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    <title>Forem: piyush kriplani</title>
    <description>The latest articles on Forem by piyush kriplani (@gmkriplani).</description>
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      <title>MySQL vs. PostgreSQL vs. Redis</title>
      <dc:creator>piyush kriplani</dc:creator>
      <pubDate>Fri, 29 May 2020 14:19:12 +0000</pubDate>
      <link>https://forem.com/gmkriplani/mysql-vs-postgresql-vs-redis-o2g</link>
      <guid>https://forem.com/gmkriplani/mysql-vs-postgresql-vs-redis-o2g</guid>
      <description>&lt;p&gt;MySQL vs. PostgreSQL vs. Redis&lt;br&gt;
MySQL is a popular open source relational database management database, that is based on SQL (structured query language).&lt;/p&gt;

&lt;p&gt;PostgreSQL is an advanced open source relational database management database that too uses the SQL but also uses the advanced features that makes it more powerful.&lt;/p&gt;

&lt;p&gt;So What makes it advanced and what are the radical difference in between PostgreSQL and MySQL?&lt;/p&gt;

&lt;p&gt;ACID Compliance&lt;br&gt;
ACID (Atomicity, Consistency, Isolation, and Durability) in the database is very imperial to its existence. What it means is that " no data is lost or miscommunication".&lt;/p&gt;

&lt;p&gt;PostgreSQL is fully ACID complaint whereas MySQL is partially ACID complaint with only certain engines.&lt;br&gt;
SQL Compliance&lt;/p&gt;

&lt;p&gt;SQL compliance is necessary so that database can be transferred from one database to another. For example. Oracle to PostgreSQL/MySQL or vice versa.&lt;/p&gt;

&lt;p&gt;PostgreSQL is largely SQL compliant whereas MySQL is partially complaint like CHECK constraint is not supported in MySQL.&lt;br&gt;
Performance&lt;br&gt;
PostgreSQL is used in large systems where read and write speeds are crucial.&lt;br&gt;
For example: Geospatial data support, Data Warehousing and data analysis applications that require fast read/write speeds.&lt;/p&gt;

&lt;p&gt;MySQL is a chosen for web based projects that need a database simply for straightforward data transactions&lt;/p&gt;

&lt;p&gt;REDIS:&lt;br&gt;
REDIS is acronym for “Remote + Dictionary+ Server”.&lt;br&gt;
• Store data in key value pairs.&lt;br&gt;
• It is an open source and NO-SQL database.&lt;br&gt;
• use data-structures to store data like set, list, string etc.&lt;br&gt;
• Interaction with data is through the command basis.&lt;br&gt;
• It is an in-memory database it means it keeps the data in cache. Therefore it is super-fast. Although it has option to write in disk.&lt;br&gt;
• Can be used as a second database to make query faster.&lt;br&gt;
• can be used as a caching system or full-fledged database.&lt;/p&gt;

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      <category>mysql</category>
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