Is Snowflake Down? Current Status, Outage Reports & User Feedback
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We have detected a potential outage for Snowflake.
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We have detected a potential outage for Snowflake.
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Frequently Asked Questions
Connection issues may be caused by credential problems, network restrictions, or service availability. Verify your account identifier, username, and password are correct, check if your network allows outbound connections to Snowflake endpoints, and try the Snowflake web interface as an alternative to client tools if experiencing connectivity problems.
Performance issues can result from inefficient query design, warehouse sizing constraints, or resource contention. Check if your virtual warehouse has sufficient resources for your workload, optimize queries by adding appropriate filters and joins, and monitor for concurrent operations that might be competing for resources.
Warehouse suspension typically occurs due to inactivity timeouts or credit limitations. Resume the warehouse manually through the Snowflake interface, verify credit availability for your account, and consider adjusting auto-suspend settings for warehouses that need to remain continuously available.
Data loading issues may be caused by file format problems, storage integration issues, or permission restrictions. Verify your file formats match the expected structure, check if storage integrations (for S3, Azure, etc.) are correctly configured, and ensure you have the necessary role permissions for the target schema and tables.
Access issues can stem from role permission limitations, object sharing restrictions, or account governance. Verify you have the appropriate roles granted to your user, check if the objects are shared from another account that might be experiencing issues, and ensure your access control policies allow the operations you're attempting.
Automated processing issues may be caused by suspension settings, dependency failures, or execution problems. Check if the task's associated warehouse is available and properly sized, verify task dependencies are running successfully, and examine task history for specific execution error messages.
Session stability issues can result from network interruptions, timeout settings, or client tool problems. Try connecting from a different network if possible, adjust client timeout settings to accommodate longer-running operations, and check if your session might be terminated by account-level concurrency or idle time policies.
Usage data discrepancies may be caused by visibility limitations, data latency, or query construction issues. Allow up to 45 minutes for usage data to be fully available, verify you're querying the appropriate time ranges, and ensure you have the necessary role (ACCOUNTADMIN) to access comprehensive usage information.
About Snowflake
Snowflake is a cloud data platform that provides storage, processing, and analytics capabilities through a multi-cluster, shared data architecture optimized for cloud environments. The service delivers separate compute and storage resources that scale independently, enabling organizations to manage diverse data workloads including data warehousing, data lakes, data engineering, data science, and data application development with performance isolation, concurrency, and simplified data sharing across business units and external organizations.
Data engineers use Snowflake to build data pipelines and transformation workflows that process structured and semi-structured data from multiple sources, taking advantage of its elastic compute resources for varying workload demands. Business intelligence teams implement Snowflake as their central data warehouse for reporting and analytics, connecting visualization tools to consistently available datasets with performance that scales to support growing user bases. Data science groups leverage Snowflake for preparing training datasets and deploying machine learning models against enterprise data, while data-driven applications utilize Snowflake's API integrations to embed analytics into customer-facing products and services.
Users may experience various types of issues when using Snowflake, including temporary query performance variations during auto-scaling events, occasional metadata operation delays during peak usage periods, or brief connectivity interruptions during planned maintenance windows. Data loading operations might sometimes encounter throughput limitations based on file sizes and concurrency. Credit consumption could accelerate unexpectedly with poorly optimized queries or inappropriate warehouse sizing. Query result caching might deliver inconsistent benefits depending on data freshness requirements and query patterns. During version updates or regional cloud provider events, users might notice temporarily increased latency for specific operations, limited availability of recently introduced features, or delayed propagation of role-based security changes across the platform.