KGNN - 2026 Pricing, Features, Reviews & Alternatives

🔹Data Preparation & Automation
- Automated ETL: Eliminates manual pipelines, reducing data prep time by up to 80%.

- Auto-Semantic Mapping: No need for manual schema design or scripting.

- Self-Constructing Knowledge Graph: Automatically builds and maintains an RDF graph enriched with real-world context.

🔹 AI & Analytics Readiness
- Vectorized Outputs: Instantly ready for AI models, LLM pipelines (RAG/CAG), and vector search.

- High-Quality Inputs: Minimizes hallucinations, improves explainability, and grounds reasoning in context.

- 5x Faster Data Prep compared to traditional ETL workflows.

🔹 Advanced Intelligence Capabilities
- Graph Analytics: Discover hidden patterns, associations, and behaviors through link analysis and cluster detection.

- Predictive Modeling: Anticipate risk, fraud, or opportunity with AI-powered insights.

- Anomaly Detection: Identify deviations and threats that legacy systems miss.

🔹 Seamless Integration & Interoperability
- Supports Structured, Semi-Structured, and Unstructured Data from APIs, files, databases, and real-time sources.

- Federated Querying: Access distributed data without physically moving it.

- Plugin-Based Architecture: Integrates easily with Power BI, Tableau, Jupyter, ANB, and more.

🔹 Security, Governance & Scale
- Provenance Tracking: Maintains full lineage of data and actions.

- Access Control: RBAC/ABAC integration with Keycloak and enterprise auth systems.

- 50% Lower Energy Consumption on IBM Power10 vs. GPU systems.

- Edge-Ready: Operates in disconnected, low-power environments.

🔹 User Experience & Flexibility
- No-Code/Low-Code Interface (Fusion): Enables non-technical users to ingest, explore, and validate graph data.

- Schema-Less Onboarding: Easily adapts to new data sources and types.

- Rapid Deployment: Fully operational in under 90 days, even in secure air-gapped environments.