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NativeScript VS Apache Spark

Compare NativeScript VS Apache Spark and see what are their differences

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NativeScript logo NativeScript

Build truly native apps with JavaScript

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.
  • NativeScript Landing page
    Landing page //
    2023-10-21
  • Apache Spark Landing page
    Landing page //
    2021-12-31

NativeScript features and specs

  • Cross-Platform Development
    NativeScript allows developers to write code once and deploy it across multiple platforms, including iOS and Android, which saves time and resources.
  • Native Performance
    Since NativeScript directly uses native components, it delivers high performance comparable to native applications, unlike some other cross-platform solutions.
  • Rich Ecosystem
    NativeScript offers a rich ecosystem of plugins and modules, making it easy to extend functionalities and integrate with various services.
  • Single Codebase
    Maintaining a single codebase for both iOS and Android reduces development and debugging efforts.
  • Open Source
    Being open source, NativeScript has strong community support and continuous improvements driven by developers around the world.
  • Access to Native APIs
    NativeScript allows direct access to native APIs, giving developers more flexibility and control over platform-specific features.

Possible disadvantages of NativeScript

  • Steep Learning Curve
    The framework requires an understanding of native development concepts, which can be complex for new developers or those not familiar with mobile development.
  • Lack of Third-Party Components
    Compared to more mature frameworks, NativeScript has a limited number of third-party libraries and UI components available.
  • Performance Overhead
    Despite high performance, there is still some overhead compared to fully native applications due to the abstraction layer.
  • Limited Community Support
    Although the community is growing, it is still smaller compared to mainstream frameworks like React Native or Flutter, which might result in slower issue resolution and fewer resources.
  • Maintenance and Updates
    Keeping the framework and its plugins up to date with the latest iOS and Android releases can be challenging and resource-intensive.

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.

NativeScript videos

+ Add

NativeScript VS React Native 2019 | performance | community | plugins

More videos:

  • Review - Which one is best for you? Flutter, React Native, Ionic or NativeScript?
  • Review - 7 Things to Know When Learning NativeScript

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 NativeScript and Apache Spark)

NativeScript

Apache Spark

Development Tools
100 100%
Development Tools
0% 0
Databases
0 0%
Databases
100% 100
JavaScript Framework
100 100%
JavaScript Framework
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using NativeScript 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 NativeScript and Apache Spark

NativeScript Reviews

Top 10 Flutter Alternatives for Cross-Platform App Development
With the framework, developers get the option to craft a completely native experience even without interfering with the user interface. Those who are familiar with JavaScript can leverage NativeScript to its fullest.
Source: www.moontechnolabs.com
Top 5 Flutter Alternatives for Cross-Platform Development
NativeScript is a powerful framework that empowers developers to build Web, iOS, Android, and Vision Pro apps on a single codebase. If you’re comfortable with web development, especially Angular or VueJS, you’ll find NativeScript accessible.
Source: www.miquido.com
10 Best Open Source Firebase Alternatives
The native apps you develop use the richness of the mobile platform and offer the performance you need for mobile devices. NativeScript uses native APIs and controls to render, allowing you to create more sophisticated apps compared to using a hybrid approach.
Source: rigorousthemes.com
10 Best Tools to Develop Cross-Platform Desktop Apps 
NativeScript doesn’t require Angular or Vue.js but works better when used together for cross-platform app development. This runtime framework implements JavaScript, its superset TypeScript and Angular Native, and can render a variety of apps, be they gaming, streaming, geolocation, or chat apps. The user interface is in XML and CSS. A single, reusable codebase can be applied...
Source: www.westagilelabs.com
Top JavaScript Frameworks For Mobile App Development
NativeScript is an open-source, cross-platform, free mobile framework that assists in the creation of a truly native Android and iOS mobile apps. These apps can be built with JavaScript, Angular, Vue.js or TypeScript. Programming using NativeScript reduces the development time and lines of code, to a large extent. Many organizations globally have been implementing it because...
Source: medium.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 NativeScript. 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.

NativeScript mentions (20)

  • What are JavaScript Engines?
    NativeScript is a good example of a runtime built specifically for cross-platform native mobile application development built using JavaScript. - Source: dev.to / 5 months ago
  • Gio UI – Cross-Platform GUI for Go
    A long time ago, nativescript[1] seemed to be a strong alternative to reactnative. Is that still the case? [1] https://nativescript.org/. - Source: Hacker News / about 1 year ago
  • Ask HN: Flutter or React Native?
    I'm curious about this topic as well. I would also add NativeScript[1] in the comparison. [1] https://nativescript.org/. - Source: Hacker News / about 1 year ago
  • Svelte Native: The Svelte Mobile Development Experience
    This is not so much the Svelte equivalent of React Native as it is just NativeScript (https://nativescript.org). - Source: Hacker News / over 1 year ago
  • Mobile App Development for both iOS and Andriod
    There is also https://nativescript.org/ which would allow you to use Vue (or several other frameworks) to build a mobile app. Used it myself a while back for an iPad app using Vue 2 and it was pretty straightforward. It seems like there have been quite a few improvements since then so might be worth a look. Source: about 2 years ago
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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 / about 1 month 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
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What are some alternatives?

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

React Native - A framework for building native apps with React

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

Apache Cordova - Platform for building native mobile applications using HTML, CSS and JavaScript

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

Ionic - Ionic is a cross-platform mobile development stack for building performant apps on all platforms with open web technologies.

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

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