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6 minute readAI Can Write SQL. It Still Fails as an Analyst.
The first demo of any AI analyst feels magical. Show me Q4 revenue? AI nails it. Show me user growth? A breathtaking interactive infographic in 5 minutes. AI is getting better and better in writing SQL. Anyone, anywhere can now just ask about the data. And if I were heading a data team right now, […]
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3 minute read
OSI is Cool: Why Honeydew Joined the Open Semantic Interchange
Over the years at Honeydew, we’ve built our foundation on one simple belief: if you want people to trust data – whether from dashboards, AI agents, or BI tools – your semantics have to be consistent, understandable, and shared. We’ve fought the typical misalignments: one tool calls something “active_users”, another calls it “users_engaged”, a third […]
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9 minute read
Honeydew and Snowflake Semantic Views
How Honeydew and Snowflake Semantic Views mesh together
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5 minute read
Our 2025 Roadmap: From BI to AI
What happens when natural language queries become the new BI? Honeydew's job expands in 2025
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10 minute read
Talk to Your Data (Loudly)
Talking to data has become feasible thanks to LLMs, But How? And Why?
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7 minute read
On the value of Expressiveness in Semantic Layers
Occasionally (ok, very commonly) I find myself in a conversation comparing different Semantic Layers. And while many times the conversation veers towards the fundamentals like performance, cost, or tool support, I think there is one crucial component lacking.
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10 minute read
dbt Semantic Layer vs Looker LookML
dbt semantic layer is a standalone layer shared by different tools. It comes from dbt’s acquisition of Transform in early 2023. (dbt previously built something on their own and scraped the effort)
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6 minute read
Semantic layers are awesome
When the company was small, you had this database. A few dashboards were attached on top
