Graph Database Platforms
Services to make easier for programmer, user, and machine to understand the data and to find insights.
JanusGraph is a scalable graph database optimised for storing and querying graphs. JanusGraph is a transactional database that can support thousands of concurrent users executing complex graph traversals in real-time.
JanusDB supports leading storage vendors.
With Janusgraph based solutions enterprise can build and integrate data visualization capabilities.
Developing linear scalability and performance at Scale.
Simply the online database management system by using a graph structure for semantic queries to represent and store data.
Solutions for enterprises to model data relationships at scale with tremendous flexibility and help analyze big transactional data in real-time.
Adoption Strategy
Leverage semantic graph databases for agility, data integration, relationship exploration, and cross-enterprise data publishing and consumption.
Enable Enterprises to store and query data outside the traditional structures found in relational databases.
Integrate a filtering system that seeks to predict and show the items that is desired by the user.
Database Management services help enterprises with data security, data integrity, concurrency, and uniform data administration procedures.
Services to make easier for programmer, user, and machine to understand the data and to find insights.
Amazon Neptune
Fully managed database service powering graph use cases such as identity graphs, knowledge graphs, and fraud detection.
Azure Cosmos DB Gremlin
Graph database service to store massive graphs with billions of vertices and edges.
Neo4j Graph
Enterprise-strength graph database that combines native graph storage, advanced security, scalable speed-optimized architecture, and ACID compliance.
Enterprise Data Strategy
Database Management
DBaaS
Data Denormalization
Enterprise data strategy shows an organization's ability to see how it can leverage its data to effectively enable decision and reporting systems, which impacts the business Outcome.
Unifies data ecosystems at scale across any cloud for more access and control over data.
Database as a service is a managed cloud computing service offering model that enables users to set up, operate, manage and scale with some form of access to a Database.
Denormalization helps to reduce some types of problems with database queries that combine data from different tables into a single table.
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