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Denodo Platform vs Spice.ai OSS

Denodo Platform

denodo.com

Spice.ai OSS

spiceai.org

Side by side

FigureDenodo PlatformSpice.ai OSS
Price fromFreeFree
Free planYesYes
Free trialYes—
Open source——
WebYes—
WindowsYesYes
macOS—Yes
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published41
Spec score · Data Virtualization Software8.5 (#5)7.7 (#12)
Operating systemsThe installation guide lists Windows Server 2016, 2019, and 2022, Windows 10 and 11, and supported Linux distributions including Ubuntu, Amazon Linux, CentOS, RHEL, Oracle Linux, and SUSE Linux Enterprise.The installation page lists macOS with Apple Silicon, Linux on x86_64 or aarch64, and Windows 10 or later with WSL; it says the prebuilt binary needs no other dependencies.
ProductDenodo describes its Platform as an AI data layer that connects distributed enterprise data, preserves live operational awareness, unifies business meaning, and applies governance as data is accessed.Spice is an open-source SQL query and AI-inference engine built in Rust for developers.

Plans

Denodo Platform

  • DeveloperFree
  • Business CriticalPriced on request
  • High AvailabilityPriced on request
  • TeamPriced on request

Denodo Platform pricing →

Spice.ai OSS

  • Spice.ai OSSFree

Spice.ai OSS pricing →

In their own words

Denodo Platform

Denodo Platform has no write-up on Specifiction yet; its figures are above.

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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.

Visit spiceai.org