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Hyperledger VS Hadoop

Compare Hyperledger VS Hadoop and see what are their differences

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Hyperledger logo Hyperledger

Hyperledger is a multi-project open source collaborative effort hosted by The Linux Foundation, created to advance cross-industry blockchain technologies.

Hadoop logo Hadoop

Open-source software for reliable, scalable, distributed computing
  • Hyperledger Landing page
    Landing page //
    2023-09-26
  • Hadoop Landing page
    Landing page //
    2021-09-17

Hyperledger features and specs

  • Permissioned Network
    Hyperledger operates on a permissioned blockchain, meaning that participants must be known and authorized. This enhances security and trust among members of the network.
  • Modular Architecture
    Its modular architecture allows users to plug and play different components like consensus algorithms, membership services, and data storage options, offering great flexibility and customization.
  • High Scalability
    Hyperledger is designed to scale with the needs of different businesses, making it suitable for large enterprise-level applications.
  • Strong Governance
    Backed by the Linux Foundation, Hyperledger benefits from strong governance and contributions from industry leaders, ensuring better code quality and ongoing development.
  • Interoperability
    Hyperledger prioritizes interoperability between different blockchain networks, allowing for seamless integration and communication across different platforms.

Possible disadvantages of Hyperledger

  • Complex Setup
    Setting up and managing a Hyperledger network can be complex and may require significant expertise, making it less accessible for small businesses or individual developers.
  • Limited Adoption
    Compared to public blockchains like Ethereum and Bitcoin, Hyperledger has less widespread adoption, which could limit its network effects and community support.
  • Performance Overhead
    The additional layers of security and permissioned access can introduce performance overhead, potentially affecting transaction speeds and overall system performance.
  • Cost
    The need for specialized knowledge and potentially complex hardware setups can translate to higher costs, which may not be feasible for all organizations.
  • Less Decentralization
    Because Hyperledger is permissioned, it offers less decentralization compared to public blockchains. This could be a drawback for users who prioritize a decentralized network.

Hadoop features and specs

  • Scalability
    Hadoop can easily scale from a single server to thousands of machines, each offering local computation and storage.
  • Cost-Effective
    It utilizes a distributed infrastructure, allowing you to use low-cost commodity hardware to store and process large datasets.
  • Fault Tolerance
    Hadoop automatically maintains multiple copies of all data and can automatically recover data on failure of nodes, ensuring high availability.
  • Flexibility
    It can process a wide variety of structured and unstructured data, including logs, images, audio, video, and more.
  • Parallel Processing
    Hadoop's MapReduce framework enables the parallel processing of large datasets across a distributed cluster.
  • Community Support
    As an Apache project, Hadoop has robust community support and a vast ecosystem of related tools and extensions.

Possible disadvantages of Hadoop

  • Complexity
    Setting up, maintaining, and tuning a Hadoop cluster can be complex and often requires specialized knowledge.
  • Overhead
    The MapReduce model can introduce additional overhead, particularly for tasks that require low-latency processing.
  • Security
    While improvements have been made, Hadoop's security model is considered less mature compared to some other data processing systems.
  • Hardware Requirements
    Though it can run on commodity hardware, Hadoop can still require significant computational and storage resources for larger datasets.
  • Lack of Real-Time Processing
    Hadoop is mainly designed for batch processing and is not well-suited for real-time data analytics, which can be a limitation for certain applications.
  • Data Integrity
    Distributed systems face challenges in maintaining data integrity and consistency, and Hadoop is no exception.

Hyperledger videos

+ Add

Traxion ICO review - Hyperledger fabric technology

More videos:

  • Review - Matrix AI Review - $MAN - Intelligent Blockchain - Easier | Safer | Faster | Flexible + Hyperledger
  • Review - Overview: Agents and Hyperledger Indy - Kyle Den Hartog, Evernym - Part 1

Hadoop videos

+ Add

What is Big Data and Hadoop?

