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PostgreSQL + MySQL Integrations

Appy Pie Connect allows you to automate multiple workflows between PostgreSQL and MySQL

About PostgreSQL

PostgreSQL is a leading object-relational database management system that uses and extends the SQL language combined with many features that safely store and scale the most complicated data workloads.

About MySQL

MySQL is currently the most popular database management system software used for managing the relational database.

MySQL Integrations
MySQL Alternatives

Connect the apps you use everyday and find your productivity super-powers.

  • PostgreSQL PostgreSQL

Best PostgreSQL and MySQL Integrations

  • PostgreSQL Google Sheets

    PostgreSQL + Google Sheets

    Create rows in Google Sheets for new PostgreSQL custom query matches. Read More...
    When this happens...
    PostgreSQL New Row (Custom Query)
     
    Then do this...
    Google Sheets Create Spreadsheet Row
    Do you need a solution to give co-workers consistent access to PostgreSQL rows that meet a custom query? Use this Connect Flow instead of continually looking for and copying them. Define your query during setup, and any new row found in PostgreSQL that matches it will immediately prompt the addition of a new row in Google Sheets with all that data, relentlessly keeping track of all those exact items so you never have to look for them again.
    How This PostgreSQL-Google Sheets Works
    • A new row is returned from a custom query
    • Appy Pie Connect creates a new row in a specific spreadsheet.
    What You Need
    • PostgreSQL account
    • Google Sheets account
  • PostgreSQL Asana

    PostgreSQL + Asana

    Create Asana tasks for new PostgreSQL custom query matches Read More...
    When this happens...
    PostgreSQL New Row (Custom Query)
     
    Then do this...
    Asana Create Task
    When you need to find those exact PostgreSQL entries you need to act on, you need a better option to manual searches. Set up this Connect Flow to handle things for you. When you enable it, a new task will be automatically added to Asana whenever a new row matching the custom PostgreSQL query you define is found. You can rely on Appy Pie Connect from then on to keep your actionable items up to date and accessible.
    How This PostgreSQL- Asana Works
    • A new row is returned from a custom query
    • Appy Pie Connect creates a new task in Asana.
    What You Need
    • PostgreSQL account
    • Asana account
  • PostgreSQL Slack

    PostgreSQL + Slack

    Receive Slack notifications for new custom query matches on PostgreSQL Read More...
    When this happens...
    PostgreSQL New Row (Custom Query)
     
    Then do this...
    Slack Send Channel Message
    Searching your database with the same query again and over can rapidly get tedious, especially if you have to keep your team informed. However, if you set up this connect flow, both of those problems will be immediately addressed. After it's turned on, any new row found on PostgreSQL that matches your custom query will instantly trigger a message to your preferred Slack channel, containing all the information you need to remain on top of new items without missing a beat.
    How This PostgreSQL- Slack Works
    • A new row is returned from a custom query
    • Appy Pie Connect posts a new message to a specific channel you choose.
    What You Need
    • PostgreSQL account
    • Slack account
  • PostgreSQL Google Sheets

    MySQL + Google Sheets

    Create rows on a Google Sheets spreadsheet for new MySQL rows Read More...
    When this happens...
    PostgreSQL New Row
     
    Then do this...
    Google Sheets Create Spreadsheet Row

    This integration from Appy Pie Connect eases your data transfer process between Google Sheets and MySQL. After you set up this MySQL - Google Sheets integration, whenever a new row is added to your MySQL table, we’ll copy it directly into a selected Google Sheets spreadsheet. Our automation platform enables you to connect Google Sheets and MySQL account within minutes, all without writing a single line of code.

    Note: This automation will not create rows on Google Sheets for existing MySQL rows , only new ones after you've set it up.

