Ali Ghodsi’s Post

Meanwhile #Fabric offers a very predictable TCO, similar and often faster performance than Databricks and is tightly integrated with Power BI and the Microsoft ecosystem. And best of all, depending on the shape of your workload can work out to be significantly cheaper than either platform! 🧐 Why do these comparisons focus on specific query workloads to compare cost? You need to look at the big picture! No one runs up a Snowflake or Databricks instance to run a couple of queries.

I heard the Snowflake CEO said that Databricks is no longer their competitor. And now it's from the other side of the table where you say that you don't think about Snowflake. Come on... Don't you guys get tired of this never ending series of gestures targeting each other ? Focus on your product. That will win you customers. Negative marketing will not.

Another non-objective comparison to add to the pile.

"I don't think about Snowflake, but here's a link comparing Databricks vs Snowflake."

As mentioned on another post with this article, the author tested external tables using parquet and not iceberg as alluded to in the top of the article. Iceberg will be much more performant. Curious why he chose parquet for the benchmark 🤔 https://www.linkedin.com/posts/willdolan_databricks-vs-snowflake-by-the-numbers-activity-7257127468866691073--UvE?utm_source=share&utm_medium=member_android

😂 bro you’ve spent 75% of your waking hours over the last 8 years thinking about Snowflake. Focus on going public, the early employees deserve the reward

Ali Ghodsi This blog is specifically target at #snowflake. Though I appreciate the efforts of the blogger, Authenticity needs to be questioned and blogger is using External tables instead of Standard Table. Also, he think, performance tuning features needs to be added above external table; seems he lacks, #snowflake expertise. I encourage the blogger to understand Snowflake Performance Optimization from a #snowflake expert before trying quickly pre-conclude with quick easy judgements...

I can’t believe deepfake technology managed to hijack the LinkedIn profiles of two of the brightest CEOs shaping the future for enterprises 😊. With my modest contribution to the debate over TCO, I’d add that real value extends beyond the technology alone. Reducing Total Cost of Ownership (TCO) involves more than just selecting the right platform—it’s about creating lasting business value. True impact relies on smart engineering, strong user adoption, and continuously evolving architecture that aligns with business goals (no small task these days). From my experience, these are the drivers of digital sales, operational excellence, and sustainable growth.

Does TCO stand for Tenuous Comparison Obsession? I think I know the answer! 😉

Ali Ghodsi I feel like we are back into the 90s comparing Teradata and Exadata performance on some basic benchmarking queries! We are in 2024, the world is running with AI and blockchain and Snowflake AI Data Cloud is the right easy to use scalable platform for large enterprises. Customers are looking at the big picture not at a query performance that any vendor can show as more performant than the competition.