How to combine data from TimeCamp with MongoDB

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

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

Combine data from TimeCamp and MongoDB

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

About TimeCamp

TimeCamp is a web app to track the activities of computer users and is intended for either freelancers or teams. The tool is a time recording software for accounting the work of employees based on an hourly rate, measuring work effectiveness and project management.

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.