Software Alternatives & Reviews

Beringei VS InfluxData

Compare Beringei VS InfluxData and see what are their differences

Beringei logo Beringei

High performance, in-memory storage engine for time series data (by Facebook)

InfluxData logo InfluxData

Scalable datastore for metrics, events, and real-time analytics.
  • Beringei Landing page
    Landing page //
    2023-08-03
  • InfluxData Landing page
    Landing page //
    2023-07-30

Beringei videos

Infinity Studio Gorilla Beringei statue review

InfluxData videos

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

Category Popularity

0-100% (relative to Beringei and InfluxData)
NoSQL Databases
100 100%
0% 0
Databases
11 11%
89% 89
Time Series Database
12 12%
88% 88
Time Series Data
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 Beringei and InfluxData

Beringei Reviews

We have no reviews of Beringei 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, 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.

Beringei mentions (0)

We have not tracked any mentions of Beringei yet. Tracking of Beringei 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: about 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 Beringei and InfluxData, you can also consider the following products

OpenTSDB - OpenTSDB is a distributed, scalable Time Series Database (TSDB) written on top of HBase.

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

Tile38 - Geospatial database and real-time geofence server for managing fleets, mobile apps, and IoT devices.

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

BuntDB - A fast, embeddable, in-memory key/value database for Go with custom indexing and geospatial support

MapR Converged Data Platform - An enterprise-grade distributed data platform that you can trust to reliably store and process big and fast data.