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Aware360 VS Apache Spark

Compare Aware360 VS Apache Spark and see what are their differences

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Aware360 logo Aware360

real time data. real time decisions.

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.
  • Aware360 Landing page
    Landing page //
    2023-08-25

Aware360 understands people are the most important part of any workplace and provides the tools to keep employees safe throughout their day. Driven by our passion for people, the Aware360 suite of safety solutions leverages personal technology such as smartphones, wearables and satellite devices to keep people safe and productive.

  • Apache Spark Landing page
    Landing page //
    2021-12-31

Aware360 videos

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SafetyLink Band and the Aware360 App

Apache Spark videos

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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 Aware360 and Apache Spark)

Aware360

Apache Spark

Workplace Safety
100 100%
Workplace Safety
0% 0
Databases
0 0%
Databases
100% 100
Health And Fitness
100 100%
Health And Fitness
0% 0
Big Data
0 0%
Big Data
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 Aware360 and Apache Spark

Aware360 Reviews

We have no reviews of Aware360 yet.
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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 56 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.

Aware360 mentions (0)

We have not tracked any mentions of Aware360 yet. Tracking of Aware360 recommendations started around Mar 2021.

Apache Spark mentions (56)

  • 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 / 2 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 / 4 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 / 5 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 / 5 months ago
  • Spark – A micro framework for creating web applications in Kotlin and Java
    A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 11 months ago
View more

What are some alternatives?

When comparing Aware360 and Apache Spark, you can also consider the following products

Eagle.io - Cloud-based environmental IoT platform

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

Perillon - Perillon is an EHS software that helps companies to achieve compliance with the relevant government rules and regulations.

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

EtQ EHS Software - EtQ EHS Software is the leading Electronic Health and Safety Compliance Management Software that is used across the globe by industrial organizations to manage safety compliance and environmental regulations.

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

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