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AllegroGraph

by Franz Inc. · Since 1984
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ActiveAvailable globallyCloudOn-premise
Quick facts
VendorFranz Inc.
Year launched1984
StatusActive
Location3515 Mt. Diablo Blvd. Lafayette, California 94549
Countries servedGlobal
Languages8
Integrations
Free tier
Free trial
Contact salesYES

About AllegroGraph

AllegroGraph is a semantic graph database software from Franz Inc. designed for knowledge graph solutions. It combines Knowledge Graphs for Healthcare, Neuro-Symbolic AI with AllegroGraph, and Entity-Event Knowledge Graphs so users can manage complex data relationships effectively. This platform supports advanced analytics and provides tools for representing and querying knowledge graphs. AllegroGraph is recognized for its industry-leading capabilities in graph database technology, facilitating reliable AI applications and modern data management solutions. Key capabilities: Knowledge Graphs for Healthcare Neuro-Symbolic AI Entity-Event Knowledge Graphs Industry Leading Graph Database Common Lisp Technologies Best for: organizations that need to manage and analyze complex datasets efficiently.

AllegroGraph, developed by Franz Inc., emerges as a sophisticated neuro-symbolic AI platform, serving as a horizontally distributed graph and document database designed to unlock profound insights from complex, interconnected data. Its core strength lies in its innovative neuro-symbolic AI approach, which seamlessly integrates symbolic reasoning with neural networks, fostering the development of more accurate, explainable, and trustworthy AI systems. The platform's user experience is significantly enhanced by AGWebView, a browser-based interface offering an intuitive interaction, and particularly by Gruff, its no-code graph explorer. Gruff stands out with its user-friendly design, "Time Machine" feature for temporal data exploration, and a visual query builder that empowers users, regardless of their technical expertise, to construct intricate queries without manual coding. Functionally, AllegroGraph is a multi-modal powerhouse, adept at handling RDF (Graph), Vector, and Document (JSON, JSON-LD) data, while adhering to W3C/ISO standards like SPARQL 1.1, RDFS++, SHACL, and Prolog rules. Its advanced features include Retrieval Augmented Generation (RAG) for Large Language Models (LLMs), which grounds AI outputs in factual knowledge to prevent "hallucinations," and LLMagic functions for natural language querying.

Pros & Cons

What users like
  • +Cutting-edge AI support via neuro-symbolic integration.
  • +Highly scalable and distributed graph infrastructure.
  • +No-code exploration with Gruff for business users.
  • +Focus on security and compliance in enterprise environments.
  • +Powerful semantic reasoning and standards-based modeling.
What users flag
  • Complex setup for non-technical users without guidance.
  • Limited public pricing details – enterprise-focused pricing.
  • Niche domain – may require training to fully leverage features.
  • Learning curve for advanced features like SHACL, FedShard.
  • Limited language support (appears English-only currently).

Features

Key features

Neuro-Symbolic AI capabilities with LLM integration
VectorStore for generation and storage of vectors
ChatStream for natural language queries with Graph RAG and feedback
FedShard™ patented sharding and federation for complex query acceleration
Entity-Event Knowledge Graph modeling
Multi-model database supporting JSON, JSON-LD, RDF, and OWL
Integrated Gruff browser-based Knowledge Graph Explorer
Cloud-native on Amazon Marketplace and EC2 AMIs
Fully ACID compliant with commit, rollback, and checkpoint support
Industry-leading graph database security with triple attributes
High availability and multi-master replication for global data centers

Additional features

LLM integration for Neuro-Symbolic AI workflows
VectorStore for vector generation and persistent storage
ChatStream enables natural language querying with RAG and user feedback
Patented FedShard™ for federated querying across distributed datasets
Entity-Event-based modeling within Knowledge Graphs
Multi-model support
JSON, JSON-LD documents and RDF, OWL graphs
Integrated browser-based explorer tool
Gruff
Cloud-native
deployable via Amazon Marketplace and EC2 AMIs
Cloud-hosted AllegroGraph deployments supported
100% ACID compliant with transaction features (commit, rollback, checkpointing)
Triple attribute-based graph security architecture
Multi-master replication for high availability across data centers
Online backups with point-in-time recovery and warm standby support
Dynamic and automatic indexing
all triples indexed with 7 indices
Advanced text indexing per predicate
SOLR and MongoDB integration with two-phase commit
RDF* (RDF Star) support for annotated RDF statements
SHACL support for data validation
REST-based client API support for Java, Python, RDF4J, Apache Jena, Lisp, C#, Scala, Clojure, Perl, Ruby
SMP (symmetric multiprocessing) based architecture with optimized memory and processor use
Column-based compression for improved performance and reduced disk paging
Server-side stored procedures using JavaScript API
JIG (JavaScript Interface for Graph traversal) for advanced exploration
Soundex support for phonetic text indexing
User-defined indices configurable by system administrators
Built-in full-text search functionality
Triples-level security enforcement with custom security filters
Cloud-hosted AllegroGraph available via Amazon and Azure Marketplaces

Pricing

Free trial
Free version
Request a quote
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Countries & Languages

Global
Countries served
8
Interface languages
15
Billing currencies

Interface languages

EnglishFrenchGermanSpanishItalianPortugueseJapaneseChinese

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇯🇵JPY🇦🇺AUD🇨🇦CAD🇨🇭CHF🇨🇳CNY🇸🇪SEK🇳🇴NOK🇰🇷KRW🇮🇳INR🇷🇺RUB🇧🇷BRL🇿🇦ZAR

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