+30 years of experience in the IT. Expert on information/content management and graph databases
What do you like best about the product?
Unparalleled performance. The ability to execute graph algorithms in real-time, with no need to create a sub-graph projecting in memory. It is a schema-full graph database designed for easy data consistency maintenance, but the query language is semi-schema, eliminating the need to explicitly use node type or edge type. The query language is both powerful and easy to learn.
Ultipa Graph provides a tool named Ultipa Manager: this is a web application used to manage and administer the entire database. It is also a tool to execute database queries and graph algorithms. This tool offers graph visualizations such as force-directed graphs and 3D layouts. It can be configured and extended so that even business users can harness its power. Ultipa Graph provides a set of SDKs to easily implement client applications using Python, C++, Go, NodeJS, and Restful API. These SDKs also speed up the integration between Ultipa Graph and other applications/services.
I use Ultipa Graph, via Ultipa Manager daily. I like it so much. To create proof oc concepts and to analyze data I use Python and Jupyter Notebook. It is easy to implement update, analyze data and start graph analytics on the graph data.
Ultipa Graph provides a tool named Ultipa Manager: this is a web application used to manage and administer the entire database. It is also a tool to execute database queries and graph algorithms. This tool offers graph visualizations such as force-directed graphs and 3D layouts. It can be configured and extended so that even business users can harness its power. Ultipa Graph provides a set of SDKs to easily implement client applications using Python, C++, Go, NodeJS, and Restful API. These SDKs also speed up the integration between Ultipa Graph and other applications/services.
I use Ultipa Graph, via Ultipa Manager daily. I like it so much. To create proof oc concepts and to analyze data I use Python and Jupyter Notebook. It is easy to implement update, analyze data and start graph analytics on the graph data.
What do you dislike about the product?
This is a relatively new graph database, and the community of users is just starting. However, this is not a significant issue because Ultipa's customer support provides very fast answers.
What problems is the product solving and how is that benefiting you?
Ultipa Graph is perfect for implementing various use cases where graph databases excel, including ultimate beneficial owner analysis, product recommendations, entity resolution, fraud detection, and anti-money laundering.
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