    How It Works
    • A new row is created on MySQL
    • Appy Pie Connect automatically copies it to a selected Google Sheets
    What You Need
    • A MySQL account
    • A Google account
  • PostgreSQL MailChimp

    MySQL + MailChimp

    Create Mailchimp subscriber for new MySQL rows Read More...
    When this happens...
    PostgreSQL New Row
     
    Then do this...
    MailChimp Add/Update Subscriber
    Are you tired of switching back and forth between Mailchimp and MySQL? Do you wish you didn't have to enter the same information twice? Take a look at this integration. Set it up so that every time a new row is added to your MySQL table, a new subscriber is added to Mailchimp. With this integration, you can say goodbye to data entry errors and save time.
    How This MySQL-Mailchimp Integration Works
    • A new row is added to column in MySQL
    • Appy Pie Connect adds a new subscriber to Mailchimp.
    What You Require
    • MySQL account
    • Mailchimp account
  • PostgreSQL MailChimp

    {{item.triggerAppName}} + {{item.actionAppName}}

    {{item.message}} Read More...
    When this happens...
    PostgreSQL {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppImage}} {{item.actionTitle}}
Connect PostgreSQL + MySQL in easier way

It's easy to connect PostgreSQL + MySQL without coding knowledge. Start creating your own business flow.

    Triggers
  • New Column

    Triggered when you add a new column.

  • New Row

    Triggered when you add a new row.

  • New Row (Custom Query)

    Triggered when new rows are returned from a custom query that you provide. Advanced Users Only

  • New Row

    Triggered when you add a new row.

  • New Row (Custom Query)

    Triggered when new rows are returned from a custom query that you provide. Advanced Users Only

  • New Table

    Triggered when you add a new table.

    Actions
  • Create Row

    Adds a new row.

  • Update Row

    Updates an existing row.

  • Create Row

    Adds a new row.

  • Delete Row

    Delete a row.

  • Update Row

    Updates an existing row.

How PostgreSQL & MySQL Integrations Work

  1. Step 1: Choose PostgreSQL as a trigger app and Select "Trigger" from the Triggers List.

    (30 seconds)

  2. Step 2: Authenticate PostgreSQL with Appy Pie Connect.

    (10 seconds)

  3. Step 3: Select MySQL as an action app.

    (30 seconds)

  4. Step 4: Pick desired action for the selected trigger.

    (10 seconds)

  5. Step 5: Authenticate MySQL with Appy Pie Connect.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of PostgreSQL and MySQL

PostgreSQL?

PostgreSQL is an object-relational database management system. Object-relational means that PostgreSQL is a database system that supports relational database features across different data types. PostgreSQL is the most advanced open source database available on the market and it has won many awards for its reliability, stability, and performance. It provides functions and services that can be found in commercial databases and it can be used to develop web applications.

PostgreSQL is also considered to be a community driven project since it has no single owner or vendor. This means that there is no community manager or a few people who decide what will be added into the next version of PostgreSQL. Instead, there are many people who contribute to each new version.

MySQL?

MySQL is an open source relational database management system. It provides developers with a powerful, robust SQL server and a reliable, scalable, and portable database engine. The main feature of MySQL is its high compatibility with ANSI SQL and the support of advanced SQL queries such as subqueries and views. It offers improved reliability, flexibility, and availability. The software is compatible with most operating systems including Windows, Linux, Unix, Mac OS X and some other Unix-like systems. What makes MySQL popular is its easy installation and use as well as its quick start-up time. Its cost is also very affordable making it a good choice for small businesses and home users.

Integration of PostgreSQL and MySQL

Integration of PostgreSQL and MySQL is now possible thanks to the efforts of Robert Haas, Sveta Smirnova-Olsen, Andrew Dunstan (the original author), and Michael Paquier who created this project. The idea behind this project was to bring together PostgreSQL and MySQL so they can share their code while using a common infrastructure. This is to ensure that users will enjoy the same level of functionality regardless of which database they chose to use.

The main goal of this project is to combine the best features from both databases in order to provide developers with more choices to meet their needs. Thus, PostgreSQL will no longer be limited by being object-oriented or relational. This will make it possible for both PostgreSQL and MySQL to be able to handle complex applications with ease. In addition, it will enable developers to use features from one database when working with another database without having to rewrite their code. For instance, a developer can use PostgreSQL’s index on a field that is present in MySQL too. The code they write will still work regardless if the database they are using is PostgreSQL or MySQL. This also applies to other features of both databases such as encryption or replication. By integrating these features, users will benefit from increased security as well as scalability of their applications. This will help them save time and money while keeping their data safe at the same time.

This project is also meant to keep both databases independent so that each can make decisions regarding their own future development. This way they will not have to worry about any interference from other projects or companies in order to improve features or offer new products. Nothing will prevent either project from adding functionality or improving usability especially in the areas they know best.

