How to load your data from Apache Kafka to Snowflake

Pipes allows you to automatically replicate your Apache Kafka data into Snowflake on your defined schedule.
Load all your data from Apache Kafka to Snowflake to instantly get access to your Apache Kafka data. This data will always be updated on your defined schedule.
Pipes allows you to automatically load your Apache Kafka data into Snowflake. With ready-to-use connectors and pre-built data schemas for more than 200 APIs and web services you build data pipelines in minutes and without any coding. ​
1

Connect to Snowflake

This will be the destination of all data pipelines you build. Besides Snowflake, Pipes supports the most used relational databases in the cloud and on-premises.
2

Connect to Apache Kafka

Just enter your credentials to allow Pipes access to the Apache Kafka API. Then Pipes is able to retrieve your data from Apache Kafka.
3

Create a data pipeline from Apache Kafka to Snowflake

Pipes lets you select the data from Apache Kafka you want to have in Snowflake. This pipeline will run automatically on your defined schedule!

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.

About Snowflake

Snowflake is a high performing cloud data warehouse. It can either be used to store your data in it or / and to use it as a data source.

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.