    2021-12-31
  • ManageEngine Mobile Device Manager Plus Landing page
    Landing page //
    2022-12-25

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

ManageEngine Mobile Device Manager Plus videos

No ManageEngine Mobile Device Manager Plus videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Apache Spark and ManageEngine Mobile Device Manager Plus)
Databases
100 100%
0% 0
Monitoring Tools
0 0%
100% 100
Big Data
100 100%
0% 0
Office & Productivity
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 ManageEngine Mobile Device Manager Plus

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...

ManageEngine Mobile Device Manager Plus Reviews

12 Best Asset Management Software For IT Teams In 2023
ManageEngine Mobile Device Manager Plus is a practical asset management system created specifically to organize and manage all mobile devices within your organization. The Mobile Device Management (MDM) software is designed to manage smartphones, laptops, tablets, desktops, and more with software management included.
Source: thectoclub.com
10 Best MDM Software: Mobile Device Management Solutions in 2023
ManageEngine Mobile Device Manager Plus is a robust MDM solution that enables businesses to harness the power of mobility. It offers a range of key features, such as application management, mobile device management, device containerization, and email management.
8 Best Miradore Alternatives (In-Depth Comparison)
ManageEngine Mobile Device Manager Plus is a mobile device management solution that helps to track and manage mobile assets. It also helps to secure them with restrictions and passcode policies.
Source: www.zluri.com

Social recommendations and mentions

Based on our record, Apache Spark seems to be more popular. It has been mentiond 58 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 (58)

  • How I've implemented the Medallion architecture using Apache Spark and Apache Hdoop
    In this project, I'm exploring the Medallion Architecture which is a data design pattern that organizes data into different layers based on structure and/or quality. I'm creating a fictional scenario where a large enterprise that has several branches across the country. Each branch receives purchase orders from an app and deliver the goods to their customers. The enterprise wants to identify the branch that... - Source: dev.to / 17 days ago
  • Shades of Open Source - Understanding The Many Meanings of "Open"
    In contrast, Databricks maintains internal forks of Spark, Delta Lake, and Unity Catalog, using the same names for both the open-source versions and the features specific to the Databricks platform. While they do provide separate documentation, online discussions often reflect confusion about how to use features in the open-source versions that only exist on the Databricks platform. This creates a "muddying of the... - Source: dev.to / 19 days ago
  • 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 / 4 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 / 5 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 / 7 months ago
View more

ManageEngine Mobile Device Manager Plus mentions (0)

We have not tracked any mentions of ManageEngine Mobile Device Manager Plus yet. Tracking of ManageEngine Mobile Device Manager Plus recommendations started around Mar 2021.

What are some alternatives?

When comparing Apache Spark and ManageEngine Mobile Device Manager Plus, 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.

Hexnode MDM - Mobile Device Management solution from Hexnode helps you monitor, manage and secure mobile devices across your organization.

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

Jamf Pro - Jamf Pro is comprehensive enterprise management software for the Apple platform, simplifying IT management for Mac, iPad, iPhone and Apple TV.

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

Scalefusion - Scalefusion is a Powerful Android, iOS, macOS & Windows 10 Device Management Solution for corporate-owned & employee-owned (BYOD) mobile, tablets, desktop & rugged devices.