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Ubidots VS Apache Spark

Compare Ubidots VS Apache Spark and see what are their differences

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Ubidots logo Ubidots

A cloud service to capture and make sense of sensor data

Apache Spark logo Apache Spark

Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
  • Ubidots Landing page
    Landing page //
    2023-09-25
  • Apache Spark Landing page
    Landing page //
    2021-12-31

Ubidots features and specs

  • User-Friendly Interface
    Ubidots provides an intuitive and easy-to-navigate interface which makes it simple for users to create and manage IoT applications without extensive training.
  • Quick Prototyping
    The platform allows for rapid development and deployment, enabling users to quickly prototype their IoT solutions.
  • Data Visualization
    Offers powerful data visualization tools, including customizable dashboards and widgets, to easily track and analyze real-time data.
  • API Integration
    Ubidots provides robust API support, facilitating seamless integration with other applications and services.
  • Device Compatibility
    Supports a wide range of IoT devices and communication protocols, ensuring flexibility and scalability.
  • Cloud Storage
    Offers reliable cloud storage for data, ensuring that users can securely store, retrieve, and analyze data at any time.
  • Community and Support
    Active community and extensive documentation provide users with ample resources and support for troubleshooting and improving their IoT projects.

Possible disadvantages of Ubidots

  • Cost
    While Ubidots offers a free tier, the paid plans can be relatively expensive for startups and small businesses.
  • Limited Free Tier
    The free tier has limitations on the number of devices and data points, which can hinder large-scale projects.
  • Learning Curve for Advanced Features
    While basic features are user-friendly, more advanced functionalities may take time and effort to master.
  • Internet Dependency
    Requires a stable internet connection for real-time data monitoring and updates, which can be a limitation in remote areas.
  • Scalability Issues
    Some users have reported challenges when scaling their applications, particularly in terms of performance and cost-efficiency.
  • Limited Offline Capabilities
    Ubidots is largely cloud-based and lacks comprehensive offline functionality, making it less viable for applications that require constant connectivity.

Apache Spark features and specs

  • Speed
    Apache Spark processes data in-memory, significantly increasing the processing speed of data tasks compared to traditional disk-based engines.
  • Ease of Use
    Spark offers high-level APIs in Java, Scala, Python, and R, making it accessible to a broad range of developers and data scientists.
  • Advanced Analytics
    Spark supports advanced analytics, including machine learning, graph processing, and real-time streaming, which can be executed in the same application.
  • Scalability
    Spark can handle both small- and large-scale data processing tasks, scaling seamlessly from a single machine to thousands of servers.
  • Support for Various Data Sources
    Spark can integrate with a wide variety of data sources, including HDFS, Apache HBase, Apache Hive, Cassandra, and many others.
  • Active Community
    Spark has a vibrant and active community, providing a wealth of extensions, tools, and support options.

Possible disadvantages of Apache Spark

  • Memory Consumption
    Spark's in-memory processing can be resource-intensive, requiring substantial amounts of RAM, which can drive up costs for large-scale deployments.
  • Complexity in Configuration
    To optimize performance, Spark requires careful configuration and tuning, which can be complex and time-consuming.
  • Learning Curve
    Despite its ease of use, mastering the full range of Spark's features and best practices can take considerable time and effort.
  • Latency for Small Data
    For smaller datasets or low-latency requirements, Spark might not be the most efficient choice, as other technologies could offer better performance.
  • Integration Overhead
    Though Spark integrates with many systems, incorporating it into an existing data infrastructure can introduce additional overhead and complexity.
  • Community Support Variability
    While the community is active, the support and quality of third-party libraries and tools can be inconsistent, leading to potential challenges in implementation.

Ubidots videos

+ Add

Ubidots - IoT Application Development Platform overview

More videos:

  • Review - IoT Based ECG Monitoring with AD8232 ECG Sensor & ESP8266 on Ubidots
  • Review - 🌡️ Subiendo datos de temperatura y humedad a Ubidots con módulo ethernet y arduino

Apache Spark videos

+ Add

Weekly Apache Spark live Code Review -- look at StringIndexer multi-col (Scala) & Python testing

More videos:

  • Review - What's New in Apache Spark 3.0.0
  • Review - Apache Spark for Data Engineering and Analysis - Overview

Category Popularity

0-100% (relative to Ubidots and Apache Spark)

Ubidots

Apache Spark

IoT Platform
100 100%
IoT Platform
0% 0
Databases
0 0%
Databases
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using Ubidots and Apache Spark. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Ubidots and Apache Spark

Ubidots Reviews

Best IoT Platforms in 2022 for Small Business
Ubidots provides a no-code, easy to use, self-construct IoT Platform to connect your IoT devices to collect, analyze and visualize the data. The main feature of Ubidots is that it is device agnostic i.e., any device can be connected to the cloud to share data. Ubidots believe that flexibility is the key to build and retain any business and hence caters customizable IoT and...
Source: www.fogwing.io
Open Source Internet of Things (IoT) Platforms
Ubidots is an IoT platform that provides services for free to users with a limit of five sensors and to add a sensor, you have to pay a certain amount of money to remove the sensor limit. Ubidots also provides email and SMS notification services based on triggers created by sensor data according to user requirements.Ubidots is popular among IoT enthusiasts because its tools...
Source: jansutris10.medium.com
14 of the Best IoT Platforms to Watch in 2021
UbiDots is a data simulation IoT platform with a focus on using powerful visualization and simulation to develop customer-specific applications. Its IoT ecosystem supports an extensive cloud of devices including Espressif, Microchip, Particle, Amplified Engineering, and other board makers. With an extensive range of tutorials, SDKs and libraries, on-boarding any device in...
Source: www.iottechtrends.com

