How to combine data from BL.INK with Apache Kafka

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

You just need to enter the associated credentials to allow Pipes access to the BL.INK API and the Apache Kafka API.
3

Combine data from BL.INK and Apache Kafka

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

About BL.INK

BL.INK is a short link management platform that enables businesses to make smarter use of their links by creating custom-branded short links using actual words, in order to manage their brand identity.

About Apache Kafka

Apache Kafka is a framework implementation of a software bus using stream-processing. It is an open-source software platform developed by the Apache Software Foundation written in Scala and Java. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.

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.