AllegroGraph
allegrograph.com
What it is
AllegroGraph is a semantic graph database for building knowledge graphs and integrating complex data. It combines graph data with vector storage, symbolic reasoning and large language model integration. GraphTalker accepts natural-language questions about knowledge graphs and returns verified answers through an iterative, agent-driven process. Supported technologies include RDF, OWL, SPARQL, SHACL and Prolog rules, alongside reasoning. FedShard provides horizontal sharding and federation, combining query results from multiple machines. Analytics include geospatial, temporal and social-network analysis. Listed integrations include Solr, MongoDB and REST-based clients for Java, Python, RDF4J, Apache Jena and Lisp. The Free edition costs nothing and is limited to up to 5 million triples. Enterprise has no listed price and specifies unlimited triples with no server limit. AllegroGraph is available as a download or through cloud hosting, including AWS Marketplace and Azure Marketplace. The server runs natively on Linux x86-64; Windows or macOS use is recommended through a Linux virtual machine or Docker container.
Spec sheet
- What it does
- AllegroGraph is a persistent graph, vector and document database for enterprise knowledge graphs and AI applications.Read 15 Oct 2026 · allegrograph.com
- Product
- AllegroGraph is a horizontally scalable semantic graph database for building Knowledge Graphs and integrating complex data.Read 28 Sep 2026 · allegrograph.com
- Intended users
- The maker identifies use cases including Neuro-Symbolic AI, pharma discovery, healthcare, Customer 360, supply-chain logistics, Knowledge Graphs, and Data Fabric.Read 28 Sep 2026 · allegrograph.com
- Deployment
- The server runs natively on 64-bit Linux; Windows and macOS users can use hosted service, Docker, WSL or a Linux virtual machine.Read 15 Oct 2026 · franz.com
- Integrations
- Documented integrations include MongoDB, Solr, Kubernetes, Docker, AWS and Azure marketplaces, plus Prometheus/Grafana monitoring.Read 15 Oct 2026 · allegrograph.com
- Security
- The editions comparison lists triple-level security, encryption in transit and at rest, encrypted backups, role-based access control, IP allowlists, and audit logs.Read 28 Sep 2026 · allegrograph.com
- Support
- Franz states that it provides ongoing technical support and product maintenance for AllegroGraph customers.Read 15 Oct 2026 · allegrograph.com
- Headquarters
- Lafayette, California, USARead 23 Sep 2026 · allegrograph.com
- Founded
- 1984Read 23 Sep 2026 · allegrograph.com
- Analytics
- The product supports geospatial, temporal, and social-network analytics.Read 28 Sep 2026 · allegrograph.com
- Client APIs
- Official clients are provided for Java, Python and Lisp, with REST-based access and an agtool command-line client.Read 15 Oct 2026 · franz.com
- Company compliance
- Franz Inc. states that it is SOC 2 certified and follows ISO/IEC 12207 where applicable to software development processes.Read 28 Sep 2026 · allegrograph.com
- Company founded
- LinkedIn lists Franz Inc. as founded in 1984.Read 15 Oct 2026 · linkedin.com
- Company headquarters
- Franz Inc. is headquartered in Lafayette, California.Read 15 Oct 2026 · linkedin.com
- Company legal name
- Crunchbase identifies the legal name as Franz Inc.Read 15 Oct 2026 · crunchbase.com
- Company ownership
- Crunchbase describes Franz Inc. as a private, for-profit company founded by John Foderaro and Kevin Layer.Read 15 Oct 2026 · crunchbase.com
- Company size
- LinkedIn lists Franz Inc. in the 11–50 employee size range.Read 15 Oct 2026 · linkedin.com
- Documentation depth
- The documentation index covers administration, query languages, reasoning, security, replication, ETL/data integration and examples.Read 15 Oct 2026 · agraph.franz.com
- Entity-event modeling
- The database provides entity-event knowledge graph modeling for representing entities, events and their relationships.Read 15 Oct 2026 · allegrograph.com
- FedShard
