Kubling vs Spice.ai OSS
Kubling
kubling.comSpice.ai OSS
spiceai.orgSide by side
| Figure | Kubling | Spice.ai OSS |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 1 |
| Spec score · Data Virtualization Software | 7.5 (#16) | 7.7 (#12) |
| Deployment | Instances can use local providers, federate other Kubling instances, or both; the site says no central instance is required. | Spice runs as a binary, container, Kubernetes workload, or managed app on the Spice Cloud Platform. |
Plans
In their own words
Kubling
Kubling gives AI agents and automation a bounded model of live IT and OT state, federated directly from source systems. It defines shared entities, relationships, source ownership, and valid actions so queries and mutations can cross databases, APIs, and infrastructure. Providers translate operations into each source’s native protocol while retaining credentials, source logic, and release cycles; Kubling handles federation, planning, and policy. The OpenAPI provider exposes API operations as relational entities and maps mutations to HTTP operations. Instances can use local providers, federate other Kubling instances, or do both, with no central instance required. Providers are independent services behind a public gRPC contract and can be written in any gRPC-supported language. The catalog lists Cassandra, Kubernetes, OpenAPI, Redis, and an in-memory provider. The provider protocol, Go SDK, and official providers are open source, but the engine is not. Quickstart requires Git, Docker Engine, and Docker Compose v2. Provider APIs are pre-1.0; exact versions are recommended.
Spice.ai OSS
Spice.ai OSS is a free, open-source SQL query and AI-inference engine built in Rust for developers. Its SQL API queries structured and unstructured data across databases, data warehouses, and data lakes. Data can be materialized in DuckDB, SQLite, or PostgreSQL in memory or on disk, with results caching included. The AI engine provides an OpenAI-compatible API for local and hosted inference, search, memory, evaluations, and observability. Search methods include vector, full-text BM25, and hybrid approaches exposed through SQL table-valued functions. Spice lists over 40 data connectors, including PostgreSQL, MySQL, S3, Snowflake, Databricks, and DuckDB, and documented client integrations include DBeaver, JetBrains DataGrip, Apache Superset, Tableau, and Microsoft Power BI. It can run as a binary, container, Kubernetes workload, or managed app on Spice Cloud. The Apache 2.0-licensed software is self-hostable as a binary or Docker image. Listed operating systems are macOS with Apple Silicon, Linux on x86_64 or aarch64, and Windows 10 or later with WSL.