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Apache Spark VS KeyCDN

Compare Apache Spark VS KeyCDN and see what are their differences

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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.

KeyCDN logo KeyCDN

KeyCDN is a high-performance Content Delivery Network (CDN). Lowest price globally at $0.04/GB with HTTP/2 Support and free Origin Shield.
  • Apache Spark Landing page
    Landing page //
    2021-12-31
  • KeyCDN Landing page
    Landing page //
    2021-10-11

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.

KeyCDN features and specs

  • Performance
    KeyCDN has a broad network with strategically placed POPs (Points of Presence) that ensures fast content delivery and low latency.
  • Cost-effective
    Offers competitive pricing compared to other CDN providers, making it attractive for small to medium-sized businesses.
  • Ease of Use
    User-friendly interface and straightforward setup make it easy for users to deploy and manage their CDN services.
  • Security Features
    Provides built-in security features such as DDoS protection, secure token links, and SSL support to safeguard content.
  • Real-time Analytics
    Offers comprehensive real-time analytics and reporting tools that provide valuable insights into content delivery performance and usage statistics.
  • Support for Various Integrations
    Supports integrations with popular CMS platforms, frameworks, and e-commerce solutions like WordPress, Magento, and WooCommerce.

Possible disadvantages of KeyCDN

  • Limited Advanced Features
    While it offers essential CDN functionalities, KeyCDN may lack some advanced features available in other top-tier CDNs such as extensive edge computing capabilities.
  • Smaller Network
    Compared to larger CDN providers like Cloudflare or Akamai, KeyCDN has a smaller network of POPs, which may affect global performance in fewer regions.
  • Customer Support
    Some users have reported slower response times and less comprehensive support compared to other premium CDNs.
  • Caching Customization
    Offers fewer customization options for caching policies and rules compared to some competing CDNs.
  • No WAF
    Does not offer a built-in Web Application Firewall (WAF), which means users will need a separate solution for advanced web application protection.

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

KeyCDN videos

+ Add

Full Site Cache for KeyCDN - A WordPress plugin

More videos:

  • Tutorial - How to Speed Up WordPress Website With CDN Service (KeyCDN)

Category Popularity

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

Apache Spark

KeyCDN

Databases
100 100%
Databases
0% 0
Cloud Computing
0 0%
Cloud Computing
100% 100
Big Data
100 100%
Big Data
0% 0
CDN
0 0%
CDN
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 Spark and KeyCDN

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

KeyCDN Reviews

The 7 Best Content-Delivery-Network Providers
KeyCDN is not a CDN provider from Germany, but it's close: The provider is based in Switzerland. The focus is on speed, a broad infrastructure, security and 24/7 support. KeyCDN's content delivery network is accessible on six continents and should be set up in a few minutes to swiftly send your content to your users all over the world - except Antarctica. KeyCDN is capable...
Source: omr.com
10 Top Cloudflare Alternatives for Your Website
Customization is the key to having a personalized experience. In this regard, KeyCDN is a touch better than Cloudflare. Therefore, you can configure the essential components, add it to any CMS or custom application to get the preferred result. If not optimized perfectly, images can drastically slow down content delivery. Keeping this crucial aspect in mind, KeyCDN offers a...
Source: beebom.com
5 Best Free CDN Solutions for WordPress to Speed Up Your Site
KeyCDN – KeyCDN is an easy-to-implement CDN that starts at just $0.04 per GB. They’re the same people beyond plugins like Cache Enabler and the Optimus image optimizer plugin, so KeyCDN works great with both those plugins.
Source: wplift.com
11 Best CDN Providers To Speed Up A Website
Other KeyCDN features include the intuitive dashboard; HTTP/2 for faster delivery; GZip compression for faster data accessibility; real time reportings; extensive security (with DDoS protection, shared or custom SSL, secure token etc); origin shield and much more.
Source: mofluid.com
The best CDN providers of 2018 to speed up any website
More experienced users will appreciate options like Origin Shield – this allows you to specify a KeyCDN server to be the source for updates rather than the origin, reducing your server load. You're able to manipulate headers, cache or strip cookies, or set up a custom robots.txt. Once the service is running, a capable set of reporting tools enable watching CDN performance in...
Source: www.techradar.com

Social recommendations and mentions

Based on our record, Apache Spark seems to be a lot more popular than KeyCDN. While we know about 70 links to Apache Spark, we've tracked only 2 mentions of KeyCDN. 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 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 / 29 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

KeyCDN mentions (2)

What are some alternatives?

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

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

CloudFlare - Cloudflare is a global network designed to make everything you connect to the Internet secure, private, fast, and reliable.

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

Amazon CloudFront - Amazon CloudFront is a content delivery web service.

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

CDN77 - Content Delivery Network - website speed acceleration with CDN77. 28+ PoPs, Pay-as-you-go prices, no commitments.

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