How to combine data from Hortonworks with MariaDB

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

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

Pipes allows you to connect to Hortonworks, 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 Hortonworks and MariaDB

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

Combine data from Hortonworks and MariaDB

Pipes lets you select the data from Hortonworks 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 Hortonworks

Hortonworks focuses on the development of Apache Hadoop and related Apache projects. The connected data suite solutions offered by Hortonworks deliver end to end capabilities for data-in-motion and data-at-rest.

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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