BigQuery MCP server: what an AI agent can query, and the guardrails it needs
Google's BigQuery MCP server gives an agent 9 tools, SQL on raw tables and up to 3,000 rows. It has no per-query byte cap and no metric definitions.
9 min read
#data-warehouse
9 articles
Fivetran pricing in 2026: how MAR billing works and what drives the bill
Fivetran bills each connection by monthly active rows. On Standard, the first million MAR costs $500 a month at list price, and the rate falls per connection.
8 min read
Snowflake MCP server: what the agent sees and what still needs a semantic layer
The Snowflake-managed MCP server exposes only the tools you declare. Answer quality still depends on a semantic view your team writes and maintains.
8 min read
Windsor.ai alternatives for ecommerce data teams in 2026
Windsor.ai starts at $19 a month but caches data for about three weeks. Nine alternatives scored on seven criteria, with when to stay put.
9 min read
15 best AI tools for data analysis for ecommerce in 2026
A ranking of 15 AI tools for data analysis on criteria C1 to C7. Ten of the 14 competitors need a data warehouse you have already built.
9 min read
10 best ETL tools for marketing data in 2026
Nine ETL tools and Precisian scored on seven criteria. None of the nine documents versioned, customer-approved metrics; most leave modeling to you.
8 min read
Composable CDP vs data lake: which one an ecommerce brand needs first
A composable CDP activates customer profiles that live in your warehouse. A data lake keeps every source for analysis. One sends, the other explains.
7 min read
Data lake vs data warehouse vs lakehouse for ecommerce and marketing data
A lake keeps raw data, a warehouse keeps modeled data, a lakehouse puts transactions on open files. None of them defines net revenue.
8 min read
Semantic layer vs data warehouse: they don't compete
One stores and computes; the other defines what is being computed. There is no NOT NULL for semantics.
7 min read