How to load your data from Twitter Ads to MariaDB

Pipes allows you to automatically replicate your Twitter Ads data into MariaDB on your defined schedule.
Load all your data from Twitter Ads to MariaDB to instantly get access to your Twitter Ads data. This data will always be updated on your defined schedule.
Pipes allows you to automatically load your Twitter Ads data into MariaDB. With ready-to-use connectors and pre-built data schemas for more than 200 APIs and web services you build data pipelines in minutes and without any coding. ​

Connect to MariaDB

This will be the destination of all data pipelines you build. Besides MariaDB, Pipes supports the most used relational databases in the cloud and on-premises.

Connect to Twitter Ads

Just enter your credentials to allow Pipes access to the Twitter Ads API. Then Pipes is able to retrieve your data from Twitter Ads.

Create a data pipeline from Twitter Ads to MariaDB

Pipes lets you select the data from Twitter Ads you want to have in MariaDB. This pipeline will run automatically on your defined schedule!

About Twitter Ads

Twitter Ads is Twitter’s advertising platform for brands to promote its products and reach new users. Twitter offers many simple Twitter ad formats and there is no minimum advertising budget required.

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.