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IBM Analytics Engine VS Hadoop

Compare IBM Analytics Engine VS Hadoop and see what are their differences

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IBM Analytics Engine logo IBM Analytics Engine

Analytics Engine is a combined Apache Spark and Apache Hadoop service for creating analytics applications.

Hadoop logo Hadoop

Open-source software for reliable, scalable, distributed computing
  • IBM Analytics Engine Landing page
    Landing page //
    2023-07-11
  • Hadoop Landing page
    Landing page //
    2021-09-17

IBM Analytics Engine 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 IBM Analytics Engine and Hadoop)

IBM Analytics Engine

Hadoop

Data Dashboard
100 100%
Data Dashboard
0% 0
Databases
0 0%
Databases
100% 100
Big Data
17 17%
Big Data
83% 83
Data Warehousing
100 100%
Data Warehousing
0% 0

User comments

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Reviews

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

IBM Analytics Engine 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 more popular. It has been mentiond 15 times since March 2021. 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.

IBM Analytics Engine mentions (0)

We have not tracked any mentions of IBM Analytics Engine yet. Tracking of IBM Analytics Engine recommendations started around Mar 2021.

Hadoop mentions (15)

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What are some alternatives?

When comparing IBM Analytics Engine and Hadoop, you can also consider the following products

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

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

Snowflake - Snowflake is the only data platform built for the cloud for all your data & all your users. Learn more about our purpose-built SQL cloud data warehouse.

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

Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

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

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