GraphAware First to Integrate Neo4j CDC in Hume

We are excited to announce a significant development in the field of graph-based analytics. We’ve teamed up with Neo4j to integrate their recently launched CDC (Change Data Capture) feature into our leading graph analytics tool, Hume. This partnership is transforming the landscape of graph technology, providing intelligence agencies and other organisations with powerful tools to unlock their mission-critical capabilities.

Neo4j CDC & Hume: up to 100x faster analytics and real-time decision-making

CDC, or Change Data Capture, is a groundbreaking capability that enables the receipt of events for every change within a Neo4j graph, whether it’s a deletion, creation, or update. The CDC feature is straightforward to set up and use and allows you to quickly and efficiently capture and replicate changes to your data without disruptions to your workflow. This real-time stream of changes is an invaluable tool for organisations that allows them to leverage the ever-evolving world of data in real-time.

At GraphAware, we wasted no time in leveraging Neo4j’s CDC feature to make Hume the very first graph analytics tool to integrate it. In a very short time, our team created a dedicated datasource component within Hume Orchestra, a module designed to merge multiple distributed data sources into a single source of intelligence. The new integration with Neo4j CDC allows the reception of events for every change from the graph database, empowering data analysts to construct additional logic based on these real-time alerts.

“Neo4j’s new capabilities enable modern law enforcement to fight more crimes and solve them faster,” says Christophe Willemsen, CTO of GraphAware. “They can react with greater agility to mission-critical events — for example, sending alerts to front-line officers when the phone number of a person of interest pings from a cellular tower near a high-risk event where a VIP is present.”

Unlocking mission-critical capability for Law Enforcement and Intelligence agencies

This integration is crucial for mission-critical capabilities in law enforcement and intelligence agencies. Neo4j CDC, integrated into Hume, empowers intelligence analysts to dynamically recompute Entity Resolution groups as new relationships of interest emerge. This ensures that their analyses always reflect the most up-to-date and relevant relationships within the graph, resulting in more precise and actionable insights.

One practical application example of this functionality is the tracking and analysis of relationships between various entities within a graph, such as licence plates and camera events. Hume can promptly alert detectives when a known drug trafficker’s licence plate crosses the border, signified as a relationship between the licence plate and an automated licence plate recognition camera event. Such real-time insights are invaluable for swift, informed action.

Intelligence analysts can also leverage this integration to create historical views of entities, tracking changes and developments over time. This historical perspective will help analysts to understand how individuals involved in criminal activities have evolved, adapted, or changed. It aids in identifying patterns, connections, and potential strategies employed by individuals or criminal organisations, Additionally, it provides a historical perspective for building a stronger case in court, understanding criminal behaviour, and making informed decisions related to surveillance and investigations. As a long-term partner of Neo4j, we at GraphAware are committed to developing the most efficient tools for graph analytics using graph databases. Together with Neo4j, we are actively working to promote the adoption of these groundbreaking technologies among the world’s most renowned intelligence agencies. Neo4j’s advanced graph database, coupled with the Hume integration of CDC, is a significant leap forward in making intelligence analysis quicker and more effective.

The integration will be available with the Hume version 2.21 release, planned for early November. Get in touch to be first to try it out!