Software Alternatives, Accelerators & Startups

Shiny VS InfluxData

Compare Shiny VS InfluxData and see what are their differences

Shiny logo Shiny

Shiny is an R package that makes it easy to build interactive web apps straight from R.

InfluxData logo InfluxData

Scalable datastore for metrics, events, and real-time analytics.
  • Shiny Landing page
    Landing page //
    2023-06-30
  • InfluxData Landing page
    Landing page //
    2023-07-30

Shiny videos

SHINY - PS4 REVIEW

More videos:

  • Review - My Opinion on EVERY Shiny Pokémon [Generation 1 to 7]
  • Review - Review: Shiny (PlayStation 4) - Defunct Games
  • Tutorial - R Shiny Overview & Tutorial

InfluxData videos

Barbara Nelson [InfluxData] | Best Practices for Data Ingestion into InfluxDB

Category Popularity

0-100% (relative to Shiny and InfluxData)
Web Frameworks
100 100%
0% 0
Databases
0 0%
100% 100
Developer Tools
100 100%
0% 0
Time Series Database
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 Shiny and InfluxData

Shiny Reviews

We have no reviews of Shiny yet.
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InfluxData Reviews

ReductStore vs. MinIO & InfluxDB on LTE Network: Who Really Wins the Speed Race?
Maintaining consistency between multiple databases, like MinIO and InfluxDB, adds a layer of complexity. In our setup, MinIO, used for blob storage, is linked to data points in InfluxDB via its filename. Any inconsistencies or mismatches between the two could potentially result in data loss. Furthermore, we need to query both databases, which is quite inefficient. Lastly,...
Apache Druid vs. Time-Series Databases
We occasionally get questions regarding how Apache Druid differs from time-series databases (TSDB) such as InfluxDB or Prometheus, and when to use each technology. This short post serves to help answer these questions.
Source: imply.io
4 Best Time Series Databases To Watch in 2019
InfluxDB is part of the TICK stack : Telegraf, InfluxDB, Chronograf and Kapacitor. InfluxData provides, out of the box, a visualization tool (that can be compared to Grafana), a data processing engine that binds directly with InfluxDB, and a set of more than 50+ agents that can collect real-time metrics for a lot of different data sources.
Source: medium.com

Social recommendations and mentions

Based on our record, Shiny seems to be a lot more popular than InfluxData. While we know about 32 links to Shiny, we've tracked only 2 mentions of InfluxData. 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.

Shiny mentions (32)

  • R: Introduction to Data Science
    A lighterweight alternative to renv is to use Posit Public Package Manage (https://packagemanager.posit.co/) with a pinned date. That doesn't help if you're installing packages from a mix of places, but if you're only using CRAN packages it lets you get everything as of a fixed date. And of course on the web side you have shiny (https://shiny.posit.co), which now also comes in a python flavour. - Source: Hacker News / 3 months ago
  • Reflex – Web apps in pure Python
    Sometimes the war is lost even before the battle begins. During grad school, I wrote a whole bunch of web apps entirely in R using Shiny. It was clunky as hell, but yeah, it worked. I went looking for what's up with Shiny these days and found this - https://shiny.posit.co/ So yeah, full on pivot into python. Pip install shiny. Alright! "No web development skills required. Develop web apps entirely in R I mean... - Source: Hacker News / 10 months ago
  • PSA: You don't need fancy stuff to do good work.
    Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: about 1 year ago
  • A project to show off my basic R skills
    We work along side bio-statisticians and data analysts, from my experience in this world I recommend to build some plots/graphs in R based on some information you find appealing. After you have some work to show off to potential employers , learn Shiny and publish those graphs online as your portfolio. Source: about 1 year ago
  • Greatest projects that you have done?
    One of the most difficult yet most fun projects I’ve done. Using Shiny to make an app, all coded in R! Source: over 1 year ago
View more

InfluxData mentions (2)

  • Can i log data into excel/csv using aws?
    I would highly recommend using a proper Time Series Database like QuestDB or InfluxDB to do this instead. You can always export data from wither of those two into Excel if your boss wants it in excel, but it's much easier to do data transformations, create graphs and reports, etc. If you have all the data in a proper database. Source: over 2 years ago
  • How to stream IoT data into Excel
    I would suggest using something better suited to IoT data than ... a spreadsheet. I'd recommend looking at one of the Time Series Databases for this. 1) QuestDB or 2) InfluxDB as these are much better suited to streaming data. Source: over 2 years ago

What are some alternatives?

When comparing Shiny and InfluxData, you can also consider the following products

Node.js - Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications

TimescaleDB - TimescaleDB is a time-series SQL database providing fast analytics, scalability, with automated data management on a proven storage engine.

Django - The Web framework for perfectionists with deadlines

Prometheus - An open-source systems monitoring and alerting toolkit.

Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.