Apache Spark Reviews

15 data science tools to consider using in 2021
Apache Spark is an open source data processing and analytics engine that can handle large amounts of data -- upward of several petabytes, according to proponents. Spark's ability to rapidly process data has fueled significant growth in the use of the platform since it was created in 2009, helping to make the Spark project one of the largest open source communities among big...
Source: searchbusinessanalytics.techtarget.com
Top 15 Kafka Alternatives Popular In 2021
Apache Spark is a well-known, general-purpose, open-source analytics engine for large-scale, core data processing. It is known for its high-performance quality for data processing – batch and streaming with the help of its DAG scheduler, query optimizer, and engine. Data streams are processed in real-time and hence it is quite fast and efficient. Its machine learning...
Source: www.spec-india.com
5 Best-Performing Tools that Build Real-Time Data Pipeline
Apache Spark is an open-source and flexible in-memory framework which serves as an alternative to map-reduce for handling batch, real-time analytics and data processing workloads. It provides native bindings for the Java, Scala, Python, and R programming languages, and supports SQL, streaming data, machine learning and graph processing. From its beginning in the AMPLab at...
Source: www.analyticsinsight.net

Social recommendations and mentions

Based on our record, Apache Spark should be more popular than Ubidots. It has been mentiond 70 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.

Ubidots mentions (7)

  • Need help in connecting my ESP8266 to Internet
    For hombrewing they use https://ubidots.com/ to read fermentation information. The device connects http outbound with a JSON payload. Source: over 2 years ago
  • Which startups are made using Django?
    I used to work in https://ubidots.com it’s also written in Django. Source: almost 3 years ago
  • Easiest Way to Add Cellular to an ESP32 IoT Project
    But we don't want your data to live on Notehub! The most important part of the story is securely routing your data to any cloud endpoint. Take a look at our extensive Routing Tutorials and pick your favorite cloud, such as Ubidots, and create an engaging cloud dashboard to interpret your data:. - Source: dev.to / about 3 years ago
  • Thermal Image Anomaly Detection with TinyML
    By using the "edge ML" capabilities provided by Edge Impulse, the cellular Notecard device-to-cloud data pump from Blues Wireless, a Raspberry Pi Zero 2 W, and an Ubidots dashboard, I was able to create a simple, low-power, thermal monitoring station with only a small bit of Python coding required 🐍. - Source: dev.to / over 3 years ago
  • Vacationing with a GPS Asset Tracker
    While this is great to see, the next step was to configure a more functional cloud-based dashboard to view the incoming data in real time. To do so I created a route in Notehub to securely sync data with Ubidots. - Source: dev.to / over 3 years ago
View more

Apache Spark mentions (70)

  • Every Database Will Support Iceberg — Here's Why
    Apache Iceberg defines a table format that separates how data is stored from how data is queried. Any engine that implements the Iceberg integration — Spark, Flink, Trino, DuckDB, Snowflake, RisingWave — can read and/or write Iceberg data directly. - Source: dev.to / 30 days ago
  • How to Reduce Big Data Analytics Costs by 90% with Karpenter and Spark
    Apache Spark powers large-scale data analytics and machine learning, but as workloads grow exponentially, traditional static resource allocation leads to 30–50% resource waste due to idle Executors and suboptimal instance selection. - Source: dev.to / about 1 month ago
  • Unveiling the Apache License 2.0: A Deep Dive into Open Source Freedom
    One of the key attributes of Apache License 2.0 is its flexible nature. Permitting use in both proprietary and open source environments, it has become the go-to choice for innovative projects ranging from the Apache HTTP Server to large-scale initiatives like Apache Spark and Hadoop. This flexibility is not solely legal; it is also philosophical. The license is designed to encourage transparency and maintain a... - Source: dev.to / 2 months ago
  • The Application of Java Programming In Data Analysis and Artificial Intelligence
    [1] S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach. Pearson, 2020. [2] F. Chollet, Deep Learning with Python. Manning Publications, 2018. [3] C. C. Aggarwal, Data Mining: The Textbook. Springer, 2015. [4] J. Dean and S. Ghemawat, "MapReduce: Simplified Data Processing on Large Clusters," Communications of the ACM, vol. 51, no. 1, pp. 107-113, 2008. [5] Apache Software Foundation, "Apache... - Source: dev.to / 2 months ago
  • Automating Enhanced Due Diligence in Regulated Applications
    If you're designing an event-based pipeline, you can use a data streaming tool like Kafka to process data as it's collected by the pipeline. For a setup that already has data stored, you can use tools like Apache Spark to batch process and clean it before moving ahead with the pipeline. - Source: dev.to / 3 months ago
View more

What are some alternatives?

When comparing Ubidots and Apache Spark, you can also consider the following products

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.

Blynk.io - We make internet of things simple

Hadoop - Open-source software for reliable, scalable, distributed computing

Axonize - Axonize IoT platform - the smarter way to truly realize your IoT potential and create smart, scalable IoT projects to increase profitability.

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

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