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Denodo VS Hadoop

Compare Denodo VS Hadoop and see what are their differences

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Denodo logo Denodo

Denodo delivers on-demand real-time data access to many sources as integrated data services with high performance using intelligent real-time query optimization, caching, in-memory and hybrid strategies.

Hadoop logo Hadoop

Open-source software for reliable, scalable, distributed computing
  • Denodo Landing page
    Landing page //
    2023-09-21
  • Hadoop Landing page
    Landing page //
    2021-09-17

Denodo videos

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2018 09 07 11 06 Denodo Demo

More videos:

  • Review - Denodo Platform Enhancements - 7.0 August 2020 Update
  • Review - Denodo Platform Enhancements - 7.0 Update 20200310

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 Denodo and Hadoop)

Denodo

Hadoop

Data Dashboard
100 100%
Data Dashboard
0% 0
Databases
0 0%
Databases
100% 100
Data Integration
100 100%
Data Integration
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using Denodo and Hadoop. For example, how are they different and which one is better?
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Reviews

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

Denodo Reviews

The 28 Best Data Integration Tools and Software for 2020
Description: The Denodo Platform offers data virtualization for joining multistructured data sources from database management systems, documents, and a wide variety of other big data, cloud, and enterprise sources. Connectivity support includes relational databases, legacy data, flat files, CML, packed applications, and emerging data types including Hadoop. Denodo is the...
Source: solutionsreview.com

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.

Denodo mentions (0)

We have not tracked any mentions of Denodo yet. Tracking of Denodo recommendations started around Mar 2021.

Hadoop mentions (15)

View more

What are some alternatives?

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

IBM Cloud Pak for Data - Move to cloud faster with IBM Cloud Paks running on Red Hat OpenShift – fully integrated, open, containerized and secure solutions certified by IBM.

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

data.world - The social network for data people

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

Teradata QueryGrid - Data Fabric

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

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