How to combine data from Twitter with MariaDB

Pipes allows you to quickly Integrate Twitter with MariaDB data for a combined analysis.

Load data from Twitter and MariaDB into your central data warehouse to analyze it with the business intelligence tool of your choice.

Pipes allows you to connect to Twitter, MariaDB, and more than 200 other APIs, web services, and databases with ready-to-use data connectors. Automate your data workflows through data pipelines without a single line of code.

Connect your data warehouse

It will be the destination of all data pipelines you build. Pipes supports relational databases in the cloud and on-premises.

Connect to Twitter and MariaDB

You just need to enter the associated credentials to allow Pipes access to the Twitter API and the MariaDB API.

Combine data from Twitter and MariaDB

Pipes lets you select the data from Twitter and MariaDB that you want to load to your data warehouse. These data pipelines will run automatically on your defined schedule!

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About Twitter

Twitter is an online social networking and news service that enables users to read and send short 140-character messages called “tweets”. Registered users can both post and read tweets while unregistered users have read access only. Twitter allows user access through the website interface, SMS and with the mobile app.

About MariaDB

MariaDB is a popular open-source database solution for cloud, SaaS, and on-premise applications made by the original developers of MySQL. While it is a cummunity-developed relational database management system MariaDB is guaranteed to stay open-source.

Your benefits with Pipes

Get central access to all your data

Access data from 200+ data sources with our ready-to-use connectors and replicate it to your central data warehouse.

Automate your data workflows

Stop manually extracting data and automate your data integration without any coding. We maintain all pipelines for you and cover all API changes!

Enable data-driven decision-making

Empower everyone in your company with consistent and standardized data, automate data delivery and measure KPIs across different systems.

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