dltHubSnowflake
1,000+ companies already load production data into Snowflake with dlt. Agents now build 91% of those pipelines. With dltHub Pro, a single developer can go from writing pipeline code to delivering reports for the business end user in 10 minutes. dlt is also a natural complement to Openflow.
Combined with Snowflake's performance and governance, organizations can integrate data from any source, ensure quality and compliance, and stay agile and future-proof.
dlt consolidates data from REST APIs, SQL databases, files, and cloud storages into Snowflake. It runs where Python runs (your cloud, VPC, or data center) with no vendor lock-in and no black-box connectors. 9,700+ REST API sources, 30+ SQL databases including PostgreSQL, MySQL, MSSQL, Oracle, SQLite and BigQuery, plus S3, GCS and Azure Blob.
Snowflake Cortex Code makes your Snowflake data productive. dltHub Pro gets it there, from any source, reliably, at scale. Two agents, two layers, one workflow.
dltHub Pro handles ingestion, validation, and deployment. Cortex Code handles the intelligence on top. Neither replaces the other. Combined, they cover the full lifecycle from raw source to working AI application without leaving Snowflake.
Replicate MSSQL, MySQL, PostgreSQL into Snowflake via our Native App on the Snowflake Marketplace
The fastest enterprise path to production replication, procured via Snowflake credits and running entirely inside your Snowflake environment.
dlt consolidates data from REST APIs, SQL databases, files, and cloud storages into Snowflake. Runs where Python runs: your cloud, VPC, or data center. No vendor lock-in, no black-box connectors, full code ownership.
The first certified course on data ingestion with Snowflake built outside of Snowflake, and the fastest way to go from dlt beginner to production-ready.
dlt pipelines run in your environment: your cloud, VPC, or data center. Your data never leaves your infrastructure on the way to Snowflake.
Compliance: Meet strict regulatory and data residency requirements. No SaaS intermediary touches your data.
Custom sources: Ingest from niche, bespoke, or internal systems that no standard connector covers. If there's a Python library for it, dlt can load it.
Governance: Data lineage, auditability, and control built in. dlt + Snowflake gives organizations full confidence in platform integrity.
Use Openflow for your strategic, first-class connectors. Use dlt for everything else and for every team that works in Python with AI assistants like Claude Code, Cursor, and Codex.
Compliance · Custom sources · Governance
dlt pipelines run in your environment, meeting strict regulatory and data residency requirements. dlt handles niche and bespoke data sources that no standard connector covers. Together with Snowflake, dlt ensures lineage, auditability, and control across your entire data platform.
dltHub holds the Snowflake Financial Services Industry and Healthcare & Life Science Competencies - recognising our proven ability to help regulated organizations overcome data interoperability challenges through open architecture and seamless Snowflake integration.
Our tests have proven that dlt meets our requirements regarding performance, customization and data privacy. It fits easily into our existing hosting and security infrastructure making the production rollout cost effective. The team behind dlt has a culture of supporting enterprise customers and we were able to get help and advice quickly.
Erling Brandvik
Sparebank 1 SR-Bank
It was easy to adopt dlt by our data and application teams. It follows good engineering practices, has open source code and the documentation allows our engineers to self serve and solve most of the problems. With the help of dlt, we were able to reduce the costs of some of pipelines by up to 50%.
Florian Stefan
Flatiron Health
Python and machine learning under security constraints are key to our success. We found that our cloud ETL provider could not meet our needs. dlt is a lightweight yet powerful open source tool we can run together with Snowflake. Our event streaming and batch data loading performs at scale and low cost. Now anyone who knows Python can self-serve to fulfil their data needs.
Maximilian Eber
CPTO & Co-Founder at Taktile
Working with a customer who needs data into Snowflake from sources Openflow doesn't cover? dlt is your answer. Three ways to move forward depending on where your customer is.
Native App on Snowflake Marketplace. Replicate MSSQL, MySQL, or PostgreSQL into Snowflake via Snowflake credits. Zero procurement friction, no startup vendor process. Your customer is running in minutes.
We run a scoped proof of concept together. You bring the account, we bring the technical delivery. Fixed scope, your customer signs off on the outcome.
Humans and agents take it end to end. Pair dltHub Pro with a certified dltHub consulting partner or a dltHub Forward Deployed Engineer. We own the move off your customer's legacy stack onto dlt or dltHub Pro: pipelines, platform, and enablement included.
Building data platforms on Snowflake for clients? dlt handles the ingestion layer so your team focuses on value-added work. Agents scaffold pipelines in minutes; your engineers verify and extend them. dltHub Pro at partner discount (25 to 50% by tier), referral fees 10 to 20% on deals you source, plus co-marketing, case studies, and private Slack support. Active partners include Interworks and growing.