More videos:

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

Category Popularity

0-100% (relative to Hyperledger and Hadoop)

Hyperledger

Hadoop

Cloud Infrastructure
100 100%
Cloud Infrastructure
0% 0
Databases
0 0%
Databases
100% 100
Cloud Computing
100 100%
Cloud Computing
0% 0
Big Data
0 0%
Big Data
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 Hyperledger and Hadoop

Hyperledger Reviews

We have no reviews of Hyperledger yet.
Be the first one to post

Hadoop Reviews

A List of The 16 Best ETL Tools And Why To Choose Them
Companies considering Hadoop should be aware of its costs. A significant portion of the cost of implementing Hadoop comes from the computing power required for processing and the expertise needed to maintain Hadoop ETL, rather than the tools or storage themselves.
Source: www.datacamp.com
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.
Source: www.analytixlabs.co.in
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...
Source: www.analyticsinsight.net

Social recommendations and mentions

Based on our record, Hadoop seems to be a lot more popular than Hyperledger. While we know about 25 links to Hadoop, we've tracked only 2 mentions of Hyperledger. 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.

Hyperledger mentions (2)

  • Do You Need a Blockchain?
    In my day job[0], I talk to a lot of start-up ventures about blockchain. Only one was honest enough to say they were only using it because, at the time, it was easier to get funding. [0]: https://hyperledger.org/. - Source: Hacker News / over 3 years ago
  • Ethereum Tech Used to Build a Smart Contract Platform for 5G Mobile Networks
    Ethereum is not just currency at its core, its a smart contract platform which is used to implement distributed consensus, where each participating party sign the result, with their consensus algorithm. Currency is a side effect. You can just remove the entire ETH/gas dependency on the base, to use the platform as a distributed ledger between all the participants. And use another kind of consensus algo(proof of... Source: almost 4 years ago

Hadoop mentions (25)

  • Apache Hadoop: Open Source Business Model, Funding, and Community
    This post provides an in‐depth look at Apache Hadoop, a transformative distributed computing framework built on an open source business model. We explore its history, innovative open funding strategies, the influence of the Apache License 2.0, and the vibrant community that drives its continuous evolution. Additionally, we examine practical use cases, upcoming challenges in scaling big data processing, and future... - Source: dev.to / 13 days ago
  • What is Apache Kafka? The Open Source Business Model, Funding, and Community
    Modular Integration: Thanks to its modular approach, Kafka integrates seamlessly with other systems including container orchestration platforms like Kubernetes and third-party tools such as Apache Hadoop. - Source: dev.to / 14 days ago
  • India Open Source Development: Harnessing Collaborative Innovation for Global Impact
    Over the years, Indian developers have played increasingly vital roles in many international projects. From contributions to frameworks such as Kubernetes and Apache Hadoop to the emergence of homegrown platforms like OpenStack India, India has steadily carved out a global reputation as a powerhouse of open source talent. - Source: dev.to / 20 days ago
  • Unveiling the Apache License 2.0: A Deep Dive into Open Source Freedom
    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 / 2 months ago
  • Apache Hadoop: Pioneering Open Source Innovation in Big Data
    Apache Hadoop is more than just software—it’s a full-fledged ecosystem built on the principles of open collaboration and decentralized governance. Born out of a need to process vast amounts of information efficiently, Hadoop uses a distributed file system and the MapReduce programming model to enable scalable, fault-tolerant computing. Central to its success is a diverse ecosystem that includes influential... - Source: dev.to / 3 months ago
View more

What are some alternatives?

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

Ethereum - Ethereum is a decentralized platform for applications that run exactly as programmed without any chance of fraud, censorship or third-party interference.

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

IBM MQ - IBM MQ is messaging middleware that simplifies and accelerates the integration of diverse applications and data across multiple platforms.

Apache Storm - Apache Storm is a free and open source distributed realtime computation system.

BlockCypher - AWS for Block Chains

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

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