vs Snowflake
CryspIQ® is not an alternative to Snowflake — it supplies the enterprise model Snowflake expects you to build yourself. What Snowflake supplies, what it expects you to build yourself, and which of those things CryspIQ® provides as part of the model.
vs Databricks
CryspIQ® is not an alternative to Databricks — it supplies the enterprise model the lakehouse expects you to build. Where the medallion architecture puts business meaning, why that meaning gets re-added per consumer, and what CryspIQ® changes about it.
vs Microsoft Fabric
CryspIQ® is not an alternative to Microsoft Fabric — it supplies the enterprise model Fabric expects you to build in the gold layer and in Power BI semantic models. Where Fabric puts business meaning, why OneLake solves the copy problem and not the meaning problem, and how the two fit together.
vs Kimball
How CryspIQ® differs from Kimball dimensional modelling and star schemas — what each one fixes, what each leaves open, and when a purpose-built star schema is still the right answer.
vs Inmon
How CryspIQ® differs from the Inmon top-down enterprise data warehouse — the two agree on a single governed enterprise model and differ on who builds it, how long it takes and what a change costs.
vs Data Vault
How CryspIQ® differs from Data Vault 2.0 — Data Vault solves auditable loading and history and still needs a downstream model to answer questions, where the CryspIQ® decomposed store is itself the consumption model.
vs Data Lake
How CryspIQ® differs from a data lake, lakehouse or medallion architecture — a lake is a storage decision that preserves source structure, where CryspIQ® is a modelling decision that deliberately discards it.
vs a Semantic Layer
A semantic layer and CryspIQ® make the same promise — define once, reuse everywhere — and differ on when meaning is applied. One translates at query time; the other stores meaning with the data.
vs MDM
MDM makes one instance per party the outcome of a programme of matching, survivorship and stewardship. CryspIQ® makes it a property of the schema — and models transactions in the same place.
Alternatives to MDM
What to do when an MDM programme is stalling — narrow the scope, fix the sources, add a semantic layer, adopt a governed enterprise model, or commit properly. Which one depends on whether you have duplicate records or conflicting definitions.