Uploaded May 2026 | Updated September 2026, 2 weeks ago
Get started with AlloyDB → https://goo.gle/4d3cuSe
Build the demo → https://goo.gle/4cPvQvf
Join Paul Ramsey, Product Manager at Google, for a demonstration of AlloyDB’s new Lakehouse Federation capability. Using a fictional financial services firm, Cymbal Investments, we show how analysts can research S&P 500 trends by combining real-time vector search with data in BigQuery and Google Cloud Lakehouse.
In this video, you will see:
* Hybrid Search: Searching 3.2 million text chunks and embeddings of 10-K filings using natural language.
* Lakehouse Federation: Joining AlloyDB vector results with BigQuery reference data and historical Parquet/Iceberg data lakes without moving any data.
* Performance Optimization: Automatic pushdown of filters and aggregates to BigQuery for fast results.
* One-Click Reverse ETL: Syncing BigQuery data for low latency queries with zero performance trade offs.
* Unified Access Layer: Accessing your entire data platform—from live transactions to archives—through a single lens.
Learn how AlloyDB enables cloud and AI transformation for your data platform.
Watch more Understanding AlloyDB → https://goo.gle/UnderstandingAlloyDB
🔔 Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
Speaker: Paul Ramsey
Products Mentioned: AlloyDB for PostgreSQL
Get started with AlloyDB → https://goo.gle/4d3cuSe
Build the demo → https://goo.gle/4cPvQvf
Join Paul Ramsey, Product Manager at Google, for a demonstration of AlloyDB’s new Lakehouse Federation capability. Using a fictional financial services firm, Cymbal Investments, we show how analysts can research S&P 500 trends by combining real-time vector search with data in BigQuery and Google Cloud Lakehouse.
In this video, you will see:
* Hybrid Search: Searching 3.2 million text chunks and embeddings of 10-K filings using natural language.
* Lakehouse Federation: Joining AlloyDB vector results with BigQuery reference data and historical Parquet/Iceberg data lakes without moving any data.
* Performance Optimization: Automatic pushdown of filters and aggregates to BigQuery for fast results.
* One-Click Reverse ETL: Syncing BigQuery data for low latency queries with zero performance trade offs.
* Unified Access Layer: Accessing your entire data platform—from live transactions to archives—through a single lens.
Learn how AlloyDB enables cloud and AI transformation for your data platform.
Watch more Understanding AlloyDB → https://goo.gle/UnderstandingAlloyDB
🔔 Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
Speaker: Paul Ramsey
Products Mentioned: AlloyDB for PostgreSQL
