Skip to content

Data Platform

Run Apache Spark™ Code with the Snowflake Engine.

Modernize your Apache Spark Workloads with Spark Connect for Snowpark

 

Talk to our Experts

Key Benefits of Apache Spark Connect for Snowpark

The Importance of DataOps and Data Engineering-1
Lower TCO with Unified Compute

Running Apache Spark code directly on Snowflake eliminates the need for dedicated Spark clusters. This reduces infrastructure overhead, simplifies maintenance, and lets teams focus on delivering business value—not managing infrastructure.

What is a Data Pipleline_ Infostrux
Faster Migration and Development

Spark Connect provides compatibility with familiar Spark APIs—DataFrame, SQL, and UDFs—enabling teams to quickly migrate existing pipelines, test new use cases, and build future-proof solutions.

Making the Switch to Data Engineering_ Impressions and Tips-1
Enterprise-Grade Governance

Leverage Snowflake’s built-in data governance framework to manage access, lineage, and compliance across Spark workloads—ensuring your governance policies extend across all stages of the data engineering lifecycle.

How It Works

Spark Connect lets customers run Apache Spark code through their preferred tools—such as Snowflake Notebooks, Jupyter, VSCode, Apache Airflow, or Spark Submit—while Snowflake handles the compute. This enables seamless execution across Snowflake-managed storage and external environments like Iceberg and cloud object storage, with no additional cluster provisioning or scaling logic required.

snowparkconnectfig2
What Was Microsoft’s View of Data and Cloud_

Why It Matters

Organizations that rely on Apache Spark can now unify their analytics, engineering, and machine learning workflows within Snowflake. By running Spark code natively on the Snowflake platform, teams gain:

  • Operational simplicity with fewer moving parts

  • Reduced infrastructure costs

  • Faster time-to-value for new pipelines

  • Consistent governance and security

Get in touch
Webinar Dangers of Homogeneous Sampling – How Your Data May Be Telling You the Wrong Story Images (1)

Webinar Details

Topic

Dangers of Homogeneous Sampling: How Your Data May Be Telling You the Wrong Story

Date & Time

January 16th, 2024 @ 11:30 pm

Format

Panel discussion + Q&A

(25 minutes discussion + 10 minutes Q&A)

Cost

Free

Duration

35 Minutes