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VictorOps VS Google Cloud Dataproc

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

NinjaOne
NinjaOne (Formerly NinjaRMM) provides remote monitoring and management software that combines powerful functionality with a fast, modern UI. Easily remediate IT issues, automate common tasks, and support end-users with powerful IT management tools. featured
Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

VictorOps logo VictorOps

We make on-call suck less & help teams to solve problems faster.

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • VictorOps Landing page
    Landing page //
    2022-07-18
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

VictorOps videos

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VictorOps

More videos:

  • Review - VictorOps Suggested Responders and Machine Learning

Google Cloud Dataproc videos

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Dataproc

Category Popularity

0-100% (relative to VictorOps and Google Cloud Dataproc)

VictorOps

Google Cloud Dataproc

Monitoring Tools
100 100%
Monitoring Tools
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Incident Management
100 100%
Incident Management
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using VictorOps and Google Cloud Dataproc. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare VictorOps and Google Cloud Dataproc

VictorOps Reviews

Why VictorOps is the DevOps Alternative to PagerDuty
PagerDuty and VictorOps both support chat integrations (e.g., Slack and HipChat), yet only VictorOps offers bi-directional chat as well as native, in-app chat. Moreover, VictorOps uniquely integrates with GitHub and Jenkins to bring critical SDLC insights into the firefight.
Source: victorops.com

Google Cloud Dataproc Reviews

We have no reviews of Google Cloud Dataproc yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Google Cloud Dataproc seems to be more popular. 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.

VictorOps mentions (0)

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

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 VictorOps and Google Cloud Dataproc, you can also consider the following products

PagerDuty - Cloud based monitoring service

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

OpsGenie - Alerting and On-Call Management for Dev&Ops Teams

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

Squadcast - Automate incident response, reduce downtime and enhance your tech teams’ delivery with a unified platform.

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

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