Top 10 Graph Alternatives & Competitors

Top 10 Alternatives to IBM Graph Recently Reviewed By G2 Community

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Neo4j Graph Database
By Neo4j
4.5/5
(133)
Product Description
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.
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Categories in common with Graph:
Graph Databases

Arango
By Arango
4.6/5
(115)
Product Description
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.
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Reviewers say compared to IBM Graph, Arango is:
Better at meeting requirements
Categories in common with Graph:
Graph Databases

Redis Software
By Redis
4.5/5
(133)
Product Description
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.
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Reviewers say compared to IBM Graph, Redis Software is:
Better at meeting requirements
Categories in common with Graph:
Graph Databases
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OrientDB
By SAP
3.9/5
(60)
Product Description
OrientDB is a Distributed Graph Database engine with the flexibility of a Document Database all in one NoSQL database.
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Categories in common with Graph:
Graph Databases

Elastic Stack
By Elastic
4.5/5
(95)
Product Description
The Elastic Stack, commonly known as the ELK Stack, is a comprehensive suite of open-source tools designed for ingesting, storing, analyzing, and visualizing data in real-time. It comprises Elasticsearch, Kibana, Beats, and Logstash, enabling users to handle data from any source and in any format efficiently. Key Features and Functionality: - Elasticsearch: A distributed, JSON-based search and analytics engine that allows for rapid storage, search, and analysis of large volumes of data. - Kibana: An extensible user interface that provides powerful visualizations, dashboards, and management tools to interpret and present data effectively. - Beats and Logstash: Data ingestion tools that collect and process data from various sources, transforming and forwarding it to Elasticsearch for indexing. - Integrations: A multitude of pre-built integrations that facilitate seamless data collection and connection with the Elastic Stack, enabling quick insights. Primary Value and User Solutions: The Elastic Stack empowers organizations to harness the full potential of their data by providing a scalable and resilient platform for real-time search and analytics. It addresses challenges such as managing large datasets, ensuring high availability, and delivering relevant search results swiftly. By offering a unified solution for data ingestion, storage, analysis, and visualization, the Elastic Stack enables users to gain actionable insights, enhance operational efficiency, and make informed decisions based on their data.
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Reviewers say compared to IBM Graph, Elastic Stack is:
Better at meeting requirements
Categories in common with Graph:
Graph Databases

Amazon Neptune
By Amazon Web Services (AWS)
4.4/5
(30)
Product Description
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.
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Reviewers say compared to IBM Graph, Amazon Neptune is:
Better at meeting requirements
Better at support
More usable
Categories in common with Graph:
Graph Databases

Aerospike
By Aerospike
4.4/5
(83)
Product Description
Aerospike Database is a Key-Value Store and high performance real-time NoSQL (flex-schema) database.
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Reviewers say compared to IBM Graph, Aerospike is:
Better at meeting requirements
Categories in common with Graph:
Graph Databases

Redis Cloud
By Redis
4.6/5
(43)
Product Description
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.
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Reviewers say compared to IBM Graph, Redis Cloud is:
Better at meeting requirements
Categories in common with Graph:
Graph Databases

Oracle Spatial and Graph
By Oracle
4.6/5
(8)
Product Description
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.
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Reviewers say compared to IBM Graph, Oracle Spatial and Graph is:
Better at meeting requirements
Categories in common with Graph:
Graph Databases

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