Whatagraph vs Hex
Side-by-side trajectory, velocity, and editorial themes.
Whatagraph is quietly building a data layer beneath its agency reporting tool.
Whatagraph remains an agency-focused marketing reporting platform, but recent releases push two fronts at once: deeper data infrastructure and broader visualization. The Data Storage destination and Snowflake source let it ingest and retain data rather than just pull live API calls each render, while a steady stream of widgets (GeoMap, Gauge, Heatmap) and table controls sharpen the reporting surface clients see. Integration breadth keeps widening with WhatConverts, Shopify collaborator access, and a rebuilt CallTrackingMetrics.
The center of gravity is shifting from a connector that visualizes marketing channels toward a data layer that stores and blends first-party and warehouse data. Storage, 24-month backfill, and Snowflake ingestion all reduce dependence on live API calls and position Whatagraph to own more of the pipeline. Visualization work continues in parallel but increasingly reads as table-stakes polish next to the infrastructure bets.
Expect the storage and warehouse thread to deepen, with more destinations, longer retention, and richer blended-attribution tooling on the Max plan. AI-assisted report creation (Create with IQ) is the likely next surface to expand.
Hex is rebuilding itself as an agent that turns prompts into data apps.
Hex has pivoted into agentic data analytics: an AI agent that builds analyses, dashboards, and now whole apps from prompts. Across this window it has widened the agent's context (repos, user memory, semantic models), its reach (MCP client, availability inside Codex), and its output surface (generative data apps).
The throughline is an agent that ingests broad context and acts across external tools rather than staying boxed in a notebook. Generative Data Apps plus MCP-client connectivity point at Hex wanting to be the agentic layer over a company's data stack, not just its analysis canvas.
Expect deeper agent autonomy and more model/tool options next, building on the model picker, web search, and MCP work visible here. More app-template or embedding paths are the likely follow-through to Generative Data Apps.
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