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Monitask VS Apache Spark

Compare Monitask VS Apache Spark and see what are their differences

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  4. » Alternatives

Monitask logo Monitask

Employee Monitoring Software with Screenshots, Internet, Activity and Time Tracking
Visit Website

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.
  • Monitask Landing page
    Landing page //
    2019-03-03
  • Apache Spark Landing page
    Landing page //
    2021-12-31

Monitask features and specs

  • Timesheets: Yes
  • Time Tracking: Accurately Track Time Across Tasks and Projects
  • Time Tracking Reports: Detailed time reports about projects and tasks
  • Screen recording: yes

Apache Spark features and specs

No features have been listed yet.

Monitask videos

+ Add

Monitask - Screenshot monitoring demo

Apache Spark videos

+ Add

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

Category Popularity

0-100% (relative to Monitask and Apache Spark)

Monitask

Apache Spark

Productivity
100 100%
Productivity
0% 0
Databases
0 0%
Databases
100% 100
Time Tracking
100 100%
Time Tracking
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using Monitask and Apache Spark. 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 Monitask and Apache Spark

Monitask Reviews

21 Time Tracking Tools To Manage Your Workday
Monitask is an employee monitoring software with powerful time tracking features. With Monitask, employees and freelancers can manually start a clock when they begin working on an assignment for employers. Throughout their work, the application takes computer screenshots that can be reviewed online by the employer. These screenshots can be taken randomly, or can be assigned...
Source: hive.com
20 Employee Monitoring Software [2022 Updated List]
What’s more, Monitask comes with comprehensive reporting options. Managers can track project progress and identify activities that are eating up too much time. This way, they can streamline workflows and improve inefficient processes.
Source: traqq.com
49 Best Timesheet Alternatives - Features, pros & cons, pricing | Remote Tools
Pricing Reviews & Testimonials When to use actiTIME Relevance to remote workers actiTIME helps to keep remote teams organized and monitor project progress. See Alternatives to actiTIME See actiTIME's Competitors Timesheet Alternative #48 Monitask Boost productivity, accountability and efficiency across your team About & Top features Monitask delivers employee monitoring...
Source: www.remote.tools
10 Best Free Employee Timesheet Apps in 2020
Monitask is a powerful automatic timesheet software for your team. No need to fill out and manage timesheets manually — employee timesheets sync to the web-based live dashboard in real-time. Plus, they’re 100% automated.
Source: www.softwaretestinghelp.com
10 Best Time Tracking Software and Time Management Tools
Monitask was designed for companies of all sizes that have remote team members working on Windows and Mac computers, such as freelancers, contractors, remote employees, and employees that work from home occasionally. Monitask is also useful for freelancers that would like to show proof of work being done to their clients. Overall, it’s a lightweight tool that offers simple,...
Source: thedigitalprojectmanager.com

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...
Source: searchbusinessanalytics.techtarget.com
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...
Source: www.spec-india.com
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...
Source: www.analyticsinsight.net

Social recommendations and mentions

Based on our record, Apache Spark seems to be more popular. It has been mentiond 57 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.

Monitask mentions (0)

We have not tracked any mentions of Monitask yet. Tracking of Monitask recommendations started around Mar 2021.

Apache Spark mentions (57)

  • 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 / about 17 hours 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 / 3 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 / 6 months ago
  • Five Apache projects you probably didn't know about
    Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 6 months ago
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What are some alternatives?

When comparing Monitask and Apache Spark, you can also consider the following products

Time Doctor - Time Tracking and Time Management Software that is accurate and helps you to get a lot more done each day.

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

Toggl - Toggl is an online time tracking tool. It features 1-click time tracking and helps you see where your time goes. Free and paid versions are available.

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

Hubstaff - Simple yet powerful employee work tracker with screenshots, timesheets, billing, in-depth reports, and more. Understand productivity issues and act on them.

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

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