- Patented FedShard horizontally shards and federates data to accelerate complex queries and entity-event knowledge graphs.Read 15 Oct 2026 · allegrograph.com
- Free edition limit
- The Free edition is limited to up to 5 million triples; Enterprise lists unlimited triples and no server limit.Read 28 Sep 2026 · allegrograph.com
- Graph scale
- The platform is designed to scale to billions of triples, quads and documents using disk storage and memory management.Read 15 Oct 2026 · allegrograph.com
- GraphRAG
- GraphRAG capabilities support retrieval-augmented generation over knowledge graphs.Read 15 Oct 2026 · allegrograph.com
- GraphTalker
- GraphTalker provides a natural-language MCP interface that explores schemas, generates and validates queries, and explains answers.Read 15 Oct 2026 · allegrograph.com
- Gruff
- Gruff is an integrated browser-based visual graph explorer and no-code SPARQL/Prolog query builder.Read 15 Oct 2026 · gruff.allegrograph.com
- High availability
- Enterprise features include multi-master replication, warm standby, online backups and point-in-time recovery.Read 15 Oct 2026 · allegrograph.com
- Industry recognition
- Franz said Gartner identified AllegroGraph as a neuro-symbolic AI vendor in April 2026 and Franz as a context-graph sample vendor in its 2026 Hype Cycle for Agentic AI.Read 15 Oct 2026 · allegrograph.com
- Licence
- AllegroGraph is closed-source proprietary commercial software; the free edition is a limited proprietary tier.Read 15 Oct 2026 · en.wikipedia.org
- Limit: cost
- A G2 reviewer said solving difficult problems requires a substantial budget.Read 15 Oct 2026 · g2.com
- Limit: free tier
- A G2 reviewer wanted the full product to be available free rather than only the capable limited edition.Read 15 Oct 2026 · g2.com
- Limit: hosted service
- A G2 reviewer wanted a fully hosted platform and found working directly with AWS difficult.Read 15 Oct 2026 · g2.com
- Limit: Prolog examples
- A G2 reviewer requested more examples for using AllegroGraph's Prolog-based AI language.Read 15 Oct 2026 · g2.com
- Native operating system
- AllegroGraph Server runs natively on Linux x86-64; the documentation recommends a Linux virtual machine or Docker container for Windows or macOS.Read 28 Sep 2026 · gruff.allegrograph.com
- Neuro-symbolic AI
- The product combines LLM integration with symbolic rules and reasoning for neuro-symbolic AI workloads.Read 15 Oct 2026 · allegrograph.com
- Notable news
- Franz announced AllegroGraph 9.0 with GraphTalker on May 4, 2026.Read 15 Oct 2026 · allegrograph.com
- Praise: documentation
- A G2 reviewer described the product as well documented, with clear examples and straightforward operation.Read 15 Oct 2026 · g2.com
- Praise: scalability
- A G2 reviewer praised FedShard for providing the scalability needed for a knowledge-graph deployment.Read 15 Oct 2026 · g2.com
- Praise: support
- A G2 reviewer called the technical-support team exceptionally responsive, thorough and insightful.Read 15 Oct 2026 · g2.com
- Praise: visualization
- A G2 reviewer liked Gruff's no-code graph visualization and point-and-click SPARQL query building.Read 15 Oct 2026 · g2.com
- Python SDK
- The Python API creates, queries and maintains RDF data, emulates RDF4J and includes tutorials for SPARQL, JSON-LD, reasoning and federated repositories.Read 15 Oct 2026 · agraph.franz.com
- Rating on G2
- 5 out of 5 from 3 eligible reviews; G2 says there are too few reviews for buying insight.Read 15 Oct 2026 · g2.com
- Rating on TrustRadius
- 5 out of 10 from 2 reviews.Read 15 Oct 2026 · trustradius.com
- Scalability
- FedShard provides horizontal sharding and federation, combining query results from multiple machines.Read 28 Sep 2026 · allegrograph.com
- Security controls
- Security features include triple-level security, role-based access control, IP allowlists and audit logging.Read 15 Oct 2026 · allegrograph.com
- Self-hosting
- Downloads include RPM and tar archives, Docker images and Kubernetes multi-master replication examples.Read 15 Oct 2026 · franz.com
- Standards
