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VMware Workstation VS Apache Spark

Compare VMware Workstation VS Apache Spark and see what are their differences

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VMware Workstation logo VMware Workstation

VMware Workstation is a multiple operating system handler to easily evaluate the any other type of new operating systems.

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.
  • VMware Workstation Landing page
    Landing page //
    2023-06-22
  • Apache Spark Landing page
    Landing page //
    2021-12-31

VMware Workstation features and specs

  • Cross-platform Compatibility
    VMware Workstation supports a wide range of operating systems, allowing users to run multiple OS environments on a single physical machine.
  • Snapshot and Cloning Features
    Users can take snapshots of virtual machines for easy backups, experimentation, or rolling back changes. Cloning allows for easy duplication of VMs.
  • Advanced Networking
    Offers robust networking capabilities including support for virtual networks, NAT, and bridged configurations, giving users significant flexibility in setting up network environments.
  • High Performance
    VMware Workstation is optimized for performance, offering high-speed processing and efficient use of hardware resources.
  • Seamless Integration
    Integrates well with other VMware products, easing the migration of virtual machines between systems and cloud environments.

Possible disadvantages of VMware Workstation

  • High Cost
    The software can be expensive, especially for the Pro version, which may not be cost-effective for individual users or small businesses.
  • Resource Intensive
    Requires substantial hardware resources, including significant CPU and memory usage, which can be a limitation for users with older or less powerful systems.
  • Learning Curve
    The advanced features and capabilities may demand a steep learning curve for new users, requiring time and effort to master.
  • Limited Mac OS Support
    While VMware has Fusion for Mac, VMware Workstation is primarily designed for Windows and Linux, which may not be ideal for Mac users.
  • Dependency on Physical Hardware
    Performance and capabilities are dependent on the underlying physical hardware, making it necessary to have high-spec machines for optimal performance.

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.

VMware Workstation videos

+ Add

VirtualBox vs VMware Player - In-Depth Comparison on Ubuntu 18.04

More videos:

  • Review - Parallels Desktop vs VMware Fusion Review | Best Mac Apps
  • Review - VMware Workstation 10 Program Review
  • Review - Intro VMware Workstation Player
  • Review - Is VMware Workstation Player for Linux a Virtualbox Replacement?
  • Review - Vmware Player VS Vmware Pro VS Virtualbox
  • Review - VMWare Fusion 11 Performance
  • Review - Parallels Desktop vs VMWare Fusion - PERFORMANCE Comparison! Who WON?

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 VMware Workstation and Apache Spark)

VMware Workstation

Apache Spark

Cloud Computing
100 100%
Cloud Computing
0% 0
Databases
0 0%
Databases
100% 100
Virtualization
100 100%
Virtualization
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using VMware Workstation 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 VMware Workstation and Apache Spark

VMware Workstation Reviews

Best Alternatives of VirtualBox for Windows
Workstation Player is also capable of running restricted virtual machines, that is, machines created with VMware Workstation Pro. This makes it the ideal solution to deploy in an educational environment without incurring exorbitant hardware and software expenses. Workstation Player virtual machines are portable too, so you can transfer the entire VM file to a flash drive or...
Source: www.bollyinside.com
10 Best VMware Alternatives and Similar Software
VMware’s services include virtualization, networking and security management tools, and storage, to name a few. VMware vSphere is a server virtualization tool for deploying and managing large-scale virtual machine infrastructures. VMware vSphere, often known as a virtualized data center system, allows IT departments to deploy workloads on the most cost-effective...
Source: www.regendus.com
Best Free Virtual Machine Software in 2022 – Start Your New Career
Both these applications have similar features and user-friendliness, but the configurations are developed for their respective Operating Systems. VMware player is a free product if you are looking to use this program personally. But it lacks some of the important features to use as a complete virtual machine software compared to VirtualBox or VMware workstation. If you are...
Source: www.sysprobs.com
12 Best FREE Virtual Machine (VM) Software in 2020
VMware Fusion for Mac is Virtual Machine software. This tool is known for cloud computing and virtualization software. It allows you to use multiple applications on different OS at the same time.
Source: www.guru99.com
7 VirtualBox Alternatives You Can Consider
This virtualization software gives tough competition to big names like VMware Fusion and VMware Workstation pro when it comes to simultaneously running two OS. It is advertised for running Windows on Mac because for years it was only available for Mac users. But now a Windows version is also available with support for Linux and Chrome OS as a guest operating system. It works...
Source: www.techuntold.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 seems to be more popular. 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.

VMware Workstation mentions (0)

We have not tracked any mentions of VMware Workstation yet. Tracking of VMware Workstation recommendations started around Mar 2021.

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 / 3 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 VMware Workstation and Apache Spark, you can also consider the following products

VirtualBox - VirtualBox is a powerful x86 and AMD64/Intel64 virtualization product for enterprise as well as...

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

QEMU - QEMU (short for "Quick EMUlator") is a free and open-source hosted hypervisor that...

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

Proxmox VE - Proxmox is an open-source server virtualization management solution that offers the ability to manage virtual server technology with the Linux OpenVZ and KVM technology.

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

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