How to combine data from Shipwise with MongoDB

Pipes allows you to quickly Integrate Shipwise with MongoDB data for a combined analysis.

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

Pipes allows you to connect to Shipwise, MongoDB, 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 Shipwise and MongoDB

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

Combine data from Shipwise and MongoDB

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

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About Shipwise

Shipwise is a freight shipments booking platform that streamlines the process and eliminates the numerous emails and phone calls, automating the reservations process by providing direct access to capacity and transparent billing.

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.

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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