# Openflow vs. dlt for Snowflake users

DevFeed: [Openflow vs. dlt for Snowflake users](<https://devfeed.tech/articles/openflow-vs-dlt-for-snowflake-users-80366.md>)

Original publisher: [Read original article](<https://dlthub.com/blog/openflow>)

Author: Adrian Brudaru

Published: 2025-10-20T00:00:00Z

Content type: comparison

Language: en

Sources: [DLT Hub](<https://devfeed.tech/sources/dlt-hub.md>)

Topics: [Snowflake streaming data architecture](<https://devfeed.tech/topics/snowflake-streaming-data-architecture.md>), [Data pipelines](<https://devfeed.tech/topics/data-pipelines.md>), [internal developer platform automation](<https://devfeed.tech/topics/internal-developer-platform-automation.md>)

Tags: [ai-coding-assistants](<https://devfeed.tech/tags/ai-coding-assistants.md>), [coding](<https://devfeed.tech/tags/coding.md>), [data-infrastructure](<https://devfeed.tech/tags/data-infrastructure.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [industry](<https://devfeed.tech/tags/industry.md>), [snowflake](<https://devfeed.tech/tags/snowflake.md>)

## AI overview

The article compares Snowflake Openflow, a GUI-based ingestion tool built on Apache NiFi, with dlt, an open-source Python library for data pipelines. It describes Openflow as suited to supported sources and teams with DevOps resources, while dlt offers code-based customization, Git version control, testing, and AI-assisted connector development. The comparison argues that the tools serve different team workflows and priorities.

## Source excerpt

Openflow and dltHub represent two distinct but valuable visions for the future of data ingestion.