According to news on November 1, 2024, on October 30, 2024, international analyst firm Bloor launched a report. The report points out that Ultipa, founded in 2019, is young but has already set up offices in Europe, Asia, and the United States and has a customer base in retail banking.

In addition to its youthfulness, Ultipa's most significant differentiating advantage lies in its performance. In terms of graph query languages, its custom query language "Ultipa Query Language" (UQL) is more intuitive and easier to use than that of TigerGraph and others. In fact, UQL is actually closer to Cypher. An adapter for converting from Cypher to UQL is provided. Additionally, interestingly, Ultipa describes its database as "semi-schematic," meaning it can be used with or without a schema.Speed is also one of Ultipa's main advantages. Through data comparison, Ultipa is much faster than JanusGraph and Neo4j, and significantly faster than TigerGraph.

As an analysis institution with extensive influence and authority in the industry, Bloor's two reports released this time have attracted high attention from many industry insiders. The reports deeply analyze the performance and achievements of Ultipa in multiple aspects, providing an important reference for people to fully understand Ultipa.Research:

Ultipa the Powerhouse of the graph world

"Ultipa is a highly performant property graph database that leverages an in-memory parallel graph computing engine. It has been designed and built from the ground up to provide deep search and analytic capabilities that operate in real-time via an intuitive and easy to use query interface. This can be used to support the creation and use of knowledge graphs, to accelerate querying on big data sources (enhancing their visibility), and more. To wit, some Ultipa customers are currently using it to process hundreds of millions of transactions per day, in real-time. It is also translytic: it can be used for both transactional and analytical processing, as well as for HTAP (Hybrid Transactional/Analytical Processing). Moreover, Ultipa is particularly notable for – and puts particular emphasis on – its ability to support AI, and especially XAI (“eXplainable AI”). For instance, the degree of performance it provides can make a very significant difference to the amount of time it takes to generate your AI models, thus allowing you to act on the predictions they make much more quickly.  What is more, by analysing and discovering key features of your network and communicating them to downstream AI and modelling applications, it can be used to drive model explainability and improve model accuracy. Ultipa’s latest major update includes an overhaul of the product’s architecture, referred to as Ultipa Powerhouse, that pushes the product’s strengths even further. Its two headline features are horizontal scalability and low memory consumption, but as we will see, these are not the only benefits this new architecture offers. In addition, Ultipa is now natively available in the cloud (as well as on-prem) via AWS, with Azure and Google Cloud also supported. Various APIs are provided, as are Ultipa Deployer for “one-click deployment” and Ultipa Transporter for data import and export."

Building AI using Ultipa Graph

"Graph databases have grown increasingly popular over recent years, as more and more relevant use cases are found that are difficult or even practically impossible to address with relational database management systems (RDBMS). This is because graph databases centre the interconnected nature of real-world data even more so than RDBMS, such that when you care about modelling and querying anything more complicated than a simple, direct relationship, at scale, you had best turn to graph. The aforementioned use cases include social network analysis, tracking complex medical (often drug) interactions, semantic analysis, and AI/ML (machine learning).
The latter is particularly interesting given its recent rise in popularity, both over the last several years as a general trend and the surge that has occurred more recently as hype for generative AI (which is to say, AI powered by OpenAI and other large language models) has snowballed. It is also the primary subject of this paper, in which we intend to examine the interplay that can occur between graph and AI technology, as well as provide some context for the challenges faced in the graph space. We will also highlight a particularly effective example of addressing this interplay, namely Ultipa, a relatively recent addition to the graph scene."

About Ultipa:

Ultipa is a Silicon Valley-based next-generation graph XAI and database company, extending its operations in EMEA and APAC. The team at Ultipa firmly believes that the fusion of graph augmented intelligence and XAI is a catalyst for empowering enterprises in their digital transformation journey. This process necessitates the convergence of data intelligence and infrastructure revolution. 

Ultipa builds the leading graph XAI and database products, enabling the swift devlopment of killer applications in various domains such as Real-time Fraud Detection, Asset Liability Management (ALM), Liquidity Risk Management (LRM), Low-code Graph-augmented AI+BI Platform, Data Governance (RDA), and more. Ultipa has garnered support from prestigious sovereign wealth funds and venture capital firms worldwide.