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Spark Streaming VS QEMU

Compare Spark Streaming VS QEMU and see what are their differences

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Spark Streaming logo Spark Streaming

Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.

QEMU logo QEMU

QEMU (short for "Quick EMUlator") is a free and open-source hosted hypervisor that...
  • Spark Streaming Landing page
    Landing page //
    2022-01-10
  • QEMU Landing page
    Landing page //
    2022-01-14

Spark Streaming features and specs

  • Scalability
    Spark Streaming is highly scalable and can handle large volumes of data by distributing the workload across a cluster of machines. It leverages Apache Spark's capabilities to scale out easily and efficiently.
  • Integration
    It integrates seamlessly with other components of the Spark ecosystem, such as Spark SQL, MLlib, and GraphX, allowing for comprehensive data processing pipelines.
  • Fault Tolerance
    Spark Streaming provides fault tolerance by using Spark's micro-batching approach, which allows the system to recover data in case of a failure.
  • Ease of Use
    Spark Streaming provides high-level APIs in Java, Scala, and Python, making it relatively easy to develop and deploy streaming applications quickly.
  • Unified Platform
    It provides a unified platform for both batch and streaming data processing, allowing reuse of code and resources across different types of workloads.

Possible disadvantages of Spark Streaming

  • Latency
    Spark Streaming operates on a micro-batch processing model, which introduces latency compared to real-time processing. This may not be suitable for applications requiring immediate responses.
  • Complexity
    While it integrates well with other Spark components, building complex streaming applications can still be challenging and may require expertise in distributed systems and stream processing concepts.
  • Resource Management
    Efficiently managing cluster resources and tuning the system can be difficult, especially when dealing with variable workload and ensuring optimal performance.
  • Backpressure Handling
    Handling backpressure effectively can be a challenge in Spark Streaming, requiring careful management to prevent resource saturation or data loss.
  • Limited Windowing Support
    Compared to some stream processing frameworks, Spark Streaming has more limited options for complex windowing operations, which can restrict some advanced use cases.

QEMU features and specs

  • Open Source
    QEMU is completely open-source, meaning it is free to use and its source code is available for modification and improvement by the community.
  • Platform Support
    QEMU supports a wide range of architectures and platforms, allowing users to emulate systems from x86 to ARM and beyond.
  • Performance
    When used with KVM (Kernel-based Virtual Machine), QEMU offers near-native performance for virtual machines on x86 hardware.
  • Flexibility
    QEMU can be used for a variety of tasks, such as running virtual machines, debugging, or even virtualization for embedded systems.
  • Integration
    QEMU integrates well with other systems and tools, making it a versatile component in large, complex setups (e.g., OpenStack).

Possible disadvantages of QEMU

  • Complexity
    The vast array of features and configuration options can make QEMU overwhelming and difficult to set up for beginners.
  • Performance Overhead
    Without the use of KVM or other hardware acceleration, QEMU's performance can be significantly slower compared to other hypervisors.
  • Limited GUI
    QEMU primarily operates via command-line interface, which might not be user-friendly for individuals who prefer graphical user interfaces.
  • Sparse Documentation
    While improving, some parts of QEMU's documentation remain sparse or difficult to understand, which can pose challenges during advanced configurations or troubleshooting.
  • Resource Intensive
    Running multiple instances of QEMU can be resource-intensive on the host system, which may affect overall performance.

Spark Streaming videos

+ Add

Spark Streaming Vs Kafka Streams || Which is The Best for Stream Processing?

More videos:

  • Tutorial - Spark Streaming Vs Structured Streaming Comparison | Big Data Hadoop Tutorial

QEMU videos

+ Add

What is QEMU?

