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Lightbend Akka Platform VS Hadoop

Compare Lightbend Akka Platform VS Hadoop and see what are their differences

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Lightbend Akka Platform logo Lightbend Akka Platform

Lightbend Fast Data Platform is the easy on-ramp to successful streaming Fast Data applications.

Hadoop logo Hadoop

Open-source software for reliable, scalable, distributed computing
  • Lightbend Akka Platform Landing page
    Landing page //
    2023-06-18
  • Hadoop Landing page
    Landing page //
    2021-09-17

Lightbend Akka Platform videos

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Hadoop videos

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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 Lightbend Akka Platform and Hadoop)

Lightbend Akka Platform

Hadoop

Big Data
24 24%
Big Data
76% 76
Databases
19 19%
Databases
81% 81
Stream Processing
36 36%
Stream Processing
64% 64
Relational Databases
0 0%
Relational Databases
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 Lightbend Akka Platform and Hadoop

Lightbend Akka Platform Reviews

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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 Lightbend Akka Platform. While we know about 15 links to Hadoop, we've tracked only 1 mention of Lightbend Akka Platform. 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.

Lightbend Akka Platform mentions (1)

  • jLovely Lightbend
    Akka Platform includes Akka Cloud Platform for AWS and GCP (with Azure coming soon) and Akka Data Pipelines. Together, you get the full power of Akka reactive microservices frameworks and streaming Data pipelines to run on-premise or in the cloud. - Source: dev.to / almost 3 years ago

Hadoop mentions (15)

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What are some alternatives?

When comparing Lightbend Akka Platform and Hadoop, you can also consider the following products

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

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

Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.

Tigon - Tigon is an open source real-time stream processing framework built on top of Apache Hadoop and Apache HBase.

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

Apache Beam - Apache Beam provides an advanced unified programming model to implement batch and streaming data processing jobs.

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