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 | |
|---|---|---|
| 13 | 3 | |
| 12,591 | 859 | |
| 1.3% | 0.9% | |
| 9.8 | 6.0 | |
| about 19 hours ago | about 2 months ago | |
| Java | C++ | |
| GNU General Public License v3.0 or later | 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 2022-03-27.
- Pokemon vs Programming
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Big Data Processing, EMR with Spark and Hadoop | Python, PySpark
Apache Hadoop is an open source framework that is used to efficiently store and process large datasets ranging in size from gigabytes to petabytes of data.Wanna dig more dipper?
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Unknown Python.exe process taking 2% CPU
Few related projects too it on the side of the page here that might be familiar https://hadoop.apache.org/
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How do I make multiple computers run as one?
The computers that you have appear to use an x86 architecture. Therefore, you could most likely install a Linux distro on each one. Then, you could use something like Apache Hadoop to execute some sort of distributed process across each computer.
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Spark for beginners - and you
Hadoop is an ecosystem of tools for big data storage and data analysis. It is older than Spark and writes intermediate results to disk whereas Spark tires to keep data in memory whenever possible, so this is faster in many use cases.
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Dreaming and Breaking Molds – Establishing Best Practices with Scott Haines
So Yahoo bought that. I think it was 2013 or 2014. Timelines are hard. But I wanted to go join the Games team and start things back up. But that was also my first kind of experience in actually building recommendation engines or working with lots of data. And I think for me, like that was, I guess...at the time, we were using something called Apache Storm. We had Hadoop, which had been around for a while. And it was like one of the biggest user groups was out of the Yahoo campus. It was called the HUG group, like the Hadoop Users Group. So they met for basically pizza and stories on Wednesdays once a month, which was really fun.
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Setting up a single-node Hadoop cluster
Hadoop: http://hadoop.apache.org/
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Spark is lit once again
Here at Exacaster Spark applications have been used extensively for years. We started using them on our Hadoop clusters with YARN as an application manager. However, with our recent product, we started moving towards a Cloud-based solution and decided to use Kubernetes for our infrastructure needs.
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The Data Engineer Roadmap 🗺
Apache Hadoop and HDFS
- Whatever java can do there is a better alternative in job market?
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 2021-06-16.
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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:
MooseFS - MooseFS – Open Source, Petabyte, Fault-Tolerant, Highly Performing, Scalable Network Distributed File System (Software-Defined Storage)
Go IPFS - IPFS implementation in Go
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.
GlusterFS - Gluster Filesystem : Build your distributed storage in minutes
Weka
GlusterFS - Web Content for gluster.org -- Deprecated as of September 2017
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows