Software Alternatives, Accelerators & Startups

MRTG VS Google Cloud Dataproc

Compare MRTG VS Google Cloud Dataproc and see what are their differences

MRTG logo MRTG

MRTG (or Multi Router Traffic Grapher) is an open-source network monitoring tool.

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • MRTG Landing page
    Landing page //
    2020-07-26
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

MRTG videos

MRTG Results vs Netflow Results

More videos:

  • Review - Episode 15: MRTG
  • Review - Mrtg Loans; Dont get ripped off

Google Cloud Dataproc videos

Dataproc

Category Popularity

0-100% (relative to MRTG and Google Cloud Dataproc)
Monitoring Tools
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Log Management
100 100%
0% 0
Big 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 MRTG and Google Cloud Dataproc

MRTG Reviews

The Best Cacti Monitoring Alternatives
The MRTG is easy to configure and set up, with most automatic processes. In addition, the tool can create visual representations of your traffic in the last week, five weeks, or last year.

Google Cloud Dataproc Reviews

We have no reviews of Google Cloud Dataproc yet.
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Social recommendations and mentions

Based on our record, Google Cloud Dataproc should be more popular than MRTG. It has been mentiond 3 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.

MRTG mentions (2)

  • SNMP Tool
    Take a look at https://oss.oetiker.ch/mrtg/. Graphics aren‘t fancy but the whole tool is light and pretty stable. Source: almost 2 years ago
  • Is there a tool I can use to remotely monitor all network traffic to a specific device on my network?
    Look into setting up MRTG and SNMP of the network device. Source: over 2 years ago

Google Cloud Dataproc mentions (3)

  • Connecting IPython notebook to spark master running in different machines
    I have also a spark cluster created with google cloud dataproc. Source: about 1 year ago
  • Why we don’t use Spark
    Specifically, we heavily rely on managed services from our cloud provider, Google Cloud Platform (GCP), for hosting our data in managed databases like BigTable and Spanner. For data transformations, we initially heavily relied on DataProc - a managed service from Google to manage a Spark cluster. - Source: dev.to / about 2 years ago
  • Data processing issue
    With that, the best way to maximize processing and minimize time is to use Dataflow or Dataproc depending on your needs. These systems are highly parallel and clustered, which allows for much larger processing pipelines that execute quickly. Source: over 2 years ago

What are some alternatives?

When comparing MRTG and Google Cloud Dataproc, you can also consider the following products

RRDTool - High performance data logging and graphing system for time series data

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

Paessler PRTG - An advanced network monitoring solution to monitor network up/downtime, traffic and usage.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Zabbix - Track, record, alert and visualize performance and availability of IT resources

HortonWorks Data Platform - The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly...