Today’s government agencies are beset by increasing complex challenges within a more interconnected and ever-shifting political landscape, both at home and abroad. The technology solutions that will ultimately overcome and get ahead of these challenges harness the increasing number and power of data-driven connections.
There’s no better technology to meet these challenges than a native graph database technology such as Neo4j.
Governments around the world already use graph technology to drive connections, fight crime, prevent terrorism, improve fiscal responsibility and provide transparency to their citizenry.
Leveraging Connections in Data for Government Agencies
Discover how graphs are empowering government in federal agencies and in the public sector.Watch the video
How NASA Finds Critical Data through a Knowledge Graph
Learn about the power of transforming data into knowledge with Neo4j.Read now
Graphs & the Police
Find out how graph technology is enabling law enforcement agencies to analyze connected data at scale.Learn More
Watch an overview of Neo4j and and discover how a connected approach towards data applies for different use cases within Government, such as e-government, security, health care, law enforcement, and treasury.Read more
Increase Tax Revenue
Graph technology essential for rooting out tax evasion efforts – often hidden beneath complex and obscured layers of offshore shell companies – whether at home or abroad.
Increase Citizen Engagement
Improved social services and program transparency lead to a more engaged and informed citizenry at all levels of federal, regional and local government.
Graph-based tools are foundational in modern fraud detection, terrorism prevention and anti-money laundering (AML) activities.
No database technology handles complex queries as efficiently and fast as a native graph database – and in sensitive intelligence or military scenarios, every millisecond makes a difference between victory or failure.
Ability to Use Most Recent Data
No batch processing when querying real-time transaction data.
Neo4j easily ingests and processes connections from multiple data sources, solving problems with data stored in disparate silos across – or within – government agencies.
Native Graph Database
Unlike relational databases, Neo4j stores interconnected user and purchase data that is neither purely linear nor hierarchical. Neo4j’s native graph storage architecture makes it easier to decipher citizen or intelligence data by not forcing intermediate indexing at every turn.
Neo4j’s versatile property graph model makes it easier for government agencies to evolve real-time solutions – whether military, financial or scientific – as data types and sources change.
Performance & Scalability
Neo4j’s native graph processing engine supports high-performance graph queries on large user datasets to enable real-time decision making at every level of government.
The built-in, high-availability features of Neo4j ensure user data is always available to your mission-critical applications.