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Apache Storm VS Utilities Meter Data Management

Compare Apache Storm VS Utilities Meter Data Management and see what are their differences

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Contents:
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  3. » Reviews
  4. » Alternatives

Apache Storm logo Apache Storm

Apache Storm is a free and open source distributed realtime computation system.

Utilities Meter Data Management logo Utilities Meter Data Management

Oracle's Applications for Meter Data Management helps utilities to support the loading, validation, editing, and estimation (VEE) of meter data.
  • Apache Storm Landing page
    Landing page //
    2019-03-11
  • Utilities Meter Data Management Landing page
    Landing page //
    2023-05-12

Apache Storm features and specs

  • Real-Time Processing
    Apache Storm is designed for processing data in real-time, which makes it ideal for applications like fraud detection, recommendation systems, and monitoring tools.
  • Scalability
    Storm is capable of scaling horizontally, allowing it to handle increasing amounts of data by adding more nodes, making it suitable for large-scale applications.
  • Fault Tolerance
    Storm provides robust fault-tolerance mechanisms by rerouting tasks from failed nodes to operational ones, ensuring continuous processing.
  • Broad Language Support
    Apache Storm supports multiple programming languages, including Java, Python, and Ruby, allowing developers to use the language they are most comfortable with.
  • Open Source Community
    Being an Apache project, Storm benefits from a strong open-source community, which contributes to its development and offers abundant resources and support.

Possible disadvantages of Apache Storm

  • Complex Setup
    Setting up and configuring Apache Storm can be complex and time-consuming, requiring detailed knowledge of its architecture and the underlying infrastructure.
  • High Learning Curve
    The architecture and components of Storm can be difficult for new users to grasp, leading to a steeper learning curve compared to some other streaming platforms.
  • Maintenance Overhead
    Managing and maintaining a Storm cluster can require significant effort, including monitoring, troubleshooting, and scaling the infrastructure.
  • Error Handling
    While Storm is fault-tolerant, its error handling at the application level can sometimes be challenging, requiring careful design to manage failures effectively.
  • Resource Intensive
    Storm can be resource-intensive, particularly in terms of memory and CPU usage, which can lead to increased costs and necessitate powerful hardware.

Utilities Meter Data Management features and specs

  • Scalability
    Oracle Utilities Meter Data Management is designed to handle large volumes of data, making it scalable for utilities of various sizes.
  • Integration Capabilities
    It offers strong integration capabilities with other utility applications and systems, facilitating seamless data exchange.
  • Advanced Analytics
    Provides powerful analytics tools to enable utilities to gain insights from meter data, helping in decision-making and operational efficiency.
  • Automation
    Automates many data management processes, reducing the need for manual intervention and minimizing errors.
  • Regulatory Compliance
    Supports compliance with regulatory requirements by ensuring accurate and reliable data management and reporting.

Possible disadvantages of Utilities Meter Data Management

  • Complexity
    The system can be complex to implement and configure, often requiring specialized knowledge and resources.
  • Cost
    Investment in Oracle Utilities Meter Data Management can be costly in terms of both software and the necessary infrastructure.
  • Customization Limitations
    Some users may find the customization options limited when compared to niche or highly specialized solutions.
  • Training Requirements
    Employees may need extensive training to effectively use and manage the software, which can be time-consuming.
  • Dependency on Vendor
    Reliance on Oracle for updates and support may lead to delays or constraints in addressing specific organizational needs promptly.

Apache Storm videos

+ Add

Apache Storm Tutorial For Beginners | Apache Storm Training | Apache Storm Example | Edureka

More videos:

  • Review - Developing Java Streaming Applications with Apache Storm
  • Review - Atom Text Editor Option - Real-Time Analytics with Apache Storm

Utilities Meter Data Management videos

No Utilities Meter Data Management videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Apache Storm and Utilities Meter Data Management)

Apache Storm

Utilities Meter Data Management

Big Data
100 100%
Big Data
0% 0
Project Management
0 0%
Project Management
100% 100
Stream Processing
50 50%
Stream Processing
50% 50
Energy And Utilities Vertical Software
0 0%
Energy And Utilities Vertical Software
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 Apache Storm and Utilities Meter Data Management

Apache Storm Reviews

Top 15 Kafka Alternatives Popular In 2021
Apache Storm is a recognized, distributed, open-source real-time computational system. It is free, simple to use, and helps in easily and accurately processing multiple data streams in real-time. Because of its simplicity, it can be utilized with any programming language and that is one reason it is a developer’s preferred choice. It is fast, scalable, and integrates well...
Source: www.spec-india.com
5 Best-Performing Tools that Build Real-Time Data Pipeline
Apache Storm is an open-source distributed real-time computational system for processing data streams. Similar to what Hadoop does for batch processing, Apache Storm does for unbounded streams of data in a reliable manner. Built by Twitter, Apache Storm specifically aims at the transformation of data streams. Storm has many use cases like real-time analytics, online machine...
Source: www.analyticsinsight.net

Utilities Meter Data Management Reviews

We have no reviews of Utilities Meter Data Management yet.
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Social recommendations and mentions

Based on our record, Apache Storm seems to be more popular. It has been mentiond 11 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.

Apache Storm mentions (11)

  • Data Engineering and DataOps: A Beginner's Guide to Building Data Solutions and Solving Real-World Challenges
    There are several frameworks available for batch processing, such as Hadoop, Apache Storm, and DataTorrent RTS. - Source: dev.to / over 2 years ago
  • Real Time Data Infra Stack
    Although this article lists a lot of targets for technical selection, there are definitely others that I haven't listed, which may be either outdated, less-used options such as Apache Storm or out of my radar from the beginning, like JAVA ecosystem. - Source: dev.to / over 2 years ago
  • In One Minute : Hadoop
    Storm, a system for real-time and stream processing. - Source: dev.to / over 2 years ago
  • Elon Musk reportedly wants to fire 75% of Twitter’s employees
    Google has scaled well and has helped others scale, Twitter has always been behind by years. I think the only thing they did well was Twitter Storm, now taken up by Apache Foundation. Source: over 2 years ago
  • Spark for beginners - and you
    Streaming: Sparks Streamings's latency is at least 500ms, since it operates on micro-batches of records, instead of processing one record at a time. Native streaming tools like Storm, Apex or Flink might be better for low-latency applications. - Source: dev.to / over 3 years ago
View more

Utilities Meter Data Management mentions (0)

We have not tracked any mentions of Utilities Meter Data Management yet. Tracking of Utilities Meter Data Management recommendations started around Mar 2021.

What are some alternatives?

When comparing Apache Storm and Utilities Meter Data Management, you can also consider the following products

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

The PI System - With the PI System, OSIsoft customers have reduced costs, opened new revenue streams, extended equipment life, increased production capacity, and more.

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Oracle DataRaker - Oracle DataRaker unlocks smart meter data and transforms it into compelling, quantifiable, and actionable results with low upfront investment and risk.

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

ATLAS Energy Monitoring System - AtlasEVO Energy Management & Energy Monitoring Systems. Collect and analyse energy usage data (electric, gas, water etc) from any number of metering points.

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