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MariaDB VS Google Cloud Dataproc

Compare MariaDB VS Google Cloud Dataproc and see what are their differences

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MariaDB logo MariaDB

An enhanced, drop-in replacement for MySQL

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • MariaDB Landing page
    Landing page //
    2023-04-18
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

MariaDB videos

+ Add

MySQL/MariaDB Basics (RHCE Study)

More videos:

  • Review - MariaDB Storage Engines
  • Tutorial - #MariaDB Server 10.2: The Complete Guide - #Database Tutorial

Google Cloud Dataproc videos

+ Add

Dataproc

Category Popularity

0-100% (relative to MariaDB and Google Cloud Dataproc)

MariaDB

Google Cloud Dataproc

Databases
100 100%
Databases
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
NoSQL Databases
100 100%
NoSQL Databases
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using MariaDB and Google Cloud Dataproc. 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 MariaDB and Google Cloud Dataproc

MariaDB Reviews

MariaDB Vs MySQL In 2019: Compatibility, Performance, And Syntax
Even the command line tools are similar to mysqldump and mysqladmin still having the original names, allowing MariaDB to be a drop-in replacement.To make sure MariaDB maintains drop-in compatibility, the MariaDB developers do a monthly merge of the MariaDB code with the MySQL code. Even with this, there are some differences between MariaDB and MySQL that could cause some...
Source: blog.panoply.io

Google Cloud Dataproc Reviews

We have no reviews of Google Cloud Dataproc yet.
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Social recommendations and mentions

Based on our record, MariaDB seems to be a lot more popular than Google Cloud Dataproc. While we know about 33 links to MariaDB, we've tracked only 3 mentions of Google Cloud Dataproc. 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.

MariaDB mentions (33)

  • MariaDB 10.9 on OpenBSD 7.3: Install
    WARNING: The host '(...)' could not be looked up with /usr/local/bin/resolveip. This probably means that your libc libraries are not 100 % compatible With this binary MariaDB version. The MariaDB daemon, mysqld, should work Normally with the exception that host name resolving will not work. This means that you should use IP addresses instead of hostnames When specifying MariaDB privileges ! Installing... - Source: dev.to / 8 months ago
  • Unable to start with "pam_use_cleartext_plugin" enabled
    i'm running MariaDB 10.6 from mariadb.org Repos in Debian 11. For authentication I'm using PAM and Active Directory. Source: 11 months ago
  • MariaDB installation error with Docker Compose
    1-db-1 | The latest information about MariaDB is available at https://mariadb.org/. Source: 12 months ago
  • How to install MariaDB 10.10.3 on Rocky 9.1
    Cat /etc/redhat-release Rocky Linux release 9.1 (Blue Onyx) Yum info mariadb-server Last metadata expiration check: 1:42:14 ago on Sun 09 Apr 2023 03:56:00 PM IST. Installed Packages Name : mariadb-server Epoch : 3 Version : 10.5.16 Release : 2.el9_0 Architecture : x86_64 Size : 62 M Source : mariadb-10.5.16-2.el9_0.src.rpm Repository : @System From repo :... Source: about 1 year ago
  • Running MS SQL or SQL Express on DS723+
    If it will take MySQL or MariaDB as a backend then its a lot simpler (and cheaper) as standard Docker containers for these are available and other folk use these on Synology kit way more. Source: about 1 year ago
View more

Google Cloud Dataproc mentions (3)

  • Connecting IPython notebook to spark master running in different machines
    I have also a spark cluster created with google cloud dataproc. Source: about 1 year ago
  • Why we don’t use Spark
    Specifically, we heavily rely on managed services from our cloud provider, Google Cloud Platform (GCP), for hosting our data in managed databases like BigTable and Spanner. For data transformations, we initially heavily relied on DataProc - a managed service from Google to manage a Spark cluster. - Source: dev.to / about 2 years ago
  • Data processing issue
    With that, the best way to maximize processing and minimize time is to use Dataflow or Dataproc depending on your needs. These systems are highly parallel and clustered, which allows for much larger processing pipelines that execute quickly. Source: over 2 years ago

What are some alternatives?

When comparing MariaDB and Google Cloud Dataproc, you can also consider the following products

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

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

MySQL - The world's most popular open source database

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

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.

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

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