TimesFM models in BigQuery and AlloyDB

We are thrilled to announce the integration of TimesFM into our leading data platforms, BigQuery and AlloyDB. This brings the power of large-scale, pre-trained forecasting models directly to your data within the Google Data Cloud, enabling you to predict future trends with unprecedented ease and accuracy.

TimesFM is a powerful time-series foundation model developed by Google Research, pre-trained on a vast dataset of over 400 billion real-world time-points. This extensive training allows TimesFM to perform "zero-shot" forecasting, meaning it can generate accurate predictions for your specific data without needing to be retrained. This dramatically simplifies the process of creating and deploying forecasting models, saving you time and resources.

Now, let's dive into what this means for you in BigQuery and AlloyDB.

TimesFM in BigQuery

We launched the AI.FORECAST function in preview at Google Cloud Next ‘25. Today, we are announcing: 

• AI.FORECAST and AI.EVALUATE are now Generally ...