How to combine data from Greenhouse with IBM Informix

Pipes allows you to quickly Integrate Greenhouse with IBM Informix data for a combined analysis.

Load data from Greenhouse and IBM Informix into your central data warehouse to analyze it with the business intelligence tool of your choice.

Pipes allows you to connect to Greenhouse, IBM Informix, 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 Greenhouse and IBM Informix

You just need to enter the associated credentials to allow Pipes access to the Greenhouse API and the IBM Informix API.

Combine data from Greenhouse and IBM Informix

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

See Pipes Product Tour

About Greenhouse

Greenhouse, a leading hiring software, transforms recruitment with tools for sourcing, tracking, and evaluating candidates. From job posting to interview scheduling, Greenhouse offers a comprehensive platform that fosters collaboration among hiring teams while providing valuable insights to make informed decisions. To fully leverage the power of Greenhouse, you can use Data Virtuality’s Greenhouse API connector for seamless integration of all your Greenhouse data. Our Greenhouse API connector offers access to candidate data, interview progress, and metrics, enhancing decision-making and strategic adjustments. Integrating the Greenhouse API streamlines workflows, optimizes strategies, and elevates talent acquisition.

About IBM Informix

IBM Informix is a product family within IBM’s Information Management division that is centered on several relational database management system (RDBMS) offerings. The Informix server supports the object-relational model, which has permitted IBM to offer extensions that support data types that are not a part of the SQL standard. The most widely used of these are the time series and spatial extensions, which provide both data type support and language extensions that allow high performance domain specific queries and efficient storage for datasets based on time series and spatial data.

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.

Leipzig

Katharinenstrasse 15 | 04109 | Germany

Munich

Trimburgstraße 2 | 81249 | Germany

San Francisco

2261 Market Street #4788 | CA 94114 |
San Francisco | USA

Our mission is to enable businesses to leverage the full potential of their data by providing a single source of truth platform to connect and manage all data.

Use Cases

Overview

By Industry

By Connector

Learn

Customer Case Study