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Amazon EMR VS LogicMonitor

Compare Amazon EMR VS LogicMonitor and see what are their differences

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Amazon EMR logo Amazon EMR

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

LogicMonitor logo LogicMonitor

LogicMonitor is the SaaS performance monitoring platform for the world's best IT teams. Deploy Fast, Monitor More, Improve Ops.
  • Amazon EMR Landing page
    Landing page //
    2023-04-02
  • LogicMonitor Landing page
    Landing page //
    2023-10-18

Amazon EMR features and specs

  • Scalability
    Amazon EMR makes it easy to provision one, hundreds, or thousands of compute instances in minutes. You can easily scale your cluster up or down based on your needs.
  • Cost-effectiveness
    You only pay for what you use with EMR. There are no upfront fees. You can also leverage EC2 Spot Instances for a more cost-effective solution.
  • Ease of Use
    Amazon EMR has a user-friendly interface and integrates with a wide range of AWS services, making it easy to set up and manage big data frameworks like Apache Hadoop, Spark, etc.
  • Managed Service
    Amazon EMR takes care of the setup, configuration, and tuning of the big data environments, allowing you to focus on your data processing rather than managing infrastructure.
  • Security
    EMR integrates with AWS security features such as IAM for fine-grained access control, encryption options, and Virtual Private Cloud (VPC) for network security.
  • Flexibility
    Supports multiple big data frameworks including Hadoop, Spark, HBase, Presto, and more, facilitating a wide range of use cases.

Possible disadvantages of Amazon EMR

  • Complex Pricing Model
    EMR's pricing can be complex with costs varying based on instance types, storage, and data transfer. Predicting costs may be challenging.
  • Data Transfer Costs
    If your applications require transferring large amounts of data in and out of EMR, the associated costs can be significant.
  • Learning Curve
    Although EMR is easier to manage compared to on-premises solutions, there is still a learning curve associated with mastering the service and optimizing its various settings.
  • Vendor Lock-in
    Since EMR is an AWS service, you may find it difficult to migrate to another service or cloud provider without significant re-engineering.
  • Dependency on AWS Ecosystem
    The full potential of EMR is best realized when integrated with other AWS services. This can be limiting if your architecture uses services from multiple cloud providers.

LogicMonitor features and specs

  • Comprehensive Monitoring
    LogicMonitor provides end-to-end IT infrastructure monitoring, including servers, networks, applications, and cloud services, ensuring holistic visibility.
  • Scalability
    Designed to handle both small and large enterprises, LogicMonitor can scale effortlessly with the growth of an organization’s IT infrastructure.
  • Ease of Deployment
    The platform is known for its quick setup process, allowing businesses to deploy and gain insights rapidly without significant downtime.
  • Customizable Dashboards
    Offers highly customizable dashboards that allow users to visualize data and metrics in a manner that suits their specific needs.
  • Automated Discovery
    Automatically discovers devices and applications within the network, significantly reducing the manual effort required for setup.
  • Third-party Integrations
    Supports numerous third-party integrations, enhancing its capabilities and making it easier to fit into an existing tech ecosystem.
  • Real-time Alerting
    Features real-time alerting mechanisms that help IT teams respond swiftly to potential issues, minimizing downtime and disruption.
  • Cloud and Hybrid Environment Support
    Offers robust support for cloud-based and hybrid environments, making it suitable for modern infrastructures that leverage diverse technologies.

Possible disadvantages of LogicMonitor

  • Cost
    Potentially high costs can be prohibitive for smaller organizations, particularly when additional features or large-scale deployments are involved.
  • Complexity
    Although powerful, the platform can be complex and may require a steep learning curve for users not familiar with advanced monitoring tools.
  • Resource Intensive
    The software can be resource-intensive, potentially necessitating additional hardware or computing resources to operate efficiently.
  • Customization Limitations
    Despite offering customization, certain areas may feel limited, especially for organizations with highly specific monitoring needs.
  • Dependency on Internet Connectivity
    Being a SaaS solution, LogicMonitor requires a reliable internet connection; any disruptions in connectivity can impact monitoring capabilities.
  • Alert Spam
    Without proper configuration, users might experience alert fatigue due to an overwhelming number of notifications.
  • Support Limitations
    While support is generally strong, some users report delays or less than satisfactory resolutions during peak times or with complex issues.

Analysis of Amazon EMR

Overall verdict

  • Yes, Amazon EMR is generally considered a good option for organizations that need to handle large-scale data processing and analysis. Its integration with the AWS ecosystem, flexibility in resource management, and support for a wide array of big data frameworks make it a strong contender in the cloud-based big data processing market.

Why this product is good

  • Amazon EMR (Elastic MapReduce) is a robust cloud service provided by AWS for processing and analyzing large datasets quickly and cost-effectively. It simplifies running big data frameworks like Apache Hadoop and Apache Spark on AWS, offering scalability, flexibility, and integration with other AWS services. EMR is favored for its ability to dynamically allocate resources, thus optimizing both performance and cost for big data processing needs.

