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ManageEngine Patch Manager Plus VS Google Cloud Dataproc

Compare ManageEngine Patch Manager Plus VS Google Cloud Dataproc and see what are their differences

ManageEngine Patch Manager Plus

Patch Manager Plus, an all-round patching solution, offers automated patch deployment for Windows, macOS, and Linux endpoints, plus patching support for 350+ third-party applications You can use it to patch computers within LAN and WAN.

ManageEngine Patch Manager Plus Landing page
Rating
0 reviews
Pricing
Paid Free trial $245 / Annually (50 computers and single user license)
Is it good? Alternatives
Google Cloud Dataproc

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

Google Cloud Dataproc Landing page
Rating
0 reviews
Is it good? Alternatives
EcholoN
EcholoN is an Enterprise Application Framework and configurable software platform for ESM, ITSM, Service Desk, CMDB, Customer Service, Field Service Management and custom digital business processes. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, Google Cloud Dataproc seems to be more popular. It has been mentioned 3 times since March 2021.

social mentions
0 vs 3
Patch Management popularity
100% vs 0%
alternatives listed
100 vs 163

Base details

Website, pricing, platforms and company facts side by side.

ManageEngine Patch Manager Plus
Google Cloud Dataproc
Website manageengine.com cloud.google.com
Pricing
Paid Free trial $245 / Annually (50 computers and single user license) Official pricing
—
Platforms
Android iOS Cross Platform Windows Mac OSX Linux +3
—
Listed in
Patch Management IT Asset Management Cyber Security Network Security Third-party Patch Management +2
Data Dashboard Big Data Data Warehousing Big Data Tools +1

About ManageEngine Patch Manager Plus and Google Cloud Dataproc

In their own words, as submitted to SaaSHub.

ManageEngine Patch Manager Plus
Google Cloud Dataproc

Patch Manager Plus is an all round solution for your enterprise that enables you to manage and distribute patches to endpoints across the IT network. These endpoints consist of laptops, servers and workstations. Regularly updating applications across these systems, heightens the over all security...

Read more about ManageEngine Patch Manager Plus

No description of Google Cloud Dataproc yet.

Features and specs

What each product offers, as listed by its team.

ManageEngine Patch Manager Plus 6 features
Google Cloud Dataproc 5 features
  • Automate patch management
  • Cross-platform support
  • Third party applications patching
  • Flexible deployment policies
  • Test & approve patches
  • Windows 10 feature update deployment
  • Managed Service
    Google Cloud Dataproc is a fully managed service, which reduces the complexity of deploying, managing, and scaling big data clusters like Hadoop and Spark.
  • Integration with Google Cloud
    Seamlessly integrates with other Google Cloud services like Google Cloud Storage, BigQuery, and Google Cloud Pub/Sub, allowing for easy data handling and processing.
  • Scalability
    Can quickly scale resources up or down to meet the computing demands, making it flexible for different workload sizes and types.
  • Cost Efficiency
    Offers a pay-as-you-go pricing model, and can utilize preemptible VMs for reduced costs, making it a cost-effective option for running big data workloads.
  • Customizability
    Supports custom image management and initialization actions, allowing users to tailor clusters to meet specific needs.

Possible disadvantages

  • Complex Pricing
    Understanding and predicting costs can be challenging due to various pricing factors like cluster size, usage duration, and types of instances used.
  • Learning Curve
    Dataproc requires familiarity with Google Cloud and big data tools, which may present a steep learning curve for beginners.
  • Limited Customization Compared to Self-Managed
    While customizable, it may not offer as much flexibility and control as self-managed on-premises solutions, which can be limiting for highly specialized configurations.
  • Dependency on Google Cloud Ecosystem
    As a Google Cloud service, users are somewhat locked into the Google ecosystem, which may not be ideal for those using a multi-cloud strategy.
  • Potential Latency for Large Data Transfers
    Transferring large datasets between Dataproc and other services, especially across regions, might introduce latency issues.

Analysis

An editorial look at what each product does well and who it suits.

ManageEngine Patch Manager Plus
Google Cloud Dataproc

Overall verdict

  • ManageEngine Patch Manager Plus is a robust and effective solution for organizations seeking to improve their patch management processes. Its comprehensive feature set, combined with ease of use and reliable performance, makes it a strong choice for businesses of all sizes.

Why this product is good

  • ManageEngine Patch Manager Plus is well-regarded for its user-friendly interface, extensive patch management capabilities, and automation features. It supports a wide range of operating systems and third-party applications, making it a versatile solution for various IT environments. Users appreciate its ability to streamline the patching process, reduce vulnerabilities, and ensure compliance with security standards.

Recommended for

    This solution is recommended for IT administrators and organizations that require a reliable way to manage the patching of multiple systems and applications, especially those with diverse IT environments or limited resources to dedicate to manual patch management. It’s particularly suitable for medium to large enterprises looking to enhance their security posture and compliance efforts.

No analysis of Google Cloud Dataproc yet.

Videos

Walkthroughs and reviews on video.

ManageEngine Patch Manager Plus 1 video + Add
Google Cloud Dataproc 1 video + Add

Patch management free training

Dataproc

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
ManageEngine Patch Manager Plus
Google Cloud Dataproc
100% 100%
Patch Management
0% 0%
0% 0%
Data Dashboard
100% 100%
100% 100%
Monitoring Tools
0% 0%
0% 0%
Big Data
100% 100%

User comments

Share your experience with using ManageEngine Patch Manager Plus and Google Cloud Dataproc. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

ManageEngine Patch Manager Plus 0 mentions
Google Cloud Dataproc 3 mentions

Tracking ManageEngine Patch Manager Plus since Mar 2021.

  • Connecting IPython notebook to spark master running in different machines
    I have also a spark cluster created with google cloud dataproc. Source: over 3 years 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... - Source: dev.to / over 4 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... Source: over 4 years ago

Alternatives to ManageEngine Patch Manager Plus and Google Cloud Dataproc

When comparing ManageEngine Patch Manager Plus and Google Cloud Dataproc, you can also consider the following products.

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