How to combine data from MongoDB with Taboola

Pipes allows you to quickly Integrate MongoDB with Taboola data for a combined analysis.
Load data from MongoDB and Taboola into your central data warehouse to analyze it with the business intelligence tool of your choice.
Pipes allows you to connect to MongoDB, Taboola, 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.
1

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.
2

Connect to MongoDB and Taboola

You just need to enter the associated credentials to allow Pipes access to the MongoDB API and the Taboola API.
3

Combine data from MongoDB and Taboola

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

About MongoDB

MongoDB is an open-source document-oriented cross-platform database program that uses JSON-like documents with schemas and is classified as a NoSQL database. The main features of MongoDB among others cover file storage, load balancing, indexing, ad-hoc queries.

About Taboola

Taboola develops and markets a service for online content publishers and advertisers that recommends digital content to website users. Publishers, marketers, and agencies use Taboola to retain users on their sites, monetize their traffic, and distribute their content trying to drive high-quality audiences.

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.