Apache Arrow DataFusion vs Denodo Platform
Apache Arrow DataFusion
datafusion.apache.orgDenodo Platform
denodo.comSide by side
| Figure | Apache Arrow DataFusion | Denodo Platform |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | — | Yes |
| Windows | — | Yes |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 4 |
| Spec score · Query Engine Software | 8.0 (#10) | 8.2 (#9) |
| Governance | The project is governed through the Apache Software Foundation process. | Its described governance controls include row-level security, masking, identity-aware policies, lineage, and auditability. |
| Product | Apache DataFusion is an extensible query engine written in Rust that uses Apache Arrow as its in-memory format. | Denodo 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. |
Plans
Denodo Platform
- DeveloperFree
- Business CriticalPriced on request
- High AvailabilityPriced on request
- TeamPriced on request
In their own words
Apache Arrow DataFusion
Apache Arrow DataFusion is a free, extensible query engine written in Rust that uses Apache Arrow as its in-memory format. It is intended for developers building database and analytics systems tailored to particular workloads, rather than as a ready-made hosted database. Queries run in-process, using threads for parallel execution. DataFusion offers SQL and DataFrame APIs, while related subprojects provide Python and Java interfaces. Documented capabilities include SQL parsing and planning, parallel and streaming execution, and query optimization. Built-in data sources include CSV, Parquet, JSON, Avro, and Arrow. Developers can add sources through the TableProvider trait and customize functions, operators, and other components. Runtime features include enforced memory limits and disk spilling for sorts, grouping, and joins. The core project is designed for in-process use; Ballista is a related distributed processing extension. Rust users commonly add DataFusion from crates.io, while official Apache releases are source artifacts. The project recommends verifying release artifacts with an OpenPGP signature or SHA-512 checksum.
Denodo Platform
Denodo Platform has no write-up on Specifiction yet; its figures are above.