Research alternative solutions to GraphDB on G2, with real user reviews on competing tools. Semantic Layer Tools is a widely used technology, and many people are seeking productive, easily administered software solutions with bi connectors. Other important factors to consider when researching alternatives to GraphDB include ease of use and reliability. The best overall GraphDB alternative is Neo4j Graph Database. Other similar apps like GraphDB are Tableau, Microsoft Power BI, GoodData, and Oracle Analytics Cloud. GraphDB alternatives can be found in Semantic Layer Tools but may also be in Analytics Platforms or RDF Databases.
Neo4 is a graph database, that brings data relationships to the fore. From companies offering personalized product and service recommendations; to websites adding social capabilities; to telcos diagnosing network issues; to enterprises reimagining master data, identity, and access models; organizations adopt graph databases as the best way to model, store and query both data and its relationships.
Turn data into action at scale with human and agent collaboration. AND Scale data-driven insights with complete operational confidence. AND Deploy visual, self-service analytics with unmatched control and flexibility.
Power BI Desktop is part of the Power BI product suite. Use Power BI Desktop to create and distribute BI content. To monitor key data and share dashboards and reports, use the Power BI web service. To view and interact with your data on any mobile device, get the Power BI Mobile app on the AppStore, Google Play or the Microsoft Store. To embed stunning, fully interactive reports and visuals into your applications use Power BI Embedded
Comprehensive suite of enterprise BI and Analytics products, delivering the full range of reporting and analysis capabilities including interactive dashboards.
Arango provides a trusted data foundation for Contextual AI — transforming enterprise data into a System of Context that truly represents the business, so LLMs can deliver better outcomes with unlimited scale and cost efficiency. The Arango AI Data Platform gives developers a single, integrated environment to build and scale AI-powered applications without the complexity of stitching together multiple databases and tools. At its core is a massively scalable multi-model database that unifies graph, vector, document, and key-value data with full-text, geospatial, and vector search — creating the System of Context, the bridge between enterprise data and LLMs. The Arango AI Suite includes automated data pipelines, multimodal data ingestion, AIOps and MLOps, LLM integrations, Graph Analytics, agentic frameworks for context-aware Hybrid/GraphRAG, GraphML, natural-language support, and GPU acceleration — enabling repeatable ROI and faster innovation. Trusted by NVIDIA, HPE, the London Stock Exchange, the U.S. Air Force, NIH, Siemens, Synopsys and Articul8, Arango powers enterprise AI with context, confidence, and scale. We are a proud member of the NVIDIA Inception Program and the AWS ISV Accelerate Program. Learn more at arango.ai, LinkedIn, YouTube, and G2.
AllegroGraph® is a modern, high-performance, persistent graph database. AllegroGraph uses efficient memory utilization in combination with disk-based storage. AllegroGraph supports SPARQL, RDFS++, and Prolog reasoning from numerous client applications.
Stardog is a reusable, scalable knowledge graph platform designed to enable enterprises to unify all their data, including data sources and databases of every type, to get the answers needed to drive business decisions.
Kyvos is a semantic layer for AI and BI. It gives enterprises a single, consistent, business-friendly view of their data for trusted AI and BI — eliminating metric drift across BI tools, and grounding AI in governed semantic context for higher accuracy. Kyvos delivers lightning-fast analytics at massive scale and high concurrency, including high-grain multidimensional analytics on the cloud, while reducing cloud spend.
RDFox is the high-performance in-memory knowledge graph and semantic reasoner. Designed by leading academics at the University of Oxford, RDFox is the child of groundbreaking research that has culminated in the fasted market-ready knowledge graph, owing to its optimised in-memory approach. Coupled with its unmatched reasoning capabilities, it is the high-end competitor to the industry standards. Supporting Datalog, OWL 2 RL, SPARQL, and validation with SHACL, RDFox complies with W3C standards, allowing easier adoption.