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Integrations that allow software to run as native components or stored procedures within Snowflake data warehouses.
Distinct from Snowflake Registries: Unlike the candidates which focus on feature store registries, this is about executing forecasting logic as stored procedures.
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Nixtla is a time series analysis platform centered on a transformer-based foundation model. It provides zero-shot inference for forecasting and anomaly detection, allowing the system to predict future values for new time series without requiring model retraining. The project is designed for large-scale analysis, using distributed inference scaling and forecast parallelization to process millions of data series. It supports fine-tuning adaptation to adjust pretrained weights for domain-specific datasets and offers deployment options ranging from local execution and private containers to integr
Embeds forecasting and anomaly detection logic directly into Snowflake as native stored procedures for in-database analysis.