Software Alternatives & Reviews

Google Cloud Dataproc VS Cloud Armor

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

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost

Cloud Armor logo Cloud Armor

Google Cloud Armor is a network security service that provides defenses against DDoS and application attacks.
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09
  • Cloud Armor Landing page
    Landing page //
    2023-07-11

Google Cloud Dataproc videos

Dataproc

Cloud Armor videos

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Category Popularity

0-100% (relative to Google Cloud Dataproc and Cloud Armor)
Data Dashboard
100 100%
0% 0
Web Application Security
0 0%
100% 100
Big Data
100 100%
0% 0
CDN
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Cloud Armor should be more popular than Google Cloud Dataproc. It has been mentiond 5 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.

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 / almost 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

Cloud Armor mentions (5)

  • CVE-2023-44487: HTTP/2 Rapid Reset DDoS
    For our customers, we recommend patching software and enabling the Application Load Balancer and Google Cloud Armor, which has been protecting Google and existing Google Cloud Application Load Balancing users. Source: 7 months ago
  • Migrating from Azure to GCP. Need to set up networking
    Cloud Armor is nice too, if you're using the external LBs. Source: about 1 year ago
  • How do I restrict calls to my API Gateway to only being accepted from 1 domain for security concerns?
    Set up a Load Balancer and Cloud Armor in front of your function, or. Source: over 1 year ago
  • How to protect a game server hosted on Google Cloud from DDoS?
    Unsure about the nature of the DDOS attack, but did you look at Cloud Armour, are you looking for something a little cheaper and custom? Source: almost 3 years ago
  • How to protect a game server hosted on Google Cloud from DDoS?
    Would using something like Google Cloud Armor help with the DDoS? https://cloud.google.com/armor/. Source: almost 3 years ago

What are some alternatives?

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

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

Imperva Cloud Application Security - Deploy your applications and data where you want. When you want. Imperva keeps them secure in the cloud, on premises, and in hybrid clouds.

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

Google Cloud Load Balancing - Google Cloud Load Balancer enables users to scale their applications on Google Compute Engine.

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

CloudFlare DDoS Protection - Mitigate a DDoS attack of any size using Cloudflare's advanced DDoS protection including DNS Amplification, SYN/ACK, Layer 7 Attacks. Don't get ddos attacked!