- It supports W3C/ISO standards including RDF, JSON-LD, SPARQL 1.2, OWL reasoning and SHACL.Read 15 Oct 2026 · allegrograph.com
- Standards and reasoning
- The product page lists RDF, OWL, SPARQL, SHACL, Prolog rules, and reasoning among its supported technologies.Read 28 Sep 2026 · allegrograph.com
- Transactions
- AllegroGraph provides ACID transactions with commit, rollback and checkpoint operations.Read 15 Oct 2026 · allegrograph.com
- TrustRadius pricing status
- TrustRadius lists no AllegroGraph pricing plans, while indicating that a free version and free trial are available.Read 15 Oct 2026 · trustradius.com
- Vector storage
- VectorStore supports generation and storage of vectors, with vector storage listed for Enterprise editions and Enterprise Cloud.Read 15 Oct 2026 · allegrograph.com
Plans and prices
Free Free Up to 5 Million Triples Read 28 Sep 2026 · allegrograph.com
Free Edition Free up to 5 million triples · no server limit stated Read 15 Oct 2026 · allegrograph.com
Enterprise Priced on request Customized quote; hourly marketplace pricing Unlimited; no server limit Read 28 Sep 2026 · allegrograph.com
Enterprise Edition Priced on request hourly or annual subscriptions; marketplace hourly pricing unlimited triples · no server limit Read 15 Oct 2026 · allegrograph.com
Strong points and limits
Strong points
- Free edition supports up to 5 million triples.
- Includes RDF, OWL, SPARQL, SHACL and Prolog.
- FedShard supports sharding and query federation.
- Offers geospatial, temporal and social-network analytics.
- Download and cloud-hosted deployment options are listed.
Limits
- Free edition is limited to 5 million triples.
- Server runs natively only on Linux x86-64.
- Enterprise pricing is a customized quote.
Who it suits
AllegroGraph suits teams building knowledge graphs or integrating complex data, including the listed pharma discovery, healthcare, Customer 360 and supply-chain use cases. Its reasoning, analytics and integration options also suit users working with semantic data across multiple systems.
AllegroGraph in depth
Read the full write-up
Overview
AllegroGraph is a semantic graph database for organizations that need to connect complex data and build Knowledge Graphs. It suits teams working with semantic standards, reasoning or neuro-symbolic AI, but its Linux-based server deployment and the Free edition’s 5-million-triple ceiling deserve attention before adoption.
Its breadth is the draw: graph data, vector storage, symbolic reasoning and LLM integration sit alongside federation and analytics. That makes AllegroGraph a more substantial choice than a basic RDF store, though teams should match the Enterprise offering’s custom pricing and deployment model to their needs.
Key features
Semantic data and reasoning
AllegroGraph supports RDF, OWL, SPARQL, SHACL and Prolog rules, with semantic reasoning and ontology modeling. SPARQL and Prolog are its query languages. This standards-oriented toolkit is a strong fit for teams that need structured knowledge and rule-based inference; the import options, including RDF formats as well as JSON, JSONLines and CSV, accommodate varied source data.
Natural-language access and AI
GraphTalker takes natural-language questions about Knowledge Graphs and returns answers through an iterative, agent-driven process intended to verify them. Combined with vector storage, symbolic reasoning and LLM integration, this positions the product for neuro-symbolic AI work. The stated verification approach is useful, but it does not remove the need to assess whether the system fits a particular application.
Federation, analytics and integrations
FedShard provides horizontal sharding and federation, combining query results from multiple machines. That matters when data and queries need to span servers rather than remain on one machine. Geospatial, temporal and social-network analytics extend its use beyond graph storage, while Solr and MongoDB integrations and REST-based clients for Java, Python, RDF4J, Apache Jena and Lisp give development teams several connection paths. Graph visualization is also supported.
