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RelationalAI

A cloud-native relational knowledge graph system (RKGS) that models all data as relations in Graph Normal Form and is queried with Rel, a declarative, Datalog-based modeling language. Positioned as a knowledge graph coprocessor for Snowflake, it runs in-account as a Native App on Snowpark Container Services, adding rule-based reasoning, graph analytics, and predictive and prescriptive analytics over data where it already lives. The engine is built in Julia.

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Overall rank
#111
First released
2022
License
Proprietary
Built with
Julia

Details

Vendor
RelationalAI
Type
Other
Category
Growing
License
Proprietary
Language
Julia
Query Languages
RelSQL
Protocols
HTTP/REST
Sources 5 references

Protocols HTTP/REST

Delivered as a Snowflake Native App; the PyRel client connects over HTTP to a 'Direct Access' ingress endpoint, falling back to SQL routed through Snowflake (service functions) when Direct Access is unavailable.

  • Clients using Direct Access connect securely to the RAI Native App’s ingress endpoint over the public internet.
    Set Up Direct Access · reviewed 2026-08-02
  • The root clients lazily create transports (SQL/HTTP) on first use.
    client | RelationalAI Docs · reviewed 2026-08-02

License Proprietary

Confirms current value; RelationalAI is a hosted commercial service with no open-source engine repository, only client SDKs.

Released 2022

Corrected from current value 2021: RelationalAI's own year-in-review post states the company came out of stealth in 2022, which is the first point the product was publicly known to exist; 2021 saw only a JuliaCon talk and Series A, not public availability.

  • It was a great year for us --- we came out of stealth, grew our team, participated in fantastic conferences and events
    RelationalAI Year in Review, 2022 · reviewed 2026-08-02

Language Julia

Confirms current value; the engine (RKGS) and Rel language are implemented in Julia, distinct from the client SDKs (Python, Java, Go, JavaScript) hosted in the RelationalAI GitHub org.