Software Alternatives & Reviews

Water.css VS InfluxData

Compare Water.css VS InfluxData and see what are their differences

Water.css logo Water.css

Make your tiny website just a little nicer

InfluxData logo InfluxData

Scalable datastore for metrics, events, and real-time analytics.
  • Water.css Landing page
    Landing page //
    2023-10-03
  • InfluxData Landing page
    Landing page //
    2023-07-30

Water.css videos

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InfluxData videos

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

Category Popularity

0-100% (relative to Water.css and InfluxData)
Developer Tools
100 100%
0% 0
Databases
0 0%
100% 100
Design 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 Water.css and InfluxData

Water.css Reviews

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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

InfluxData might be a bit more popular than Water.css. We know about 2 links to it since March 2021 and only 2 links to Water.css. 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.

Water.css mentions (2)

  • Looks great on my machine
    Slap this on it and you're good: https://github.com/kognise/water.css/. Source: about 1 year ago
  • Show HN: Skruv – No-dependency, no-build, small JavaScript framework
    I used the base stylesheet from https://github.com/kognise/water.css, but I'll prune down the list. Thanks for the feedback! - Source: Hacker News / about 3 years ago

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 Water.css and InfluxData, you can also consider the following products

Tailwind CSS - A utility-first CSS framework for rapidly building custom user interfaces.

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

Unused CSS - Easily find and remove unused CSS rules

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

Epic Spinners - Easy to use css loading animations with vue.js integration

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