Prompt
What warehouse should I use if my team lives in dbt and Looker?
Latest observation
If your team lives in dbt and Looker, the best default warehouse is usually Snowflake.
Why Snowflake is a strong fit
- Very smooth dbt support: common, well-tested, and easy to operate.
- Great with BI tools like Looker: fast SQL performance and concurrency handling.
- Separation of compute/storage: easy to scale and manage cost.
- Works well for analytics teams: especially if you want low ops overhead and predictable behavior.
Other good options
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BigQuery
- Best if you’re already deep in the Google Cloud ecosystem.
- Very low maintenance and strong for large-scale analytics.
- Often a great choice with dbt + Looker too, especially if your data is already in GCP.
-
Redshift
- Good if you’re heavily on AWS.
- Can work well, but typically requires more tuning/ops than Snowflake or BigQuery.
Quick recommendation
- Choose Snowflake if you want the safest all-around choice for dbt + Looker.
- Choose BigQuery if you’re GCP-first.
- Choose Redshift if you’re AWS-first and already standardized there.
If you want, I can also give you a decision matrix based on cloud provider, budget, scale, and team size.
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
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