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nSpek VS Apache Spark

Compare nSpek VS Apache Spark and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

nSpek logo nSpek

nSpek, build forms and mobile checklists without coding or developers. Canadian Digital Inspections and Form Builder Provider for Heavy Industries such as Mining and Construction.

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.
  • nSpek Landing page
    Landing page //
    2023-08-27

nSpek.com - The Standard Canadian Heavy Industries Form Builder.

Looking for a Digital Inspections and Form Builder Provider for Heavy Industries such as Mining and Construction in Canada? Great! This is the alternative you have been waiting for, check this site

Data collection apps are now more important for mining industries in Canada, than ever. Substantial grants are now given to mines that operate in a transparent and modern way with their mobile data gathering and sharing. The Canadian GDP depends on the mineral and metal exploitation sector. By partnering with nSpek, all heavy industries that build and create their forms on premise are now capable of using an open source API that stores the information in a SQL based server. It becomes easy to analyze with Power BI or other business intelligence data collection partners like datacollectionforms.com.

What is an inspection app?

An inspection app inspection app is a data collection software on a mobile device which allows to fill digital forms information. An inspection app helps field workers get data as well as plan their inspection tasks.

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

nSpek

Website
nspek.com
$ Details
paid
Platforms
Browser Android iOS Web Windows Mac OSX Linux
Release Date
2002 October
Edit details

Apache Spark

Website
spark.apache.org
$ Details
Platforms
-
Release Date
-
Edit details

nSpek features and specs

  • Data Collection: Yes
  • Field Data Collection: Yes
  • Form Building: Yes
  • Form Creation: Yes
  • Task Management: Yes
  • Digital Inspections: Yes
  • ERP automation: Yes
  • On Premise: Yes
  • Cloud: Yes
  • Site inspection: Yes
  • IOT: Yes

Apache Spark features and specs

No features have been listed yet.

nSpek videos

No nSpek videos yet. You could help us improve this page by suggesting one.

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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 nSpek and Apache Spark)

nSpek

Apache Spark

Form Builder
100 100%
Form Builder
0% 0
Databases
0 0%
Databases
100% 100
Forms And Surveys
100 100%
Forms And Surveys
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 nSpek and Apache Spark

nSpek Reviews

We have no reviews of nSpek 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 a lot more popular than nSpek. While we know about 56 links to Apache Spark, we've tracked only 1 mention of nSpek. 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.

nSpek mentions (1)

  • Do you guys use a lot of paper forms, paper checklists and paper based inspections or is the industry all digitized now?
    I dont know bluebeam, you mean :https://www.bluebeam.com/ ? I only know https://nspek.com/en/. Source: almost 2 years ago

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 / 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 / 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 nSpek and Apache Spark, you can also consider the following products

FastField - Mobile forms solution

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

ProntoForms - ProntoForms is a mobile business solutions application, converting paper forms onto any tablet or mobile device.

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

Google Forms - Simple web forms from Google.

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

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