Data & analytics

A guide to Dataiku Flow, LLM Mesh, production deployment and agent evaluation, with a supplier-quality example and an honest view of pricing.

A practical guide to Snowflake warehouses, dynamic tables and Cortex Agents, with a renewal-analysis example and a clear explanation of consumption pricing.

Akkio now focuses on media agencies and data providers, combining campaign context, audience workflows, predictive tools and reporting in a configurable platform.

Alteryx combines visual data preparation, analytics, automation and AI. Its current packaging depends on edition, user role and automation capacity.

dbt combines SQL modeling, tests, lineage and shared metrics. Its current platform brings AI assistance to that context, following the completed Fivetran merger.

Julius combines conversational data analysis with reports, spreadsheets and other artifacts. The strongest use starts with a defined question and inspectable calculations.

MotherDuck combines DuckDB SQL, managed storage, isolated compute and sharing. Its AI and pipeline features become useful when teams preserve clear data definitions.

Observable combines code, prose, charts and an agent in one document. Its newly rewritten notebooks favor standard web languages, with several collaboration features still evolving.

A guide to Databricks Lakeflow, Unity Catalog, Genie and model serving, with a practical data-product example and a workload-based pricing framework.

An explanation of Hex notebooks, AI agents, data apps and pricing, with a worked conversion-analysis workflow and the checks that keep it trustworthy.

How ThoughtSpot Spotter, semantic models and Liveboards support self-service analysis, with current pricing and a worked margin-investigation example.