Transcript
what Snowflake provides to our platform. Zeta Global is an AI-powered marketing company. Our mission is to help our customers attract, grow, and retain customers, and we do that with our AI-powered marketing platform and also a proprietary data cloud. Before, we had multiple data stacks across the company. For operational and for analytics, we had two different stacks where data needed to be kept in sync, and there was real engineering bandwidth that was going in keeping both the stacks, like data in sync, consistent. Snowflake covers 80% of the query surface across our platform. Now we have one single source of truth across multiple workloads in our data. Data sync issues, data consistency issues, they're kind of taken care of because of this new architecture. One of the wins has to be the catalog-linked databases. It's linking Snowflake with Iceberg REST Catalog, and with that, we are enabling data being in the S3 table, it's being managed by AWS, data compaction jobs, and replication being taken care of by the managed AWS tables, and all the elastic compute on top being managed by Snowflake. Instead of storing two or three copies of the data, now we have one single copy of the data. It's not just the data storage that we are saving, we are also saving on not having to over-provision our compute. We can focus on the real features that matter to our business. There is no duplication of data, there is no multiple teams having different data sets that they look at. AI agents are a big bet for us. We have built Athena, the AI-powered marketing agent, and any AI agent is as good as the data underneath it. AWS and Snowflake together, this architecture, is allowing us to have one single source of truth in the data lake house, and all the AI agents are grounding all their data based on the same. It actually lets our AI agents operate on the same version or same consistency of data as the rest of our platform is. For years, we have seen that data and applications are looked at as two different problems. With Snowflake being the query engine, with the database connected through catalogs, and Iceberg and S3 tables, I'm really excited to see in the future, as we adopt this design at scale, and as customers also adopt this architecture, how this will pan out.
