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Microsoft SQL VS MapR Converged Data Platform

Compare Microsoft SQL VS MapR Converged Data Platform and see what are their differences

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  4. » Alternatives

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.

MapR Converged Data Platform logo MapR Converged Data Platform

An enterprise-grade distributed data platform that you can trust to reliably store and process big and fast data.
  • Microsoft SQL Landing page
    Landing page //
    2023-01-26
  • MapR Converged Data Platform Landing page
    Landing page //
    2022-10-08

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]

MapR Converged Data Platform videos

+ Add

Lab Video Summary - MapR Converged Data Platform with MapR Streams

Category Popularity

0-100% (relative to Microsoft SQL and MapR Converged Data Platform)

Microsoft SQL

MapR Converged Data Platform

Databases
100 100%
Databases
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Relational Databases
100 100%
Relational Databases
0% 0
Development
0 0%
Development
100% 100

User comments

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What are some alternatives?

When comparing Microsoft SQL and MapR Converged Data Platform, you can also consider the following products

MySQL - The world's most popular open source database

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

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

Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost

SQLite - SQLite Home Page

SingleStore - SingleStore DB is a high-performance SQL compliant relational database management tool that offers data processing, ingesting, and transaction processing.

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