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IPFS VS Hadoop

Compare IPFS VS Hadoop and see what are their differences


IPFS is the permanent web. A new peer-to-peer hypermedia protocol.

Open-source software for reliable, scalable, distributed computing
IPFS Landing Page
IPFS Landing Page
Hadoop Landing Page
Hadoop Landing Page

IPFS details

Categories
Cloud Storage File Sharing Encrypted Cloud Storage
Website ipfs.io  

Hadoop details

Categories
Databases Big Data Relational Databases
Website hadoop.apache.org  

IPFS videos

Why IPFS? - Juan Benet

More videos:

  • - Ether-1 Project Review - Decentralized Web Hosting - IPFS Protocol - DAPPS

Hadoop videos

What is Big Data and Hadoop?

More videos:

  • - Product Ratings on Customer Reviews Using HADOOP.
  • - Hadoop Tutorial For Beginners | Hadoop Ecosystem Explained in 20 min! - Frank Kane

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Reviews

These are some of the external sources and on-site user reviews we've used to compare IPFS and Hadoop

IPFS Reviews

We have no reviews of IPFS yet.
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Hadoop Reviews

16 Top Big Data Analytics Tools You Should Know About
Hadoop is an Apache open-source framework. Written in Java, Hadoop is an ecosystem of components that are primarily used to store, process, and analyze big data. The USP of Hadoop is it enables multiple types of analytic workloads to run on the same data, at the same time, and on a massive scale on industry-standard hardware.
5 Best-Performing Tools that Build Real-Time Data Pipeline
Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than relying on hardware to deliver high-availability, the library itself is...

Social recommendations and mentions

Based on our record, IPFS seems to be a lot more popular than Hadoop. While we know about 109 links to IPFS, we've tracked only 5 mentions of Hadoop. We are tracking product recommendations and mentions on Reddit, HackerNews and some other platforms. They can help you identify which product is more popular and what people think of it.

IPFS mentions (109)

  • How do NFTs work on a technical level?
    Ipfs.io is just a public gateway to IPFS. The files are stored on the IPFS network, aka. On multiple computers. Objects (files) on IPFS are identified by a unique hash, as in every single object has a unique hash as their ID. If you change the file, the hash changes. IPFS is immutable so changing the actual jpeg of an NFT is not possible. And as of my best understanding there's a tokenUri for ERC-721 tokens that... - Source: Reddit / 4 days ago
  • Ideas for Peer to Peer File Sharing/Synchronization program
    I thought about implementing something similar to Syncthing but using I IPFS protocol for sharing files instead of the Block Exchange protocol that Syncthing uses. - Source: Reddit / 6 days ago
  • Hello World!
    Well, you you could mount ipfs, which includes a mirror of wikipedia, among many other things. - Source: Reddit / 8 days ago
  • I remember seeing a project, but can't recall it's name. The project was about creating shared drives on internet. Each user would allocate a portion of space and that would be merged in one big drive. What was it's name? Or what are some fancy ways of sharing a lot of data without duplication?
    Haven't looked in a while, sounds kinda like ipfs https://ipfs.io/. - Source: Reddit / 8 days ago
  • Question about the legality of using IPFS hashes of copyrighted content within a web/app
    On a decentralized setup it would be more difficult to know if you could be held liable since while users could host their (legally) obteined files in their IPFS node so the app works properly they could also just use the app and download the files from other peers who might have done the same themselves or instead of using their own node they could input a public node address (ipfs, infura, ipfs.io ...). Users... - Source: Reddit / 11 days ago

Hadoop mentions (5)

  • 5 Best Big Data Frameworks You Can Learn in 2021
    Both Fortune 500 and small companies are looking for competent people who can derive useful insight from their huge pile of data and that's where Big Data Framework like Apache Hadoop, Apache Spark, Flink, Storm, and Hive can help. - Source: dev.to / 5 months ago
  • The Data Engineering Interview Study Guide
    Some positions require Hadoop, others SQL. Some roles require understanding statistics, while still others require heavy amounts of system design. - Source: dev.to / 3 months ago
  • Currently in Data Science. Should I make the move?
    It'd be best to clarify exactly what we mean by "Hadoop", but if we define it as the suite described here then the only components I still see being used for greenfield are HDFS - or, to be more specific, HDFS-compatible filesystems (AWS EMR and Azure Data Lake Storage both offer HDFS compatibility) - and maybe (Spark) YARN. - Source: Reddit / 5 months ago

What are some alternatives?

When comparing IPFS and Hadoop, you can also consider the following products

Dropbox - Online Sync and File Sharing

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Syncthing - Syncthing replaces proprietary sync and cloud services with something open, trustworthy and...

Hortonworks - Hadoop-Related

Google Drive - Access and sync your files anywhere

Hive - Seamless project management and collaboration for your team.

User reviews

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