GreyCat review
A unified transactional store for data-intensive applications, with graph traversal at its core.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
GreyCat brings graph, time-series, geospatial, relational, vector and text data into one transactional database, aimed at teams building data-intensive applications such as digital twins, IoT systems and knowledge-graph search. It runs as a single binary on the user's infrastructure, with both self-hosted and cloud deployment options. Community is free and self-hosted, and includes a graph explorer, REST and JSON-RPC APIs, generated OpenAPI interfaces, on-device embeddings, RBAC and token authentication. That breadth makes GreyCat worth exploring when an application needs multiple data models together rather than separate specialized stores.
Graph traversal remains the primary model: GreyCat supports relational data but does not offer SQL queries. Its built-in vector index uses HNSW nearest-neighbor search, while full-text and hybrid search are available through Pro libraries. Native temporal storage supports point-in-time queries and server-side sampling; geospatial indexing and geometry operations address location data. These capabilities are relevant to applications that need to connect entities, time, location and search in one engine, but teams seeking a conventional SQL-first database should look elsewhere. Integrations include PostgreSQL, Kafka, OPC-UA, MQTT, S3, SMTP, SFTP/FTP, OpenStreetMap and IFC/BIM.
The published plans show that Pro adds full-text and hybrid search libraries, AI and algebra ML, enterprise connectors, OIDC single sign-on, monitoring and profiler, live and delta backup, plus email and priority support. Enterprise adds uptime SLAs, dedicated support and onboarding, security review, custom terms, and deployment choices including EU-sovereign, on-prem, air-gapped or BYO-cloud. According to the vendor's pricing page, Pro and Enterprise pricing is custom rather than publicly listed. Community suits evaluation and projects comfortable with a self-hosted, graph-oriented model; teams requiring managed operational support, advanced search or enterprise deployment arrangements should assess the paid editions and request pricing.
GreyCat pros and cons
- Where it wins
- Combines graph, relational, vector, text, temporal and geospatial data in one store
- Offers vector, full-text and hybrid search, plus point-in-time temporal queries
- Free Community edition includes self-hosting, APIs and a graph explorer
- Where it doesn't
- Graph traversal is the primary model, and GreyCat has no SQL queries
- Pro and Enterprise pricing is custom and not publicly listed
- Advanced capabilities such as connectors, monitoring and backups require Pro
GreyCat fact sheet, pricing and score →
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