Databricks 2022 vs Databricks 2025

1

Google Cloud AI

I'm biased, but giving my honest personal opinion here, I think this sounds like a bad idea. I'm not optimistic about Databricks long term. They are a data prep company masquerading as a data science company. Nothing wrong with that, but Spark resources are expensive compared with SQL, and they are at risk from all fronts (Cloud providers, Snowflake, AI/ML platform players, etc.). I see their Databricks controlled format "Delta Lake" going nowhere in the face of a far superior Apache Iceberg that has an active community and the backing of well known companies like Netflix, Apple, Adobe, LinkedIn, Expedia, and Stripe. On the ML front, there are fierce competitors like Dataiku, DataRobot, and H2O.ai plus solid solutions from the Cloud providers (SageMaker, Azure ML, Google ML). Look at the current Gartner MQ for ML. Dataiku is better ranked than Databricks. How is Databricks going to advance in ML if they are investing the majority of their R&D budget in trying to fix their 80-90% data prep business? I think there are better opportunities from a pure investment standpoint. Good luck!

#Machine Learning #AI #Data Science And Machine Learning 4 social mentions

2

Azure Machine Learning Service

I'm biased, but giving my honest personal opinion here, I think this sounds like a bad idea. I'm not optimistic about Databricks long term. They are a data prep company masquerading as a data science company. Nothing wrong with that, but Spark resources are expensive compared with SQL, and they are at risk from all fronts (Cloud providers, Snowflake, AI/ML platform players, etc.). I see their Databricks controlled format "Delta Lake" going nowhere in the face of a far superior Apache Iceberg that has an active community and the backing of well known companies like Netflix, Apple, Adobe, LinkedIn, Expedia, and Stripe. On the ML front, there are fierce competitors like Dataiku, DataRobot, and H2O.ai plus solid solutions from the Cloud providers (SageMaker, Azure ML, Google ML). Look at the current Gartner MQ for ML. Dataiku is better ranked than Databricks. How is Databricks going to advance in ML if they are investing the majority of their R&D budget in trying to fix their 80-90% data prep business? I think there are better opportunities from a pure investment standpoint. Good luck!

#Machine Learning #AI #Data Science And Machine Learning 4 social mentions

3

Amazon SageMaker

I'm biased, but giving my honest personal opinion here, I think this sounds like a bad idea. I'm not optimistic about Databricks long term. They are a data prep company masquerading as a data science company. Nothing wrong with that, but Spark resources are expensive compared with SQL, and they are at risk from all fronts (Cloud providers, Snowflake, AI/ML platform players, etc.). I see their Databricks controlled format "Delta Lake" going nowhere in the face of a far superior Apache Iceberg that has an active community and the backing of well known companies like Netflix, Apple, Adobe, LinkedIn, Expedia, and Stripe. On the ML front, there are fierce competitors like Dataiku, DataRobot, and H2O.ai plus solid solutions from the Cloud providers (SageMaker, Azure ML, Google ML). Look at the current Gartner MQ for ML. Dataiku is better ranked than Databricks. How is Databricks going to advance in ML if they are investing the majority of their R&D budget in trying to fix their 80-90% data prep business? I think there are better opportunities from a pure investment standpoint. Good luck!

#Data Science And Machine Learning #Data Science Tools #Machine Learning 36 social mentions