This paper discusses Franz AllegroGraph, a highly secure, semantic, RDF-based graph database available in-cloud and on-premises. Allegrograph’s focus is on ACID compliant transactional processing and OLTP, however it is often used for analytics as well. It includes a wealth of features, including distributed deployment and querying, multi-modal ingestion, multi-master replication, AI and machine learning, and natural language processing.

The product also functions as a document store with content search and full document retrieval capabilities. It automatically links structured RDF data to information within documents based on semantic concepts, allowing users to perform graph analytics across linked data within databases, document stores and CSV files. It supports property graphs and integrates with a wide variety of data science tools.

Author/s: Daniel Howard

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