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MODERN DATA ENGINEERING WITH SNOWFLAKE

Build simple, reliable data pipelines in the language of your choice

Snowflake streamlines data engineering, while delivering performance and reliability.

Easily ingest, transform, and deliver all your data for faster, deeper insights.

With Snowflake, data engineers can spend little to no time managing infrastructure, avoiding such tasks as capacity planning and concurrency handling. Instead, they can focus on more value-add activities towards delivering your data.

All Data, Any Speed

Enable batch and continuous ingestion of structured and semi-structured data to ensure virtually all data consumers operate on live data, accelerating data to insights.

Improve Pipeline Performance and Reliability

Run pipelines with dedicated, elastic, and right-sized computing resources for optimal performance, reliable pipelines, and significant cost savings.

Reduce Pipeline Complexity

Leverage SQL to streamline pipeline development with no additional clusters, services, or copies of your data to manage.

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HOW SNOWFLAKE ENABLES MODERN DATA ENGINEERING

Batch and Continuous Data Pipelines for Various Data Formats

Modern data-driven applications can’t wait for data. Snowflake handles both batch and continuous data ingestion of structured and semi-structured data.

Native support for semi-structured data with no need to define schema
Automated and managed data ingestion in near-real time from cloud blob storage with Snowpipe
Simplify change data capture (CDC) with Streams & Tasks
Simply load data and run with instant data availability

Performance at Scale with Tailored Transformation Needs

Traditional solutions require dedicated time windows for executing pipelines. On the flip side, Snowflake is uniquely architectured to provide multi-clustered computing, with resource isolation for each workload.

Maintain performance across a near-infinite number of concurrent workloads thanks to Snowflake’s multi-cluster shared data architecture.
Only pay for what you use by optimizing pipeline performance and price, with instant resizing of dedicated compute clusters.
Scale a near-infinite amount of computing resources, up or down, with just a few clicks.

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Simplified Data Transformation and Architecture

Streamline pipeline development and management with Snowflake, with less time spent on infrastructure and more on delivering data.

Bring more data engineering collaboration thanks to fast and simplified data transformation with ANSI SQL.
Extend your pipelines to include external functions, JavaScript functions, and stored procedures.
Enable your other data workloads with Snowflake – data warehousing, data lakes, data science, secure data sharing, and building data applications.
Manage only one copy of your data to simplify data management and governance, and to improve DevOps and DataOps.
Easily and securely share and consume live, governed data in real time.
Build resilient data pipelines with schema-on-read and without the need to define schema in advance