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Apache Spark VS Hyperledger

Compare Apache Spark VS Hyperledger and see what are their differences

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Apache Spark logo Apache Spark

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

Hyperledger logo Hyperledger

Hyperledger is a multi-project open source collaborative effort hosted by The Linux Foundation, created to advance cross-industry blockchain technologies.
  • Apache Spark Landing page
    Landing page //
    2021-12-31
  • Hyperledger Landing page
    Landing page //
    2023-09-26

Apache Spark videos

+ Add

Weekly Apache Spark live Code Review -- look at StringIndexer multi-col (Scala) & Python testing

More videos:

  • Review - What's New in Apache Spark 3.0.0
  • Review - Apache Spark for Data Engineering and Analysis - Overview

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

Category Popularity

0-100% (relative to Apache Spark and Hyperledger)

Apache Spark

Hyperledger

Databases
100 100%
Databases
0% 0
Cloud Infrastructure
0 0%
Cloud Infrastructure
100% 100
Big Data
100 100%
Big Data
0% 0
Cloud Computing
0 0%
Cloud Computing
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 Apache Spark and Hyperledger

Apache Spark Reviews

15 data science tools to consider using in 2021
Apache Spark is an open source data processing and analytics engine that can handle large amounts of data -- upward of several petabytes, according to proponents. Spark's ability to rapidly process data has fueled significant growth in the use of the platform since it was created in 2009, helping to make the Spark project one of the largest open source communities among big...
Source: searchbusinessanalytics.techtarget.com
Top 15 Kafka Alternatives Popular In 2021
Apache Spark is a well-known, general-purpose, open-source analytics engine for large-scale, core data processing. It is known for its high-performance quality for data processing – batch and streaming with the help of its DAG scheduler, query optimizer, and engine. Data streams are processed in real-time and hence it is quite fast and efficient. Its machine learning...
Source: www.spec-india.com
5 Best-Performing Tools that Build Real-Time Data Pipeline
Apache Spark is an open-source and flexible in-memory framework which serves as an alternative to map-reduce for handling batch, real-time analytics and data processing workloads. It provides native bindings for the Java, Scala, Python, and R programming languages, and supports SQL, streaming data, machine learning and graph processing. From its beginning in the AMPLab at...
Source: www.analyticsinsight.net

Hyperledger Reviews

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

Social recommendations and mentions

Based on our record, Apache Spark seems to be a lot more popular than Hyperledger. While we know about 56 links to Apache Spark, 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.

Apache Spark mentions (56)

  • Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
    Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / 2 months ago
  • 🦿🛴Smarcity garbage reporting automation w/ ollama
    Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 3 months ago
  • Go concurrency simplified. Part 4: Post office as a data pipeline
    Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 5 months ago
  • Five Apache projects you probably didn't know about
    Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 5 months ago
  • Spark – A micro framework for creating web applications in Kotlin and Java
    A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 11 months ago
View more

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 2 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 3 years ago

What are some alternatives?

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

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

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

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

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

Hadoop - Open-source software for reliable, scalable, distributed computing

BlockCypher - AWS for Block Chains

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