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3 minute readOSI is Cool
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
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
