Software Alternatives & Reviews

Graffiti.js VS InfluxData

Compare Graffiti.js VS InfluxData and see what are their differences

Graffiti.js logo Graffiti.js

File-based GraphQL framework for Node.js inspired by Next.js

InfluxData logo InfluxData

Scalable datastore for metrics, events, and real-time analytics.
  • Graffiti.js Landing page
    Landing page //
    2023-09-16
  • InfluxData Landing page
    Landing page //
    2023-07-30

Graffiti.js videos

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InfluxData videos

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

Category Popularity

0-100% (relative to Graffiti.js and InfluxData)
Developer Tools
100 100%
0% 0
Databases
8 8%
92% 92
Time Series Database
0 0%
100% 100
Graph Databases
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Graffiti.js and InfluxData

Graffiti.js 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

Based on our record, InfluxData seems to be more popular. It has been mentiond 2 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.

Graffiti.js mentions (0)

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

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 Graffiti.js and InfluxData, you can also consider the following products

Memgraph - Memgraph is an open source graph database built for real-time streaming and compatible with Neo4j. Whether you're a developer or a data scientist with interconnected data, Memgraph will get you the immediate actionable insights fast.

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

TerminusDB - TerminusDB is an open source model driven graph database for knowledge graph representation designed specifically for the web-age.

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

Webiny - The Enterprise CMS platform that you can host on your cloud

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