Change Password

Input error
Input error
Input error
Submit

High Performance

Integrated with high-density parallel graph computing engine that enables microsecond queries on any graph sizes and ultra deep (> 10 Steps) queries in realtime

Microsecond and Ultra-Deep Query

High Density Computing

HDC Algorithm

Supports large collections of comprehensive graph algorithms, such as ranking, connectivity, centrality, similarity, community detection, graph embedding and more. The key thing is that we have engineered all of these algorithms to run with High-Density Computing Technology. And, this is critical for complex and large graph dataset computing needs.

  • High Density Computing
  • Reinvented and Optimized
  • 10-10,000x Faster
  • Online Installation

HTAP Cluster

Supports HTAP high-availability cluster deployment. Users can deploy Hybrid Transactional & Analytical Processing capabilities all in one cluster. The cluster offers decentralized services and an auto-election system, which means even a portion of the cluster is offline, the business will remain online and available.

  • High Availability Service
  • Efficient Election Strategy
  • Dynamic Role Configuration
  • Remote Disaster Recovery

Fast Deployment

Supports one-click deployment, making virtualization, cloudification and micro-service architecture easy to realize. The operations are easy, deployments are fast and configurations are sweat-free.

  • Container Support
  • Micro Service
  • Cloud Native
  • Simplistic Configuration
  • Easy Operation
  • Fast Implementation

Fast Migration

Ultipa Graph comes with Ultipa Connectors to facilitate migrating data from any sources such as Oracle, Mysql, Hive or other graph databases. Ultipa Connector provides high performance I/O to transfer data with simple and straightforward configurations.

  • Simple Configuration
  • Fast Data Transfer
  • Rich Data Source Support

Knowledge Graph & RT Computing

Knowledge graph is a term that's populated by Google as the search engine giant was building and improving the world's largest search infrastructures. The rationale behind Google is simple -- every search is driven by an intention, the keyword being searched is the surface of such intention, but the results returned and orchestrated by the search engine can be elevated with the help of knowledge graph instead of a mere page-rank of the matching URLs (of course the whole ranking thing can be further complicated with AdWords and things like that... and in the case of Baidu, the whole ranking system can be scrambled so much by factors like which advertiser is paying more for the top spots and user experience can be further damaged consequentially).

Realtime Call Fraud Detection

Knowledge graph is a term that's populated by Google as the search engine giant was building and improving the world's largest search infrastructures. The rationale behind Google is simple -- every search is driven by an intention, the keyword being searched is the surface of such intention, but the results returned and orchestrated by the search engine can be elevated with the help of knowledge graph instead of a mere page-rank of the matching URLs (of course the whole ranking thing can be further complicated with AdWords and things like that... and in the case of Baidu, the whole ranking system can be scrambled so much by factors like which advertiser is paying more for the top spots and user experience can be further damaged consequentially).

Ultipa KG

Ultipa Knowledge Graph (also known as Ultipa Manager) is the one-stop-shop solution for unified graph database, cluster, dataset, schema, and account configuration management. It offers unprecedented smooth and simplistic graph visualization and data management.