Neo4j vs Newton Research

Neo4j GraphAware Financial Crime Intelligence debuts for full-cycle detection, investigation & prevention

Neo4j has launched GraphAware Financial Crime Intelligence, a new solution for full-cycle detection, investigation, and prevention of financial crime. This follows the acquisition of GraphAware and the launch of intelligence analysis solutions.

Introducing Neo4j GraphAware Financial Crime Intelligence

Neo4j launches GraphAware Financial Crime Intelligence, a new solution for financial crime detection and investigation, and introduces Graph Analytics for self-managed deployments.

Benchmark of Five Managed Graph Databases

A reproducible benchmark comparing CognoDB Cloud, Neo4j AuraDB, Memgraph, FalkorDB and ArangoDB revealed major pitfalls in naive measurement: geographic placement of managed instances skewed raw latency numbers, server-reported execution time (via Bolt drivers) is required for fair engine-to-engine comparison, and CognoDB v0.9.11 exhibited a background-indexing behaviour that caused indexed lookups to return no results while an index was building, silently dropping relationship writes. Concurrency characteristics differed: cloud-hosted databases scaled with client concurrency due to network latency hiding server idle time, while local instances became CPU-bound and slowed. The author published the full harness and raw data on GitHub.

• Five graph databases were benchmarked: CognoDB Cloud, Neo4j AuraDB, Memgraph, FalkorDB and ArangoDB.
• Geographic placement of managed cloud instances (e.g., CognoDB in Google Cloud us-east4 and Neo4j AuraDB in Google's Singapore range) skewed raw wall-clock latency measurements.
• Using server-reported execution time via Bolt drivers (network excluded) was necessary to fairly compare engines in different regions.

Newton Research Launches Unlimited Analytics Agentic Layer

Newton Research launched Unlimited Analytics on August 4, 2026 — an agentic AI intelligence layer for digital advertising that provides brands, agencies and media companies with analytics across media planning, activation, optimization and measurement. The platform uses multiple AI agents and agentic workflows (accessible via natural-language prompts or pre-built blueprints) and is already engaged by partners including Dentsu, Horizon Media and RPA. Key capabilities include advanced causal modeling with per-brand/per-channel/day granularity, accelerated marketing-mix-modeling (MMMs) that cuts timelines from months to days, and agentic media buying that surfaces real-time intelligence. Unlimited Analytics interoperates with existing stacks and clean rooms and integrates client first- and licensed third-party data via Snowflake connections to avoid separate transfers. Horizon Media has used it within Horizon Blu for about a year and reports a 10–20% increase in return on ad spend; quotes from Lisa Herdman and CEO John Hoctor accompany the announcement.

• Newton Research launched Unlimited Analytics on 2026-08-04; an agentic AI intelligence layer for digital advertising covering planning, activation and measurement.
• Dentsu, Horizon Media and RPA are engaged partners; the announcement includes quotes from Lisa Herdman (RPA) and John Hoctor (CEO, Newton Research).
• Platform uses multiple AI agents and agentic workflows, accepts natural-language prompts and pre-built blueprints, and supports agentic media buying with real-time intelligence.