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DalmatinerDB VS InfluxData

Compare DalmatinerDB VS InfluxData and see what are their differences

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DalmatinerDB logo DalmatinerDB

A fast, distributed metric store

InfluxData logo InfluxData

Scalable datastore for metrics, events, and real-time analytics.
  • DalmatinerDB Landing page
    Landing page //
    2021-09-20
  • InfluxData Landing page
    Landing page //
    2023-07-30

DalmatinerDB videos

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InfluxData videos

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

Category Popularity

0-100% (relative to DalmatinerDB and InfluxData)

DalmatinerDB

InfluxData

Time Series Database
11 11%
Time Series Database
89% 89
Databases
9 9%
Databases
91% 91
Vector Databases
100 100%
Vector Databases
0% 0
Time Series Data
14 14%
Time Series Data
86% 86

User comments

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Reviews

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

DalmatinerDB Reviews

We have no reviews of DalmatinerDB 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,...
Source: www.reduct.store
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.

DalmatinerDB mentions (0)

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

Axibase Time Series Database - ATSD is purpose-built for analyzing and reporting on massive volumes of time-series data collected...

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

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

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

Spotify Heroic - Heroic time series database.

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

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