How to combine data from Gnip with TENSQUARE

Pipes allows you to quickly Integrate Gnip with TENSQUARE data for a combined analysis.

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

Pipes allows you to connect to Gnip, TENSQUARE, 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 Gnip and TENSQUARE

You just need to enter the associated credentials to allow Pipes access to the Gnip API and the TENSQUARE API.

Combine data from Gnip and TENSQUARE

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

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About Gnip

Gnip provides social media API aggregation to collect data from different social media channels via a single API. The Gnip Data Collector that ways helps companies to simultaneously collect social data from multiple public APIs thus to simplify and save on their resources.

About TENSQUARE

TENSQUARE is a full-service provider for digital media. Together with their customers TENSQUARE develops media solutions and strategies on the Internet, for desktop and mobile devices. With competencies in UI design, software development, analytics and databases TENSQUARE delivers comprehensive consultancy.

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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