Software Alternatives, Accelerators & Startups

Apache Flink VS Scalefusion

Compare Apache Flink VS Scalefusion and see what are their differences

Apache Flink logo Apache Flink

Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Scalefusion logo Scalefusion

Scalefusion is a Powerful Android, iOS, macOS & Windows 10 Device Management Solution for corporate-owned & employee-owned (BYOD) mobile, tablets, desktop & rugged devices.
  • Apache Flink Landing page
    Landing page //
    2023-10-03
  • Scalefusion Landing page
    Landing page //
    2023-08-21

Scalefusion is a Mobile Device & Endpoint Management software helping businesses globally to secure and manage their device fleet. Scalefusion simplifies the management of a diverse fleet of Android, iOS, macOS and Windows 10 devices. The platform extends support to various deployment scenarios such as dedicated-device, COPE (Corporate-owned, Personally Enabled), and BYOD (Bring Your Own Device).

The vendor states over 6000 businesses globally rely on Scalefusion to manage their company-owned and employee-owned (BYOD) devices. Organizations big and small from various sectors like Logistics, Healthcare, Retail, Education, Financial Services, and many more use Scalefusion.

Solution Offerings by Business Initiative: Mobile Device Management Enterprise Mobility Management Rugged Device Management Bring Your Own Device (BYOD) Unified Endpoint Management

Supported Operating Systems: Android Management iOS Management Windows 10 Management macOS Management

Apache Flink videos

GOTO 2019 • Introduction to Stateful Stream Processing with Apache Flink • Robert Metzger

More videos:

  • Tutorial - Apache Flink Tutorial | Flink vs Spark | Real Time Analytics Using Flink | Apache Flink Training
  • Tutorial - How to build a modern stream processor: The science behind Apache Flink - Stefan Richter

Scalefusion videos

Scalefusion - Product Overview

More videos:

  • Review - Setting Up Kiosk Mode On An Android Tablet Device With The Scalefusion Application
  • Review - Scalefusion - Product Overview - Español

Category Popularity

0-100% (relative to Apache Flink and Scalefusion)
Big Data
100 100%
0% 0
Monitoring Tools
0 0%
100% 100
Stream Processing
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 Flink and Scalefusion

Apache Flink Reviews

We have no reviews of Apache Flink yet.
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Scalefusion Reviews

  1. Efficiency with Scalefusion MDM's Remote Device Management

    One of the standout features of Scalefusion MDM is its versatility as a SaaS solution. Unlike standard device management software, it offers a comprehensive array of control and security measures for managed devices. This level of granularity empowers our IT administrators to effectively manage devices remotely, a crucial capability given the geographic dispersion of our teams across different time zones. With Scalefusion, we can seamlessly execute remote control and management tasks

Social recommendations and mentions

Based on our record, Apache Flink should be more popular than Scalefusion. It has been mentiond 30 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 Flink mentions (30)

  • Show HN: Restate, low-latency durable workflows for JavaScript/Java, in Rust
    Restate is built as a sharded replicated state machine similar to how TiKV (https://tikv.org/), Kudu (https://kudu.apache.org/kudu.pdf) or CockroachDB (https://github.com/cockroachdb/cockroach) since it makes it possible to tune the system more easily for different deployment scenarios (on-prem, cloud, cost-effective blob storage). Moreover, it allows for some other cool things like seamlessly moving from one log... - Source: Hacker News / 22 days ago
  • Array Expansion in Flink SQL
    I’ve recently started my journey with Apache Flink. As I learn certain concepts, I’d like to share them. One such "learning" is the expansion of array type columns in Flink SQL. Having used ksqlDB in a previous life, I was looking for functionality similar to the EXPLODE function to "flatten" a collection type column into a row per element of the collection. Because Flink SQL is ANSI compliant, it’s no surprise... - Source: dev.to / about 1 month ago
  • Show HN: An SQS Alternative on Postgres
    You should let the Apache Flink team know, they mention exactly-once processing on their home page (under "correctness guarantees") and in their list of features. [0] https://flink.apache.org/ [1] https://flink.apache.org/what-is-flink/flink-applications/#building-blocks-for-streaming-applications. - Source: Hacker News / about 2 months ago
  • Top 10 Common Data Engineers and Scientists Pain Points in 2024
    Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / 3 months ago
  • 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
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Scalefusion mentions (7)

  • Simple MDM solution?
    According to Techradar, Scalefusion is one of the five Best MDM Solutions of the year. This ranking is due to the fact that Techradar found scalefusion to be a very efficient tool to enable enterprises to achieve secure enterprise mobility environment. It is possible to remotely lock the managed mobile device. Only if you have set a passcode for the mobile device will the user be prompted to enter the passcode... Source: almost 2 years ago
  • Use Scalefusion to disable power off menu on your phone
    Alarmy's disable power off feature doesn't work on my phone anymore so now I use this website called scalefusion to disable the power off menu on my smartphone. So that I don't turn off my phone when the alarm rings. Source: almost 2 years ago
  • How I manage my Technology Addiction.
    Scalefusion - Its an MDM (mobile device management) app I use to disable the power off function of my android so that I won't be able to turn off my phone when Alarmy rings. Source: almost 2 years ago
  • How I manage my Technology addiction.
    Scalefusion - An MDM app I use to disable the power off function of my android. So that I don't turn off my phone when Alarmy rings. It also restricts installation of apps without manually enabling the app from scalefusion website. Source: almost 2 years ago
  • How can I automate the deployement of android phones ?
    Based on you coming into this blind and with no relevant XP, I'd suggest something like Scalefusion: https://scalefusion.com/. Source: almost 2 years ago
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What are some alternatives?

When comparing Apache Flink and Scalefusion, you can also consider the following products

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

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

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

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.

Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.

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