Another advantage offered by this integration project is the sharing of knowledge between both projects’ developers. As mentioned earlier, there are many developers who contribute to each new version of PostgreSQL and MySQL so this cplaboration will mean having more people who can learn more about different things related to open source databases such as performance, security, scalability, etc. They can then use this knowledge for the benefit of all users whether they are using PostgreSQL or MySQL.

Benefits of Integration of PostgreSQL and MySQL

Aside from improving existing features and providing new features from both databases, this integration project offers many benefits for users as well as companies that want to implement open source databases in their organization:

Improved Performance – Users will benefit from improved performance since both databases are based on common libraries like libpq so they will share common algorithms. This means that users will not need to rewrite their code to get the performance they need from either database. Thus, they will have more choices when deciding for the best spution for their specific needs. Increased Security – Users will also benefit from increased security since they can choose between two databases that have different kinds of encryption such as SSLv2/3 TLSv1/SSLv3 for Postgresql or SSLv2/3 TLSv1/SSLv3 for MySQL. Increased Reliability – Users will also benefit from increased reliability since both Postgresql and MySQL have different reliability features such as checkpointing in Postgresql which guarantees that all changes made by transactions are permanently recorded on disk before further changes are made. Increased Scalability – Users will also benefit from increased scalability since they can use either database depending on their requirements ranging from standalone servers to large clusters with multiple nodes running on different platforms (Unix, Linux, Mac OS X. with different CPUs (x86, x64. Thus, companies will not need to invest in expensive hardware but they can choose proprietary sputions instead if they think it is necessary for their business operations. Reduced TCO(Total Cost of Ownership. – Since users can choose between two databases depending on their needs, they do not have to pay extra fees for extra features that they do not need which usually happen when companies choose proprietary sputions over open source tops. Reduced Maintenance Costs – With the integration of both databases, users save time and money since they no longer need to maintain separate systems that run on different platforms and often require separate skillsets among administrators and developers in order to handle system administration issues or application development issues respectively. They can just concentrate on maintaining one database system instead of two different ones with different configurations and settings depending on the environment where each system runs. Reduced Staffing Requirements – With the integration of both databases, users can reduce staffing requirements since they only need one team of employees handling all aspects of open source database implementation ranging from development to day-to-day operations that include maintenance, security patching, etc.. Reduced Training Costs – With the integration of both databases, users can reduce training costs since only one training curriculum needs to be implemented instead of two which would have been required if users were using two different proprietary database systems instead of one open source database system integrated with another open source database system. This would have been necessary if users wanted to save on training expenses by having their employees trained in one proprietary database system but utilize another proprietary database system for their business operations. Reduced Wiring Costs – With the integration of both databases, users can reduce wiring costs since they only need one connection instead of two that would have been necessary if users were using two different proprietary database systems instead of one open source database system integrated with another open source database system. This would have been necessary if users wanted to save on wiring expenses by having their employees connected in one proprietary database system but utilize another proprietary database system for their business operations. Reduced Energy Costs – With the integration of both databases, users can reduce energy costs since they only need one power supply instead of two that would have been necessary if users were using two different proprietary database systems instead of one open source database system integrated with another open source database system. This would have been necessary if users wanted to save on energy expenses by having their employees connected in one proprietary database system but utilize another proprietary database system for their business operations. Reduced Space Costs – With the integration of both databases, users can reduce space costs since they only need one computer room instead of two that would have been necessary if users were using two different proprietary database systems instead of one open source database system integrated with another open source database system. This would have been necessary if users wanted to save on space expenses by having their employees working in one proprietary database system but utilize another proprietary database system for their business operations. Reduced Greenhouse Gas Emissions – With the integration of both databases, users can reduce greenhouse gas emissions since they only need one computer room instead of two that would have been necessary if users were using two different proprietary database systems instead of one open source database system integrated with another open source database system. This would have been necessary if users wanted to save on greenhouse gas emissions by having their employees working in one proprietary database system but utilize another proprietary database system for their business operations. Increased Data Confidentiality – Users will also benefit from increased data confidentiality since each company can create its own set of ppicies regarding encryption since Microsoft SQL Server System CLR Integration Encryption supports key management while Oracle Advanced Security Encryption transparently encrypts data at rest at no additional cost while Postgresql uses Secure Password Hashing Security (SPHINCS. SPHINCS is used after reading password data from pg_shadow table in order to generate random salt values

The process to integrate PostgreSQL and MySQL may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.