Skip to content

AllegroGraph

What is AllegroGraph?

From the AllegroGraph website:

AllegroGraph is a Horizontally Distributed, Multi-model (Document and Graph), Entity-Event Knowledge Graph technology that enables businesses to extract sophisticated decision insights and predictive analytics from their highly complex, distributed data that can't be answered with conventional databases.

AllegroGraph is developed by Franz Inc. and is designed for enterprise-scale knowledge graph applications with a focus on semantic AI and neuro-symbolic capabilities.

Key Features

AllegroGraph provides several capabilities relevant to Enterprise Knowledge Graph implementations:

  • Multi-Model Architecture: Integrates document and graph data models in a single platform, enabling flexible data representation across structured and semi-structured sources.

  • Entity-Event Knowledge Graphs: Uses an entity-event data model that provides temporal context and event-driven insights, particularly valuable for use cases requiring complex event processing and pattern discovery.

  • Neuro-Symbolic AI Integration: Combines symbolic reasoning (rules, ontologies, logic) with neural networks and vector embeddings, supporting both traditional SPARQL queries and modern GenAI/LLM integration patterns.

  • Horizontal Scalability: FedShard™ technology enables distributed query processing and horizontal scaling across multiple nodes, addressing large-scale enterprise data challenges.

  • SPARQL 1.1 Compliance: Full support for SPARQL 1.1 queries, including federated queries, enabling integration across heterogeneous data sources.

  • Reasoning and Inference: Built-in RDFS++ reasoning with support for custom rule sets, enabling semantic inference over enterprise ontologies.

  • Vector Store Capabilities: Integrated vector storage for semantic search, retrieval-augmented generation (RAG), and embedding-based similarity operations alongside traditional graph queries.

  • Triple-Level Security: Fine-grained access control at the triple level, essential for governed enterprise environments where data access must be controlled by context and provenance.

Benchmark Status

Benchmarking of AllegroGraph is planned for future releases of this benchmark test suite.

The planned evaluation will focus on:

  • LUBM Extended: Testing reasoning performance and scalability with inference rules
  • WatDiv Extended: Evaluating complex query patterns and selectivity across diverse workloads
  • LDBC Semantic Publishing Benchmark: Assessing concurrent workload performance in realistic enterprise scenarios

If you are interested in contributing benchmark results or have specific use-case-driven benchmarking requirements for AllegroGraph, please contact us.