QEMU
VirtualBox
VMware Workstation
Proxmox VE
Portable Virtualbox
Parallels Desktop
TeamViewer
Hyper-V
Apache Spark
Apache Flink
Hadoop
Apache Storm
Apache Kafka
Apache Hive
Google Cloud Dataflow
Spring Batch
Apache SparkBased on our record, Apache Spark seems to be a lot more popular than QEMU. While we know about 70 links to Apache Spark, we've tracked only 3 mentions of QEMU. 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.
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
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
Install the windows-version using https://WineHQ.org or put in an a VM, like https://qemu.org/. Source: almost 3 years ago
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
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
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 / 3 months ago
[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
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
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.
VMware Workstation - VMware Workstation is a multiple operating system handler to easily evaluate the any other type of new operating systems.
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.