Graph Analytics

Graph Analytics tools use graph queries and algorithms to uncover patterns, relationships, and actionable insights from connected data.

To be included, an offering has to meet three criteria:

• Analytics as a distinct offering or library: Graph algorithms are exposed as a recognizable analytics product, module, or library in their own right, not just as features buried inside a general-purpose database or platform.
• Analytics first-class: Graph algorithms are core, built-in capabilities (such as APIs, procedures, or libraries), not something users are expected to implement from scratch for every project.
• Clear deployment and backend scope: It is clear how the offering runs (for example, open source or commercial; SaaS, managed in the customer’s cloud, or self-managed) and which data backends it works with (either as a multi-backend library across multiple data sources, or as an analytics layer tightly coupled to a specific platform).

The table below summarizes these products across key dimensions, including backend coupling, availability and licensing, languages, number of algorithms, representative built‑in algorithms, and data sources, so you can quickly see where each player fits and which ones merit a deeper look.

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