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Hadoop VS Microsoft SQL

Compare Hadoop VS Microsoft SQL and see what are their differences

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  2. » Videos
  3. » Reviews
  4. » Alternatives

Hadoop logo Hadoop

Open-source software for reliable, scalable, distributed computing

Microsoft SQL logo Microsoft SQL

Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.
  • Hadoop Landing page
    Landing page //
    2021-09-17
  • Microsoft SQL Landing page
    Landing page //
    2023-01-26

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

Microsoft SQL videos

+ Add

3.1 Microsoft SQL Server Review

More videos:

  • Review - What is Microsoft SQL Server?
  • Review - Querying Microsoft SQL Server (T-SQL) | Udemy Instructor, Phillip Burton [bestseller]

Category Popularity

0-100% (relative to Hadoop and Microsoft SQL)

Hadoop

Microsoft SQL

Databases
15 15%
Databases
85% 85
Big Data
100 100%
Big Data
0% 0
Relational Databases
6 6%
Relational Databases
94% 94
Tool
0 0%
Tool
100% 100

User comments

Share your experience with using Hadoop and Microsoft SQL. 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 Hadoop and Microsoft SQL

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

Microsoft SQL Reviews

We have no reviews of Microsoft SQL yet.
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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.

Hadoop mentions (15)

View more

Microsoft SQL mentions (0)

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

What are some alternatives?

When comparing Hadoop and Microsoft SQL, 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.

MySQL - The world's most popular open source database

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

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

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

SQLite - SQLite Home Page

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