- Snowflake • Data Warehouses and Lakehouses
- Visibility audit
- Conversations
- Prompt history
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Prompt history
This question was asked 6 times across 1 report run. 6 models answered this question, and 23 different brands were mentioned.
Click through the tabs to see a summary of ranking across mentioned brands, a chronological list of answers, and trends over time.
Summary of brand sentiment for this question across 1 report run. See how many times each brand was mentioned and how often they were favored in the answers.
Chief Data Officer / Head of Data & Analytics asked:
Which cloud-native data warehouse and lakehouse platforms offer the most mature support for generative AI and ML workloads at enterprise scale?
| Brand | Visibility | Rank |
|---|---|---|
#1  Databricks | 100% | |
#2  Snowflake | 100% | |
#3  Google Cloud | 100% | |
#4  Microsoft | 66% | |
#5  AWS | 50% | |
#6  Oracle | 16% | |
#7 V Vertex AI | 16% | |
#8  IBM | 16% | |
#9  Domo | 16% | |
#10  Cloudera | 16% | |
#11  Starburst | 16% | |
#12  Dremio | 16% | |
#13 A Apache Spark | 16% | |
#14 g genie | 16% | |
#15 M Mistral | 16% | |
#16 L LLaMA | 16% | |
#17 M MLflow | 16% | |
#18 S Snowpark | 16% | |
#19 U Unity Catalog | 16% | |
#20 M Mosaic AI | 16% | |
#21 B BigQuery ML | 16% | |
#22 S Snowflake Cortex AI | 16% | |
#23 B BQML | 16% |