CognoDB vs Eclipse RDF4J
CognoDB
cognodb.comEclipse RDF4J
rdf4j.orgSide by side
| Figure | CognoDB | Eclipse RDF4J |
|---|---|---|
| Price from | $9/mo | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 4 | 1 |
| Spec score · Graph Databases | 8.2 (#10) | 8.8 (#4) |
| Integrations | The import flow supports Amazon S3, Google Cloud Storage, Azure Blob Storage, BigQuery, Snowflake, PostgreSQL, Apache Kafka, Apache Spark, Delta Lake, Apache Iceberg, CSV and Parquet. | Documented compatible systems include GraphDB, Halyard, Stardog, Amazon Neptune, Blazegraph, Oracle RDF, MarkLogic, Strabon and Virtuoso. |
| Security | The maker says client connections and storage snapshots are encrypted, instance passwords and API keys are stored as hashes, and organizations are isolated with default-deny networking. | The Eclipse project page links to the Eclipse Foundation vulnerability reporting channel. |
Plans
In their own words
Eclipse RDF4J
Eclipse RDF4J is a modular Java framework for parsing, storing, querying, and reasoning over RDF data. It supports SPARQL 1.1 query and update, and its API can access remote RDF repositories in the same way as local ones. Supported formats include RDF/XML, Turtle, N-Triples, N-Quads, JSON-LD, TriG, and TriX. Storage options include a transactional in-memory store with optional disk persistence and a transactional Native Store aimed at medium-sized datasets around 100 million triples. Extensions add full-text search, RDFS inferencing, rule-based reasoning, SHACL and SPIN validation, and geospatial queries. The SDK bundles libraries, Server, Workbench, Console, and Javadoc API; Workbench includes a web interface with a SPARQL editor. Developers can use Maven artifacts or download an SDK zip or onejar. RDF4J is free under the Eclipse Distribution License, version 1.0. The latest stable release, 6.1.0, requires Java 25 or newer. The project describes its core databases as mainly intended for small to medium-sized datasets and notes third-party stores may scale further or offer additional features.