More videos:

  • Review - Creating Virtual Machines in QEMU | Virt-manager | KVM
  • Review - Community Code Review & QEMU

Category Popularity

0-100% (relative to Spark Streaming and QEMU)

Spark Streaming

QEMU

Stream Processing
100 100%
Stream Processing
0% 0
Cloud Computing
0 0%
Cloud Computing
100% 100
Data Management
100 100%
Data Management
0% 0
Virtualization
0 0%
Virtualization
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 Spark Streaming and QEMU

Spark Streaming Reviews

We have no reviews of Spark Streaming yet.
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QEMU Reviews

15 Lutris Alternatives
QEMU is a piece of open-source software for simulating hardware. It lets users of one operating system (OS) use apps made for another. The virtualization software could then be put on these host operating systems. It enables computers with one OS to use software made for a different OS. With the help of dynamic translation, users can do well in what they do. This software is...
Source: www.justalternativeto.com
Best Alternatives of VirtualBox for Windows
Short for Quick Emulator, QEMU is another free and open source virtualization solution for a variety of operating systems. While it is immensely powerful, it is also one of the least user friendly out there. QEMU offers a host of advanced capabilities and features that others of the same genre fall short of, including a wide variety of architectures in place of the...
Source: www.bollyinside.com
10 Best VMware Alternatives and Similar Software
QEMU also allows users to run applications from other computers from within their operating system. QEMU’s great performance is ensured via a dynamic translation.
Source: www.regendus.com
12 Best FREE Virtual Machine (VM) Software in 2020
QEMU is another popular emulator and virtualization machine, which is a short form of Quick Emulator. This system is written in C language.
Source: www.guru99.com
7 VirtualBox Alternatives You Can Consider
QEMU stands for “quick emulator” which is a highly capable open source and free virtualization software. It has support for Windows, Linux, and macOS as a guest and can also run on all three host platforms. Installing it is comparatively easier but gets a bit complicated while using it. While it doesn’t need a high configuration PC to run. To run your guest OS on the virtual...
Source: www.techuntold.com

Social recommendations and mentions

Based on our record, Spark Streaming should be more popular than QEMU. It has been mentiond 5 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.

Spark Streaming mentions (5)

  • RisingWave Turns Four: Our Journey Beyond Democratizing Stream Processing
    The last decade saw the rise of open-source frameworks like Apache Flink, Spark Streaming, and Apache Samza. These offered more flexibility but still demanded significant engineering muscle to run effectively at scale. Companies using them often needed specialized stream processing engineers just to manage internal state, tune performance, and handle the day-to-day operational challenges. The barrier to entry... - Source: dev.to / about 2 months ago
  • Streaming Data Alchemy: Apache Kafka Streams Meet Spring Boot
    Apache Spark Streaming: Offers micro-batch processing, suitable for high-throughput scenarios that can tolerate slightly higher latency. https://spark.apache.org/streaming/. - Source: dev.to / 10 months ago
  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / over 1 year ago
  • Machine Learning Pipelines with Spark: Introductory Guide (Part 1)
    Spark Streaming: The component for real-time data processing and analytics. - Source: dev.to / over 2 years ago
  • Spark for beginners - and you
    Is a big data framework and currently one of the most popular tools for big data analytics. It contains libraries for data analysis, machine learning, graph analysis and streaming live data. In general Spark is faster than Hadoop, as it does not write intermediate results to disk. It is not a data storage system. We can use Spark on top of HDFS or read data from other sources like Amazon S3. It is the designed... - Source: dev.to / over 3 years ago

QEMU mentions (3)

  • Podman and production use
    Qemu.org, wiki.qemu.org, patchew.org, kvm-forum.qemu.org are all Podman containers on the same machine (running CentOS Stream 9) with an nginx front-end. Nginx and certbot are the only two things that run outside containers. Source: almost 2 years ago
  • From WampServer, to Vagrant, to QEMU
    As someone who enjoys playing video games, and a recent convert to Linux, I was well aware of the derth of support for games. I was also aware of some of the solutions, one of those being GPU passthrough to this thing called QEMU. QEMU is a fast and lightweight machine emulator and virtualizer. This was of course something that interested me, so I went about exploring QEMU and playing with it. When I first started... - Source: dev.to / over 2 years ago
  • Premium fonts on Linux
    Install the windows-version using https://WineHQ.org or put in an a VM, like https://qemu.org/. Source: about 3 years ago

What are some alternatives?

When comparing Spark Streaming and QEMU, you can also consider the following products

Confluent - Confluent offers a real-time data platform built around Apache Kafka.

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

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

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

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

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.

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