XenonStack Recommends

Fully Managed Graph Database Solutions

Graph Database Managed Services and Strategy Consulting

Cloud-based GraphDB is a W3C-compliant enterprise-ready managed graph database. The semantic graph databases serve as the foundation for solutions that require modeling agility, data integration, relationship exploration, and cross-enterprise data publishing and consumption, as well as powering graph use cases such as identity graphs, knowledge graphs, and fraud detection.


Zero Administration

Enable provisioning and monitoring with minimal administration capabilities.


Highly Secure

With Multi-layered security Enterprises can build high levels of security.


Fully Managed

End-to-End database management with High availability and scalability capabilities.

The Graph Database Architecture

Simply the online database management system by using a graph structure for semantic queries to represent and store data.


Big Data Services




  • XenonStack Tick Bullet

    Managed Security

    • XenonStack Tick

      Basic Monitoring

    • XenonStack Tick

      24 x 7 Support




  • XenonStack Tick Bullet

    All Standard features

    • XenonStack Tick

      Managed Backup Full and Daily Snapshots

    • XenonStack Tick

      Managed Operating System Patches and Updates, Hardening, Configuration and Tuning




  • XenonStack Tick Bullet

    All Standard and Pro features

    • XenonStack Tick

      Application Monitoring and Response CPU, RAM, Disk IO, URL, and Application metrics

    • XenonStack Tick

      Advanced Enterprise Analytics and Dashboard

XenonStack Managed Services Left Image
XenonStack Managed Services Right Image

Database Management Services for Enterprises


Graph Analytics Techniques

Leverage set of technologies that use algorithms to help analysts analyze the connections between graph database entries.


Semantic approach of databases to help enterprises create relationships between related data.

Enable data analytics and relationships that would be extremely difficult or unachievable using standard analytics approaches.

Adopt database optimization techniques to reduce the cost and get the desired outcome.

Integrate a filtering system that seeks to predict and show the items that is desired by the user.

Graph database Platforms

Services to make easier for programmer, user, and machine to understand the data and to find insights.



Neo4j is a graph data platform that gives developers and data scientists the tools they need to build apps and machine learning workflows.



ArangoDB is an open-source multi-model graph database tool for creating data models for graph analytics and critical values.



JanusGraph is a graph database that can support thousands of concurrent users executing complex graph traversals in real-time.

Graph Database Usecases

Introduction to Graph Database Architecture


Introduction to Graph Database Architecture


Role of Graph Databases in Big Data Analytics

Role of Graph Databases in Big Data Analytics

Graph Analytics and Knowledge Graph Use Cases


Graph Analytics and Knowledge Graph Use Cases


Graph Analytics

Database management



OrientDB is an open-source NoSQL database management system incorporating new document and graph DBMS and standard DBMS features.

Graph Analytics

graph analytics approach helps to satisfy both the discovery and the use of patterns typically used for analysis and reporting.

Database Management services ensure enterprises are secure, operational costs are maintained and high availability of applications.


NoSQL databases store the data in the denormalized form and follow the different model to store the data depending upon requirements.