Powerful and efficient pipelines thanks to the ease and performance of Snowflake.
WEBINAR
Snowflake for your data engineering: performance, simplicity, and reliability
Easily ingest, transform, and deliver 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. As a result, focus on high value-add activities towards delivering your data.
With the Data Cloud, enable batch and continuous ingestion of structured, semi-structured, and unstructured data to ensure that virtually all data consumers operate on live data, accelerating data to insights.
Run pipelines with dedicated, elastic, and right-sized computing resources for optimal performance, reliable data processing, and significant cost savings.
Bring extensibility to your pipelines by leveraging SQL and Snowpark to streamline architecture and pipeline development, with no additional clusters, services, or copies of your data to manage.
Use Scala, Python (Private Preview), or Java and familiar DataFrame constructs to build powerful and efficient pipelines, ML workflows, and data applications. And gain the performance, ease-of-use, governance, and security while working inside Snowflake’s Data Cloud.
Simplified Data Transformation and Architecture
Streamline pipeline development and management with Snowflake, with less time spent on managing infrastructure and more time on delivering data.
■ Collaborate and bring users together with different coding preferences thanks to Snowflake’s developer framework, Snowpark, and our native support for ANSI SQL.
■ Build with Scala, Python (in Private Preview), and Java; expand more functions; and execute faster in Snowflake; with no additional processing systems needed
■ Build resilient data pipelines with schema-on-read and without the need to define schema in advance
■ Enable your other data workloads with Snowflake – data warehousing, data lakes, data science, secure data sharing, and building and running data applications.
■ Manage only one copy of your data to simplify data management and governance, and to improve DevOps and ebs.
■ Easily and securely share and consume live, governed data in real time.
Watch Webinar: New Features to Build Extensible Data Pipelines >>
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, semi-structured, and unstructured data.
Watch Webinar: Best Practices Delivering Continuous Data Pipeline >>
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.
“With Snowflake, we are operating over 100 data sets, and 400-500 jobs more than 10,000 times a day, with a 99.5% success rate.”
Mark Stange-Tregear
VP Analytics, Rakuten Rewards
“Snowflake has allowed us to shift our focus from putting out fires and solving problems to design and delivery of new insights.”
Michael Garlick
Director, Software Engineering, Xevo
Choose from an extensive ecosystem of data integration partners.
Improve data access, performance, and security with a modern data lake strategy.
Simplify developing data-intensive applications that scale cost-effectively and consistently deliver fast analytics.
Eliminate data silos and instantly and securely share governed data across your organization, and beyond
Accelerate your workflow with near-unlimited access to data and data processing power.
Enable everyone in your organization with fast access to a single source of data and eliminate the cost, complexity, and latency of your traditional data warehouse.
