The Graph Databases solutions below are the most common alternatives that users and reviewers compare with IBM Graph. Other important factors to consider when researching alternatives to IBM Graph include reliability and ease of use. The best overall IBM Graph alternative is Neo4j Graph Database. Other similar apps like IBM Graph are Arango, Redis Software, Azure Cosmos DB, and OrientDB. IBM Graph alternatives can be found in Graph Databases but may also be in Database as a Service (DBaaS) Providers or Document 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.
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.
Redis Software is designed for organizations that need fast, reliable in-memory database capabilities alongside the flexibility to manage their infrastructure. With sub-millisecond latency and millions of operations per second, Redis Software excels in delivering real-time performance. Built for high availability and disaster recovery, Redis Software ensures your data remains safe and accessible, providing the foundation for fast, scalable applications.
OrientDB is a Distributed Graph Database engine with the flexibility of a Document Database all in one NoSQL database.
See the Value in Your Data. Flexible analytics and visualization platform. Real-time summary and charting of streaming data. Intuitive interface for a variety of users. Instant sharing and embedding of dashboards
Amazon Neptune is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets.
Aerospike Database is a Key-Value Store and high performance real-time NoSQL (flex-schema) database.
Redis Cloud combines the power of Redis with the convenience of a fully managed service, offering blazing-fast performance with sub-millisecond latency and millions of operations per second. Redis Cloud scales effortlessly to handle any workload, ensuring your applications remain fast and responsive. With features like auto tiering and advanced query and search capabilities, Redis Cloud simplifies your tech stack while delivering exceptional performance. Our robust high availability, including an industry-leading 99.999% up-time SLA ensures your data is always safe and accessible, allowing you to focus on building and deploying applications with confidence.
Oracle Spatial and Graph supports a full range of geospatial data and analytics for land management and GIS, mobile location services, sales territory management, transportation, LiDAR analysis and location-enabled Business Intelligence. The graph features include RDF graphs for applications ranging from semantic data integration to social network analysis to linked open data and network graphs used in transportation, utilities, energy and telcos and drive-time analysis for sales and marketing applications.