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  5. Adobe Dreamweaver vs Apache Spark

Adobe Dreamweaver vs Apache Spark

OverviewDecisionsComparisonAlternatives

Overview

Apache Spark
Apache Spark
Stacks3.1K
Followers3.5K
Votes140
GitHub Stars42.2K
Forks28.9K
Adobe Dreamweaver
Adobe Dreamweaver
Stacks158
Followers249
Votes17

Adobe Dreamweaver vs Apache Spark: What are the differences?

<Write Introduction here>

1. **User Base**: Adobe Dreamweaver is primarily used by web developers and designers to create and manage websites using a visual interface, code editor, and other design features. On the other hand, Apache Spark is a distributed computing system designed for big data processing, machine learning, and real-time streaming analytics, targeting data engineers and data scientists.
2. **Functionality**: Dreamweaver is focused on website development, offering tools for building responsive websites, managing code, and designing web layouts. Apache Spark, on the other hand, provides a comprehensive platform for big data processing, including support for complex data processing tasks like batch processing, stream processing, graph processing, and machine learning algorithms.
3. **Programming Languages**: Dreamweaver supports HTML, CSS, JavaScript, and other web technologies for front-end development, along with server-side scripting languages. Apache Spark, in contrast, supports programming in multiple languages like Scala, Java, Python, and R, enabling data processing and analytics tasks to be performed using different language preferences.
4. **Deployment Environment**: Dreamweaver is a desktop application that runs on Windows and macOS for local website development and design. Apache Spark, in contrast, is designed to run on distributed clusters, supporting deployment on cloud platforms like AWS, Azure, and Google Cloud, facilitating scalability and parallel processing for large-scale data processing tasks.
5. **Community Support and Documentation**: Dreamweaver has a community of web designers and developers providing tutorials, forums, and resources for assistance. Apache Spark, being an open-source project, has a strong community backing, extensive documentation, online courses, and support from the Apache Software Foundation, ensuring a wealth of resources for users.
6. **Cost**: Dreamweaver is a commercial product offered through Adobe Creative Cloud subscription plans, with different pricing tiers. Apache Spark, being open-source, is freely available and can be downloaded and used without any licensing fees, making it a cost-effective solution for organizations working with large datasets and big data analytics.

In Summary, Adobe Dreamweaver and Apache Spark cater to distinct user bases with different functionalities, programming languages, deployment environments, community support, and cost structures.

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Advice on Apache Spark, Adobe Dreamweaver

Nilesh
Nilesh

Technical Architect at Self Employed

Jul 8, 2020

Needs adviceonElasticsearchElasticsearchKafkaKafka

We have a Kafka topic having events of type A and type B. We need to perform an inner join on both type of events using some common field (primary-key). The joined events to be inserted in Elasticsearch.

In usual cases, type A and type B events (with same key) observed to be close upto 15 minutes. But in some cases they may be far from each other, lets say 6 hours. Sometimes event of either of the types never come.

In all cases, we should be able to find joined events instantly after they are joined and not-joined events within 15 minutes.

576k views576k
Comments

Detailed Comparison

Apache Spark
Apache Spark
Adobe Dreamweaver
Adobe Dreamweaver

Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.

It gives you faster, easier ways to design, code and publish websites and web applications that look amazing on any size screen. Create, code and manage dynamic websites easily with a smart, simplified coding engine. Access code hints to quickly learn and edit HTML, CSS and other web standards. And use visual aids to reduce errors and speed up site development.

Run programs up to 100x faster than Hadoop MapReduce in memory, or 10x faster on disk;Write applications quickly in Java, Scala or Python;Combine SQL, streaming, and complex analytics;Spark runs on Hadoop, Mesos, standalone, or in the cloud. It can access diverse data sources including HDFS, Cassandra, HBase, S3
Build responsive websites; simplified coding engine
Statistics
GitHub Stars
42.2K
GitHub Stars
-
GitHub Forks
28.9K
GitHub Forks
-
Stacks
3.1K
Stacks
158
Followers
3.5K
Followers
249
Votes
140
Votes
17
Pros & Cons
Pros
  • 61
    Open-source
  • 48
    Fast and Flexible
  • 8
    One platform for every big data problem
  • 8
    Great for distributed SQL like applications
  • 6
    Easy to install and to use
Cons
  • 4
    Speed
Pros
  • 3
    FTP
  • 2
    Real-time preview
  • 2
    All-in-one
  • 2
    Visual editor
  • 2
    Modern code editor
Cons
  • 2
    Does not have a user-friendly UI
  • 2
    Is not cheap
  • 1
    Slow and sluggish to use
Integrations
No integrations available
PostCSS
PostCSS
PHP
PHP
JavaScript
JavaScript
HTML5
HTML5

What are some alternatives to Apache Spark, Adobe Dreamweaver?

Sublime Text

Sublime Text

Sublime Text is available for OS X, Windows and Linux. One license is all you need to use Sublime Text on every computer you own, no matter what operating system it uses. Sublime Text uses a custom UI toolkit, optimized for speed and beauty, while taking advantage of native functionality on each platform.

Atom

Atom

At GitHub, we're building the text editor we've always wanted. A tool you can customize to do anything, but also use productively on the first day without ever touching a config file. Atom is modern, approachable, and hackable to the core. We can't wait to see what you build with it.

Vim

Vim

Vim is an advanced text editor that seeks to provide the power of the de-facto Unix editor 'Vi', with a more complete feature set. Vim is a highly configurable text editor built to enable efficient text editing. It is an improved version of the vi editor distributed with most UNIX systems. Vim is distributed free as charityware.

Visual Studio Code

Visual Studio Code

Build and debug modern web and cloud applications. Code is free and available on your favorite platform - Linux, Mac OSX, and Windows.

Notepad++

Notepad++

Notepad++ is a free (as in "free speech" and also as in "free beer") source code editor and Notepad replacement that supports several languages. Running in the MS Windows environment, its use is governed by GPL License.

Emacs

Emacs

GNU Emacs is an extensible, customizable text editor—and more. At its core is an interpreter for Emacs Lisp, a dialect of the Lisp programming language with extensions to support text editing.

Brackets

Brackets

With focused visual tools and preprocessor support, it is a modern text editor that makes it easy to design in the browser.

Neovim

Neovim

Neovim is a project that seeks to aggressively refactor Vim in order to: simplify maintenance and encourage contributions, split the work between multiple developers, enable the implementation of new/modern user interfaces without any modifications to the core source, and improve extensibility with a new plugin architecture.

Presto

Presto

Distributed SQL Query Engine for Big Data

VSCodium

VSCodium

It is a community-driven, freely-licensed binary distribution of Microsoft’s editor VSCode.

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