Security and support
The editions comparison includes triple-level security, encryption in transit and at rest, encrypted backups, role-based access control, IP allowlists and audit logs. Franz says it is SOC 2 certified and follows ISO/IEC 12207 where applicable to its software development processes. Technical support is provided by email; Franz says its support team averages 20 years with the company and more than 20 years in the software industry.
Pricing
AllegroGraph uses a freemium model. The Free plan costs nothing and supports up to 5 million triples, making it a practical way to evaluate the product or serve a bounded dataset. That cap is the key constraint for larger or growing knowledge graphs.
Enterprise has custom pricing, billed as a customized quote, with hourly marketplace pricing also offered. It includes unlimited triples and no server limit, which addresses the Free edition’s main capacity restriction and suits deployments that need to scale across servers. Choose it only after confirming the quote and marketplace terms fit the project budget.
Platforms
AllegroGraph is offered as a download or through cloud hosting, including AWS Marketplace and Azure Marketplace options. Although the platform lists Linux, macOS, Windows, web, API and self-hosted availability, AllegroGraph Server runs natively on Linux x86-64. The documentation recommends a Linux virtual machine or Docker container for Windows and macOS, so those operating systems are not equivalent native server targets.
Who it's for
Franz identifies use cases including Knowledge Graphs, neuro-symbolic AI, pharma discovery, healthcare, Customer 360, supply-chain logistics and Data Fabric. The combination of standards, reasoning, federation and analytics is most compelling for teams integrating complex data or building applications that depend on structured relationships. It is less suited to buyers who need a native Windows or macOS server, or whose dataset quickly outgrows the Free tier and cannot support Enterprise custom pricing.
Pros and cons
Pro: Broad semantic capabilities. RDF, OWL, SHACL, SPARQL, Prolog and reasoning support demanding knowledge-graph workflows.
Pro: Federation designed for scale. FedShard combines results across machines, and Enterprise removes the listed triple and server limits.
Pro: Multiple ways to work with data. Extensive import formats, analytics, integrations and REST clients support varied pipelines and applications.
Con: Free has a firm capacity ceiling. Up to 5 million triples may be insufficient for production graphs that grow beyond a bounded scope.
Con: Server deployment is Linux-centered. Windows and macOS users are directed to a Linux VM or Docker container rather than native server operation.
Con: Enterprise cost requires a quote. Buyers cannot compare a fixed Enterprise price in advance.
Alternatives
For other options, browse Knowledge Graph Software or Graph Databases.
RDFox is worth considering when a 30-day evaluation license with non-commercial-use terms is sufficient before choosing a paid commercial license.
GraphDB is another freemium option; its Free plan is a single-core license, with a valid license required from version 11.0.0.
RDF Studio is a free semantic data workspace for readers who want a free option without stated price or usage limits.
TypeDB offers an Explore plan with 10 GB storage, 8 GB RAM, 2 vCPUs and a fully managed dedicated database server; consider it when those managed resources suit the deployment.
Protégé is a free and open-source choice with OWL 2 support for readers seeking ontology-focused software.
QLever is free open-source software under the Apache 2.0 license.
Stardog has a renewable one-year Free license capped at 1 million stored edges and three databases, with community support and no high availability.
Virtuoso Universal Server offers Personal for $99.99, paid once, covering two concurrent users and two CPU cores on Linux, Windows or macOS workstation deployments.
Verdict
Choose AllegroGraph if you need a standards-rich Knowledge Graph platform that can combine reasoning, AI integrations, federation and analytics. Its Free edition gives bounded projects a no-cost starting point, while Enterprise removes the stated scale limits. Look elsewhere if you need a native Windows or macOS server or a fixed, predictable Enterprise price.
Verdict
AllegroGraph specifies a broad semantic-data toolkit, from standards and reasoning to federation, analytics and integrations. Check the Free edition’s triple limit and the Linux-based server deployment guidance against your requirements.
Where Specifiction places it
- Knowledge Graph Software#1 of 339.1
- Graph Databases#3 of 399.0
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