Software Alternatives, Accelerators & Startups

Apache Storm VS Blynk.io

Compare Apache Storm VS Blynk.io and see what are their differences

Apache Storm logo Apache Storm

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

Blynk.io logo Blynk.io

We make internet of things simple
  • Apache Storm Landing page
    Landing page //
    2019-03-11
  • Blynk.io Landing page
    Landing page //
    2023-08-19

Blynk is a low-code IoT software platform for connecting devices to the cloud, building mobile apps to remotely control and monitor them, and managing thousands of users and deployed products. It’s a PaaS (Platform-as-a-Service) that helps businesses and individuals seamlessly progress from a prototype of a connected product to its commercial launch and further growth.

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.

Blynk.io features and specs

  • User-Friendly Interface
    Blynk.io offers an intuitive and easy-to-use interface, which makes it accessible to both beginners and experienced developers. Its drag-and-drop functionality simplifies the process of IoT application development.
  • Cross-Platform Support
    Blynk.io supports various platforms such as iOS, Android, and major hardware like Arduino, Raspberry Pi, ESP8266, and others. This multi-platform support can accelerate the development and deployment of IoT projects.
  • Cloud Connectivity
    Blynk provides seamless cloud connectivity, allowing developers to control their IoT devices remotely and access data from anywhere. This enhances the functionality and usability of IoT solutions.
  • Extensive Widget Library
    Blynk.io offers a wide range of widgets that can be used to create user interfaces for IoT applications. This extensive library aids in customizing the user experience according to specific requirements.
  • Active Community and Support
    The platform has a large, active community and robust support resources, including forums, tutorials, and documentation. This facilitates troubleshooting and inspires innovation among developers.

Possible disadvantages of Blynk.io

  • Subscription-Based Pricing
    The advanced features and commercial use of Blynk.io require a subscription, which might be prohibitive for hobbyists or small startups with limited budgets.
  • Limited Free Tier
    The free tier comes with limitations on the number of devices and widgets, which may hinder the development of complex or larger-scale IoT projects without upgrading to a paid plan.
  • Data Privacy Concerns
    Since Blynk operates on a cloud-based model, some users may have concerns about data privacy and security, especially when dealing with sensitive or proprietary information.
  • Learning Curve for Advanced Features
    While the basic features are straightforward, there can be a steep learning curve to master advanced functionalities and integrations, requiring significant time and effort for less experienced users.
  • Dependency on Internet Connection
    Blynk's cloud-based nature means that an active and stable internet connection is essential for optimal functioning. This dependency can be a drawback in regions with poor connectivity.

Apache Storm videos

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

Blynk.io videos

Blynk IoT Platform Overview

More videos:

  • Tutorial - New Blynk IoT platform with esp32 | how to setup automation in Blynk IoT app | #iot #blynk #esp32🔥🔥

Category Popularity

0-100% (relative to Apache Storm and Blynk.io)
Big Data
100 100%
0% 0
IoT Platform
0 0%
100% 100
Stream Processing
100 100%
0% 0
Data Dashboard
15 15%
85% 85

User comments

Share your experience with using Apache Storm and Blynk.io. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Storm and Blynk.io

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...
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...

Blynk.io Reviews

Best IoT Platforms in 2022 for Small Business
Blynk is a multi-tenant solution with which you can add users and assign permissions to download the app, connect the devices and get access to your data. Blynk also offers a white-label solution enabling you to add your company logo, choose the theme, colors, app icon and publish the app to the App Store and Google Play under your company name. Blynk offers an interface to...
Source: www.fogwing.io
Open Source Internet of Things (IoT) Platforms
As a hardware-agnostic IoT platform, Blynk.io comes with device management, data analytics, and machine learning functionalities while allowing you to connect to any device. You also have a mobile app constructor that allows you to build IoT apps per drag-and-drop. You get a variety of ready-made widgets to create white-labeled native iOS and Android apps for any use case.
14 of the Best IoT Platforms to Watch in 2021
With a promise to help you build your first IoT app in five minutes, Blynk is another extensive IoT platform supporting 400+ hardware devices. These include Arduino and all its shields, Espressif devices (ESP32 and ESP8266), Particle, MicroPython, and many single-board computers. Using this platform is that simple because you only need to download the Blynk app for Android...

Social recommendations and mentions

Apache Storm might be a bit more popular than Blynk.io. We know about 11 links to it since March 2021 and only 10 links to Blynk.io. 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

Blynk.io mentions (10)

  • Real-Time IoT Visualization Essentials
    5. Blynk: Blynk is perfect for IoT developers building mobile-based projects. This powerful platform not only enables you to monitor your IoT devices seamlessly but also allows you to create interactive dashboards directly on your smartphone. With Blynk, you can visualize live data and control your devices from anywhere. We will explore how Blynk enhances real-time monitoring and transforms the way we interact... - Source: dev.to / 6 months ago
  • free-for.dev
    Blynk — A SaaS with API to control, build & evaluate IoT devices. Free Developer Plan with 5 devices,Free Cloud & data storage. Mobile Apps also available. - Source: dev.to / over 2 years ago
  • way to control led strips by phone
    Https://blynk.io/ (you can find an example that uses their legacy API in one of my releases). Source: over 2 years ago
  • Wemos Controlled Solar Powered Well Monitor
    Like it says, to try and keep up with the changing well levels in the summer at my house, I put together a project to monitor well water levels and update a Blynk app. Source: almost 3 years ago
  • Blynk for Arduino Nano
    Agreed about google and would add clarity. In the field of IT clarity is critical. If OP had said blynk.io, the .io would have clicked with me that it was a web site. Another guy just asked about PS/2 - I thought he meant the keyboard/mouse interface. Others twigged that he meant Playstation 2. Source: over 3 years ago
View more

What are some alternatives?

When comparing Apache Storm and Blynk.io, 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.

ThingSpeak - Open source data platform for the Internet of Things. ThingSpeak Features

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

AWS IoT - Easily and securely connect devices to the cloud.

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

Ubidots - A cloud service to capture and make sense of sensor data