Recommended for

    Amazon EMR is recommended for data engineers, data scientists, and IT professionals who need to manage and process large datasets in a scalable, efficient, and cost-effective manner. It is especially suitable for businesses that are already using AWS services and want to leverage a tightly integrated ecosystem. Additionally, it is a good choice for organizations that require rapid and flexible data analysis capabilities provided by frameworks such as Hadoop, Spark, HBase, and Presto.

Analysis of LogicMonitor

Overall verdict

  • Yes, LogicMonitor is generally considered a good monitoring solution.

Why this product is good

  • LogicMonitor is praised for its comprehensive monitoring capabilities, ease of use, and scalability. It supports a wide range of technologies and offers robust reporting and alerting features. Users appreciate its cloud-based nature, which allows for quick deployment and minimal maintenance.

Recommended for

  • IT teams looking for a scalable, cloud-based monitoring solution.
  • Organizations seeking a tool with strong reporting and alerting capabilities.
  • Businesses that need to monitor a wide array of technologies and devices.

Amazon EMR videos

+ Add

Amazon EMR Masterclass

More videos:

  • Review - Deep Dive into What’s New in Amazon EMR - AWS Online Tech Talks
  • Tutorial - How to use Apache Hive and DynamoDB using Amazon EMR

LogicMonitor videos

+ Add

An Introduction to LogicMonitor

More videos:

  • Review - Step Inside LogicMonitor [OUTDATED 2/4/20]
  • Review - Ted Baker Customer Fireside Chat | LogicMonitor Level Up Event June 2019

Category Popularity

0-100% (relative to Amazon EMR and LogicMonitor)

Amazon EMR

LogicMonitor

Data Dashboard
100 100%
Data Dashboard
0% 0
Monitoring Tools
0 0%
Monitoring Tools
100% 100
Big Data
100 100%
Big Data
0% 0
Log Management
0 0%
Log Management
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 Amazon EMR and LogicMonitor

Amazon EMR Reviews

We have no reviews of Amazon EMR yet.
Be the first one to post

LogicMonitor Reviews

Top 10 PRTG Alternatives for Monitoring Networks and IT Infrastructure
If you’re not looking to be overwhelmed with network alerts, consider using LogicMonitor to automatically identify and take action for the most important alerts with 90% less noise.
Source: www.networkstraining.com
7 Best Containerization Software Solutions of 2022
LogicMonitor’s dynamic topology mapping feature provides an at-a-glance view of your entire infrastructure, including networks, servers, containers, and more.
Source: techgumb.com
8 Dynatrace Alternatives to Consider in 2021
LogicMonitor is a massive proponent of hybrid IT. It is extensible and secure infrastructure monitoring on a single platform. With over 2,000 integrations available, it is a powerful package with many features that support configuration monitoring and AIOps early warning systems.
Source: scoutapm.com
Best New Relic Alternatives for Application Performance Monitoring (Cloud & SaaS)
Their Auto-Discover feature scans your systems and pulls data and information into easy to read graphs and data points that help you manage and monitor pain points. LogicMonitor helps you be more proactive about monitoring mission critical systems and lets you look at historical data to plan for future growth and capacity planning.
Source: www.ittsystems.com
15 Best IT Monitoring Tools and Software
LogicMonitor offers monitoring templates and frequently expands to include new features that increase its functionality.
Source: blog.inedo.com

Social recommendations and mentions

Based on our record, Amazon EMR seems to be more popular. It has been mentiond 10 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.

Amazon EMR mentions (10)

  • 5 Best Practices For Data Integration To Boost ROI And Efficiency
    There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: over 2 years ago
  • What compute service i should use? Advice for a duck-tape kind of guy
    I'm going to guess you want something like EMR. Which can take large data sets segment it across multiple executors and coalesce the data back into a final dataset. Source: almost 3 years ago
  • Processing a large text file containing millions of records.
    This is exactly the kind of workload EMR was made for, you can even run it serverless nowadays. Athena might be a viable option as well. Source: about 3 years ago
  • How to use Spark and Pandas to prepare big data
    Apache Spark is one of the most actively developed open-source projects in big data. The following code examples require that you have Spark set up and can execute Python code using the PySpark library. The examples also require that you have your data in Amazon S3 (Simple Storage Service). All this is set up on AWS EMR (Elastic MapReduce). - Source: dev.to / over 3 years ago
  • Beginner building a Hadoop cluster
    Check out https://aws.amazon.com/emr/. Source: about 3 years ago
View more

LogicMonitor mentions (0)

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

What are some alternatives?

When comparing Amazon EMR and LogicMonitor, you can also consider the following products

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

Dynatrace - Cloud-based quality testing, performance monitoring and analytics for mobile apps and websites. Get started with Keynote today!

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.

Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

Splunk Enterprise - Splunk Enteprise is the fastest way to aggregate, analyze and get answers from your machine data with the help machine learning and real-time visibility.

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