Summary
Calibo’s platform now natively integrates Snowpark and dbt Cloud, enabling teams to build, run, and manage data pipelines, from ingestion through transformation, inside a single governed environment.
This reduces complexity, improves governance, and accelerates insights by keeping all processing within Snowflake’s ecosystem while preserving familiar workflows. Here’s how it works.
Modern data pipelines often involve a patchwork of tools and handoffs – data ingested from multiple sources, transformed, and delivered to business applications.
This fragmented approach creates friction: teams spend too much time moving and prepping data instead of extracting insights.
In today’s fast-paced, data-driven environment, organizations need a way to go from raw data to actionable insight seamlessly. Technologies like Snowflake’s Snowpark and the dbt Cloud transformation framework have emerged to power high-performance data workflows, but the challenge is integrating these capabilities end-to-end with proper governance.
Calibo Accelerate addresses this challenge by providing a unified platform for digital and data initiatives. It enables enterprises to orchestrate the entire data workflow – from ingestion to transformation to activation – within a single governed environment.
Calibo offers one platform to manage data workflows across the entire lifecycle, breaking down the barriers between ingestion, processing, and utilization.
All stakeholders – from data engineers to product owners – can collaborate through a single interface. By integrating with 150+ technologies (including Snowflake, Snowpark, and dbt Cloud), Calibo ensures that your existing data stack plugs seamlessly into a unified pipeline.
This means you can define a data product use case, ingest raw data, transform it, and deliver insights without jumping between disparate systems.
A critical advantage of this unified approach is the governance layer embedded by design. Because data stays within controlled platforms (e.g. Snowflake) and all steps are executed through Calibo, it’s easier to enforce security policies, track data lineage, and manage access centrally. Compliance is maintained without creating bottlenecks.
In practice, this provides 100% traceability from ideation to delivery for every data pipeline.
Calibo Accelerate leverages Snowpark – Snowflake’s developer framework for in-database processing – to remove friction in transformations.
Users can write transformation logic in Python or Java and execute it directly inside Snowflake as part of an orchestrated data pipeline.
Executing transformations inside Snowflake minimizes data movement, reduces latency, and improves security. Compute, transformation, and storage all co-locate in Snowflake, simplifying architecture while ensuring governance.
Calibo Accelerate also supports the use of Snowpark in data pipelines for ingesting data from major relational databases, including MySQL, PostgreSQL, and Oracle.
Data is ingested directly into Snowflake via its compute layer, with SSL certificate–based connectivity ensuring security in transit.
This approach results in faster pipelines, simplified architecture, and built-in governance from the moment data enters the platform.
Calibo Accelerate integrates directly with dbt Cloud, enabling teams to import existing dbt projects and create or run new jobs that are part of a Calibo data pipeline. Job run logs and results are accessible in the Calibo UI, giving teams visibility into their transformation workflows.
By supporting dbt Cloud natively, Calibo allows teams to continue working with familiar SQL-based workflows while benefiting from unified orchestration, scheduling, and governance.
Integrating Snowpark and dbt Cloud into a single platform yields clear benefits for data leaders:
“From data to action” is more than a tagline – it’s a necessity for enterprises undergoing digital and data transformation. Calibo’s native integration of Snowpark and dbt Cloud makes it possible to orchestrate ingestion, transformation, and activation within a single governed platform.
The result: streamlined workflows, full traceability, and faster time to insight. Heads of Data, Heads of Data Platform, and Data Product Owners gain agility without losing control, enabling them to turn data into action with confidence.
Want to learn more? Check out the Accelerate platform or Data Fabric Studio.
1: Do we have to change how we build transformations?
No. Calibo Accelerate runs Snowpark-powered transformations directly inside Snowflake, so you can write logic in Python or Java and execute it in-database. If you’re using dbt Cloud, you can import existing projects, create or run jobs from Calibo, and view run logs and results in the Calibo UI—keeping your familiar SQL workflows.
2: How is governance handled across the pipeline?
Governance is embedded by design. Because data and processing stay within controlled platforms like Snowflake and steps are orchestrated through Calibo, you can enforce security policies, track data lineage, manage access centrally, and maintain compliance—delivering 100% traceability from ideation to delivery.
3: What does ingestion look like with Snowpark?
Calibo Accelerate supports Snowpark-based ingestion from major relational databases such as MySQL, PostgreSQL, and Oracle. Data is ingested directly into Snowflake via its compute layer, with
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