moonclerk + Tableau Integrations

Syncing moonclerk with Tableau is currently on our roadmap. Leave your email address and we’ll keep you up-to-date with new product releases and inform you when you can start syncing.

About moonclerk

MoonClerk lets anyone accept recurring payments and one-time payments quickly and easily without any coding.

About Tableau

Tableau is a data visualization tool that is used for data science and business intelligence. It can easily format raw data in different formats and visualization styles. With Tableau, you can create and publish dashboards and share them with colleagues, partners, or customers without any coding.

Tableau Integrations
Connect moonclerk + Tableau in easier way

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

  • New Payment

    Triggers when a payment has been made on MoonClerk.

  • New Recurring Plan

    Triggers when a payer checks out and creates a Recurring Plan in MoonClerk.

  • New Data Source

    Triggers when a new data source occurred.

  • New Project

    Triggers when a new project occurred.

  • Updated Data Source

    Triggers when an existing data source is updated

  • Update Data Source

    Updates an existing data source in tableau.

How moonclerk & Tableau Integrations Work

  1. Step 1: Choose moonclerk as a trigger app and authenticate it on Appy Pie Connect.

    (30 seconds)

  2. Step 2: Select "Trigger" from the Triggers List.

    (10 seconds)

  3. Step 3: Pick Tableau as an action app and authenticate.

    (30 seconds)

  4. Step 4: Select a resulting action from the Action List.

    (10 seconds)

  5. Step 5: Select the data you want to send from moonclerk to Tableau.

    (2 minutes)

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

Integration of moonclerk and Tableau

Moonclerk is a web based app that acts as middleware layer between the databases and the front-end application. It enables developers to access various relational databases from a single API. Moonclerk is written in Python, and it supports PostgreSQL, MySQL, RethinkDB, Redis, MongoDB, Cassandra, Elasticsearch, and SQLite. It also supports multiple programming languages like JavaScript, Ruby, Java, Python and PHP.

Tableau is a business intelligence software used for visualizing data for analysis purpose. It enables users to analyze data by using its visualization contrps easily. Tableau can be accessed on different platforms such as Windows, MacOS X, Linux, or Sparis operating systems.

In this section we will discuss how moonclerk and Tableau are connected with each other. We will discuss the integration of moonclerk APIs with Tableau’s APIs. We will also mention about the new features provided by moonclerk and Tableau integration.

Moonclerk and Tableau Integration:

Moonclerk and Tableau both provides an integration of their APIs together is called as moonclerk and Tableau integration. This integration is very helpful for developers who want to use moonclerk database connectors with the Tableau visualization software. Manger of Public Safety at Harvard University, Rob Malinowski says that “moonclerk and Tableau integration will be very useful for our ppice department in analyzing crime statistics”. The Harvard ppice department can store their data in moonclerk database and they can visualize them using Tableau dashboard. Moonclerk and Tableau integration is very easy to use and it requires no coding skill. Anybody can develop a dashboard using moonclerk and Tableau integration without any knowledge of programming language.

New features in moonclerk and Tableau integration:

Moonclerk has recently released its new version 0.2. Moonclerk 0.2 comes with several new features including support for high-level functions, better error handling and faster connectivity to the database. Moonclerk 0.2 is also compatible with Python 2.7 and higher versions. Other new features include new API management commands for server administrators and ability to query multiple tables simultaneously using the JOIN command in the SELECT statement. Moonclerk 0.2 also includes fplowing new features:

Support for high level functions. Developers can use high level functions such as SUM, COUNT, AVG, MIN, MAX etc within the SQL statements in moonclerk 0.2 which makes their work easier as they do not have to write custom scripts to perform the same task. This feature has been added to enhance the productivity of data scientists who have limited programming skills.

Improved error handling. Moonclerk 0.2 automatically creates an exception handler which determines whether an error has occurred or not and then raises an exception if there is an error otherwise it returns the data flowing through the pipeline which reduces the amount of code required to provide error handling in moonclerk 0.2 version.

Faster connection to the database. Moonclerk 0.2 has been improved to connect more quickly to the database which enhances the speed of cloud applications which rely on moonclerk 0.2 version to connect to the database.

Compatible with Python 2.7 or higher versions. Moonclerk 0.2 supports all versions of Python 2.7 or higher versions so that it can be used in different operating systems like Windows, MacOS X and Linux which makes it compatible with most of the cloud environments that use Python as their primary programming language.

New API management commands for server administrators. Server administrators can now manage moonclerk APIs remotely using remote commands just like local commands which means that they no longer need to install python dependencies on each host machine which results in faster deployment of services using moonclerk 0.2 version on the remote servers.

Support for JOIN statement in SELECT queries. In moonclerk 0.2 developers can use JOIN statement to query multiple tables simultaneously which reduces complexity in development environment and improves productivity of developers who don’t have programming skills. Additionally, developers now don’t have to write custom scripts to perform JOIN queries within their database applications because it is already available within moonclerk 0.2 version which saves time and effort of developers when they develop their applications using this feature of lunarlark 0.2 version.

The process to integrate moonclerk and Tableau 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.