Software Alternatives, Accelerators & Startups

nSpek VS Apache Flink

Compare nSpek VS Apache Flink and see what are their differences

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 Flink logo Apache Flink

Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
  • 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 Flink Landing page
    Landing page //
    2023-10-03

nSpek

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

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 Flink 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 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

Category Popularity

0-100% (relative to nSpek and Apache Flink)
Form Builder
100 100%
0% 0
Big Data
0 0%
100% 100
Forms And Surveys
100 100%
0% 0
Stream Processing
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Apache Flink seems to be a lot more popular than nSpek. While we know about 30 links to Apache Flink, 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 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 / 3 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 / 23 days 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 1 month 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 / 2 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 / 4 months ago
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What are some alternatives?

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

FastField - Mobile forms solution

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

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

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

GoCanvas - GoCanvas is a service that helps you replace paper forms and processes with efficient mobile business apps and forms to save money and time on data collection.

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