Graph Database Developers
We can help you to successfully implement graph databases solutions for your applications.
Graph database solutions
At Intech Solutions, we empower government, enterprises and innovative organisations with graph development solutions that harness the power of graph technology. Our expert team specialises in building advanced graph databases to model natural relationships, accelerate connected data queries, and provide flexible, scalable architectures for diverse industries. From fraud detection and risk management to personalised recommendation engines, social network analytics, knowledge graphs, and optimised supply chain operations, our tailored solutions drive transformative insights and measurable business outcomes. We combine industry-leading platforms and open-source strategies to deliver exceptional performance and innovation today.
Graph database implementation
Australia & New Zealand
Discover how Intech Solutions assisted the Australian Tax Office in implementing graph technology to aid in curbing tax avoidance and fraud.
Australian Financial Review
Our graph database developers can help you to successfully implement your project
Graph database solutions are popular in a variety of high-impact use cases. Leverage our graph database developers to successfully implement your project. Some prominent use cases include:
Fraud Detection & Risk Management
Graph databases excel at uncovering complex patterns in financial data. Banks and payment networks use graphs to detect credit card fraud, money laundering rings, or cybersecurity threats by tracing connections among accounts, transactions, and entities.
Recommendation Engines
Many Fortune 500 retailers, streaming services, and content platforms use graph databases to power recommendation systems
Social Network and Customer 360
Graph technology is ideal for analyzing social networks and customer relationships. Companies use graphs to map customer connections, influencer networks, and communication patterns.
Knowledge Graph and AI Applications
A growing use case is building enterprise knowledge graphs – comprehensive networks of company knowledge linking data from many sources. These graphs drive better search engines, chatbots, and AI by providing contextual knowledge.
Graph Visualisation
Graph databases are used to optimize complex operations networks. In supply chain management, graphs link suppliers, warehouses, shipments, and products to quickly pinpoint disruptions or optimize routes.
Why graph databases are your best solution
- Show Connections Clearly: Think of a graph database like a map of a social network. Each person is a dot, and their friendships are lines connecting the dots. This way, it’s very easy to see how everything is connected without having to dig through lots of data.
- Find Relationships Fast: In a graph database, finding out how one piece of data is related to another is quick. It’s like being able to instantly see who your friends-of-friends are, without needing to search through every record one by one.
- Easy to Expand and Change: Graph databases are flexible. If you want to add new types of connections or new pieces of data, you can simply add more dots and lines without having to redo the entire system. It’s like updating your family tree or social network without starting from scratch.
Legacy databases are ill-equipped to scale up to today’s real-world requirements, which call for a system that can perform many hops efficiently and in parallel to deliver sub-second query performance on big data.
Key-Value Database
MULTIPLE SCANS OF MASSIVE TABLE REQUIRED
- High fluid schema/no schema
- High performance for simple transactions
- Poor performance for deep analytics
Relational Databases
COMPLEX, SLOW, TABLE JOINS REQUIRED
- Rigid schema
- High performance for transactions
- Poor performance for deep analytics
Third generation graph databases are a new kind of graph database, a native parallel graph database purpose-built for loading massive amounts of data (terabytes) in hours and analysing as many as 10 or more hops deep in to relationships in real-time. Graph databases support transaction as well as analytical workloads, is ACID compliant, scales up and out with database sharding. Opengraph supports applications such as fraud detection, customer360, IoT, AI and machine learning to make sense of ever-changing big data, and is used by customers including Intuit, China Mobile, Wish and Zillow.
Graph Database
PRE-CONNECTED BUSINESS ENTITIES — NO JOINS NEEDED
- Designed for performance and scalable deep analysis
Graph database experts for
these industries and applications
Graph databases are prevalent across many industries, especially where understanding complex relationships in data is critical. Our graph database experts can help with sectors adopting graph DB technology including:
Financial Services
Banks, insurers, and financial institutions were early adopters due to the need to detect fraud and manage risk in highly connected data. The BFSI sector heavily uses graph databases for fraud detection, anti-money laundering, and risk analysis
Technology & Social Media
Tech companies have long utilised graph models. Social networks like Facebook, LinkedIn, and Twitter were among the first adopters, using graph databases to map connections between people.
Retail & E-Commerce
Retailers and e-commerce giants employ graph databases for recommendation engines and supply chain management. Graph-based recommendation systems help analyse customer purchase histories and product relationships to improve personalisation.
Healthcare & Life Sciences
Graph technology is valuable for healthcare data integration and research. Hospitals, pharma, and biotech firms use graph databases to connect patient records, research literature, and genomic data.
Telecommunications & IT
Telecom providers and IT organizations adopt graph databases to model network topology, IT infrastructure, and dependencies. Graphs allow telecoms to map equipment, connections, and customer networks for better network optimisation and troubleshooting.
Government & Public Sector
Governments and intelligence agencies use graph databases for investigations, fraud prevention, and knowledge management. Graphs can link people, organizations, and events from disparate data sources, aiding in fraud detection, national security, and law enforcement analysis.
Talk to our graph database specialists
about your project.
Speak to our graph database specialist / consultant about how your organisation can leverage Intech’s ultra-fast graph database solutions.
Intech’s IQ Office solution was embedded into the Databank software used by our clients to prepare and encrypt their data prior to upload. This led to a material reduction in risk for Westpac Databank by reducing the potential for formatting errors in the data preparation process and therefore maximising match rates.
Westpac Databank
Sydney
We are really glad we chose Intech as our partner. The project was complex with short timelines, high data volume and critical performance requirements, yet Intech handled each step well – delivering an excellent outcome for us and the Insurance industry as a whole.
illion
Australia