Hex vs Cube
Side-by-side comparison of AI visibility scores, market position, and capabilities
SF collaborative data workspace combining SQL and Python notebooks with interactive app publishing; $172M total including $70M Avra Series C May 2025 serving Reddit, Anthropic, and Figma competing with Databricks Notebooks and Mode Analytics.
About
Hex is a San Francisco-based collaborative data workspace platform — backed with $172 million in total funding including a $70 million Series C led by Avra in May 2025 — providing data analysts, data scientists, and business intelligence teams with a notebook-style environment that combines SQL, Python, R, and no-code visual tools in a single collaborative workspace for data exploration, analysis, visualization, and sharing interactive reports with non-technical stakeholders. Hex serves customers including Reddit, Anthropic, Figma, Rivian, and the NBA with a platform that bridges the gap between technical data work (SQL queries, Python data manipulation) and business communication (interactive dashboards, narrative reports, embedded charts) without requiring separate tools for analysis and presentation.
San Francisco CA semantic layer and headless BI platform; raised $100M+; API-first data access layer that sits between warehouses and any BI or AI consumer.
About
Cube is a semantic layer and headless business intelligence platform founded in 2019 and headquartered in San Francisco, California. The company was founded by Artyom Keydunov and Pavel Tiunov to solve the problem of metric proliferation in data-driven organizations: when every BI tool, internal application, and data consumer defines its own metrics independently, companies end up with different answers to the same business question depending on where they look. Cube provides a single semantic layer — a governed data model layer — that defines all business metrics and dimensions once, then serves them consistently to any downstream consumer via REST, GraphQL, or SQL APIs.\n\nCube raised $100 million across multiple funding rounds from investors including Bain Capital Ventures, Decibel Partners, and 468 Capital. Its platform is built on an open-source core (Cube.js) with hundreds of thousands of community users and deployments. The commercial Cube Cloud product adds managed infrastructure, a development environment, testing tools, query caching for performance optimization, and access controls. Cube's API-first, headless architecture allows it to serve metrics to traditional BI tools, embedded analytics applications, internal data apps, and increasingly AI assistants and large language model (LLM)-powered analytics tools.\n\nCube's caching and pre-aggregation engine is a significant technical capability: it automatically builds materialized aggregates from frequently run queries and serves them from a high-performance cache layer, dramatically reducing warehouse query latency and costs for dashboards and embedded analytics applications. This performance layer makes Cube a practical choice for public-facing embedded analytics where end users expect sub-second response times that direct warehouse queries cannot reliably deliver.
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