Apache Hadoop
Apache Hadoop (by apache)
lizardfs
LizardFS is an Open Source Distributed File System licensed under GPLv3. (by lizardfs)
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| Apache Hadoop | lizardfs | |
|---|---|---|
| 26 | 4 | |
| 14,301 | 944 | |
| 0.8% | 0.2% | |
| 9.9 | 3.3 | |
| 1 day ago | 7 months ago | |
| Java | C++ | |
| Apache License 2.0 | GNU General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Apache Hadoop
Posts with mentions or reviews of Apache Hadoop.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-23.
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Getting thousands of files of output back from a container
Did you check out tools like https://hadoop.apache.org/ ?
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Trying to run hadoop using docker
check out the various dockerfiles bundled with hadoop on GitHub. you can point to them from within docker-compose. they haven't been updated in a couple years tho.
- Unveiling the Analytics Industry in Bangalore
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5 Best Practices For Data Integration To Boost ROI And Efficiency
There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka.
- Hadoop or Spark?
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Data Engineering and DataOps: A Beginner's Guide to Building Data Solutions and Solving Real-World Challenges
There are several frameworks available for batch processing, such as Hadoop, Apache Storm, and DataTorrent RTS.
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Effortlessly Set Up a Hadoop Multi-Node Cluster on Windows Machines with Our Step-by-Step Guide
A copy of Hadoop installed on each of these machines. You can download Hadoop from the Apache website, or you can use a distribution like Cloudera or Hortonworks.
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In One Minute : Hadoop
The Apache™ Hadoop™ project develops open-source software for reliable, scalable, distributed computing.
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Elon Musk dissolves Twitter's board of directors
So, clearly with your AP CS class and PLC logic knowledge, if you were dumped into a codebase like Hadoop, QT, or TensorFlow you'd be able to quickly and competently analyze what is going on with that code, understand all the libraries used, know the reasons why certain compromises were made, and be able to make suggestions on how to restructure the code in a different way? Because I've been programming for coming up on two decades and unless a system is within the domains that I have experience in, I would not be able to provide any useful information without a massive onboarding timeline, and definitely wouldn't be able to help redesign anything until actually coding within the system for a significant amount of time.
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A peek into Location Data Science at Ola
This requires the use of distributed computation tools such as Spark and Hadoop, Flink and Kafka are used. But for occasional experimentation, Pandas, Geopandas and Dask are some of the commonly used tools.
lizardfs
Posts with mentions or reviews of lizardfs.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-30.
- Distributed Network File System
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cloud storage "merged" on multiple VPSes
Have a look at https://github.com/lizardfs/lizardfs perhaps is what you want
- ZFS fans, rejoice—RAIDz expansion will be a thing very soon
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Had to add a second sata card and upgrade to a 1600 watt power supply because spinning up 17 drives was too much for my poor 900 watt...
That's a lotta eggs to put in one basket. I started using LizardFS for mass storage and it basically allows me to grow/shrink easily. https://lizardfs.com/
What are some alternatives?
When comparing Apache Hadoop and lizardfs you can also consider the following projects:
Go IPFS - IPFS implementation in Go [Moved to: https://github.com/ipfs/kubo]
MooseFS - MooseFS – Open Source, Petabyte, Fault-Tolerant, Highly Performing, Scalable Network Distributed File System (Software-Defined Storage)
Ceph - Ceph is a distributed object, block, and file storage platform
Seaweed File System - SeaweedFS is a fast distributed storage system for blobs, objects, files, and data lake, for billions of files! Blob store has O(1) disk seek, cloud tiering. Filer supports Cloud Drive, cross-DC active-active replication, Kubernetes, POSIX FUSE mount, S3 API, S3 Gateway, Hadoop, WebDAV, encryption, Erasure Coding. [Moved to: https://github.com/seaweedfs/seaweedfs]
GlusterFS - Gluster Filesystem : Build your distributed storage in minutes
Weka
rozofs - Scale-out storage using erasure coding
GlusterFS - Web Content for gluster.org -- Deprecated as of September 2017
LeoFS - The LeoFS Storage System