Blog Posts

Understanding the world around us increasingly involves Artificial Intelligence. Once the stuff of elite corporations, the barrier has now dropped substantially, and practically anyone can get in on the game! Check out this episode of DMRadio to learn more, as Host @Eric_Kavanagh interviews Jans Aasman, Franz Inc. and Robert Nishihara, Anyscale. Listen to the recording.

Gruff can be embedded in any web page to use Gruff inside your own web site or web application. The file embedding.html in the Gruff installation folder provides a complete example of this. Display that file in a web browser to see the complete instructions for setting everything up. That same file serves as an … Continue reading Embedding Gruff In a Web Page →

AllegroGraph Named 2022 “Trend Setter” by Database Trends and Applications AllegroGraph has been named a 2022 Trend Setting Product by Database Trends and Applications. Additionally, AllegroGraph was recently named “Best Knowledge Graph” by KMWorld Readers’ Choice award voting. “The world is changing rapidly, and so are enterprise data requirements. Whether it is anticipating supply chain … Continue reading AllegroGraph Named 2022 “Trend Setter” →

The new year will bring us many exciting developments in data-enabling technologies including the merging of artificial intelligence with quantum computing and graph neural networks, which will power extremely complex, next-generation algorithms. Knowledge graphs will become lego-like with the ability to be plugged into diverse applications. With mounting concern over social media sites using personal data, … Continue reading Predictions: Quantum AI, Graph Neural Networks, and Personal Data Pods →

Franz Inc. has clearly stated that all of its products including: AllegroGraph, Allegro CL, Allegro NFS and Gruff have no exposure to the security vulnerability from Log4j. Franz’s products have never used Log4j, unlike other Java based graph databases and products that are vulnerable to this security exploit. Apache Log4j is a Java-based logging utility … Continue reading Franz Inc. Announces AllegroGraph Has No Log4j Security Exposure →

AllegroGraph enables users to export data out of their Knowledge Graph and perform graph analytics with Apache Spark, one of the most popular platforms for large-scale data processing. Users immediately gain machine learning and SQL database solutions as well as GraphX and GraphFrames, two frameworks for running graph compute operations on data. A key benefit … Continue reading Graph Analytics with AllegroGraph and Apache Spark →

AllegroGraph also wins Finalist position for “Best Cognitive Computing and AI Platform”. Franz Inc., is proud to announce it has been named the “Best Knowledge Graph” in the 2021 KMWorld Readers’ Choice Award voting. Additionally, AllegroGraph was considered a “Finalist” in the category of Best Cognitive Computing and AI platforms for the Readers’ Choice awards. … Continue reading Franz’s AllegroGraph Named “Best Knowledge Graph” by KMWorld Readers’ Choice →

Nowadays, enterprises are starting to adopt streaming pipelines to provide insights that adapt to new data in real-time. This goes beyond traditional approaches that operate on data batches. Compared to batch processing, the advantage of streaming is obvious. For example, in the manufacturing area, analyzing data from various sensors in real-time allows a manufacturer to spot problems … Continue reading Graph Streaming Pipelines with Kafka and AllegroGraph →

AllegroGraph 7.2, provides organizations with essential Data Fabric tools, including Graph Neural Networks, Graph Virtualization, Apache Spark graph analytics, and streaming graph pipelines. These new capabilities exemplify AllegroGraph’s leadership in empowering data analytics professionals to derive business value out of Knowledge Graphs. Graph Neural Networks With AllegroGraph 7.2, users can create Graph Neural Networks (GNNs) … Continue reading AllegroGraph v7.2 – Now Available (GNN, Virtual Graphs, Spark, and Kafka) →

Organizations can combine GNN reasoning capabilities with classic semantic inferencing in Knowledge Graphs to reach the next level AI and predict any business event based on context at scale. The ability for machines to reason — not just identify patterns in massive data amounts, but make rule or logic based inferences on domain specific knowledge … Continue reading Fuse Graph Neural Networks with Semantic Reasoning to Produce Complimentary Predictions →