How to load your data from Meltwater to MariaDB

Pipes allows you to automatically replicate your Meltwater data into MariaDB on your defined schedule.
Load all your data from Meltwater to MariaDB to instantly get access to your Meltwater data. This data will always be updated on your defined schedule.
Pipes allows you to automatically load your Meltwater 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. ​
1

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.
2

Connect to Meltwater

Just enter your credentials to allow Pipes access to the Meltwater API. Then Pipes is able to retrieve your data from Meltwater.
3

Create a data pipeline from Meltwater to MariaDB

Pipes lets you select the data from Meltwater you want to have in Amazon Redshift. This pipeline will run automatically on your defined schedule!

About Meltwater

Meltwater is a media intelligence platform and social listening tool for measuring and managing corporate reputation. It helps businesses to improve their decision making with insights from the outside.

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.