Fluree DB
6.5#7 in rdf databasesFree planFree planWebAPILinuxmacOS
VisitFluree DB vs Stardog
What both publish
| Fact | Fluree DB | Stardog |
|---|---|---|
| Deployment | Fluree DB is distributed as a single static binary with no JVM or external dependencies, and can run through Docker, Homebrew, shell installation, PowerShell or source builds. | Stardog can run as a managed AWS cloud service, in customer cloud environments, or on premises through Docker, Kubernetes, AWS Marketplace, and Azure Marketplace. |
| Headquarters | Winston-Salem, North Carolina, USA | New York, New York, United States |
| Integrations | Connectors cover PostgreSQL, MySQL, SQL Server, Oracle, MongoDB, Salesforce, HubSpot, ServiceNow, Workday, SAP, Snowflake, Databricks, BigQuery and REST APIs. | Connectors cover databases including Snowflake, BigQuery, Oracle, PostgreSQL, MongoDB, Elasticsearch, Salesforce, Jira, Splunk, and REST sources. |
| License | Fluree is available under the Business Source License 1.1, with commercial licensing available by contacting Fluree. | Stardog Free is proprietary, licensed software and the pricing FAQ explicitly says it is not open source. |
| SDKs | Official SDKs and libraries are listed for JavaScript/TypeScript, Python and Java. | Programming documentation covers Java, Python, JavaScript, .NET, Groovy, Spring and Clojure, with an HTTP API for other languages. |
Fluree DB plans
- Fluree AIFree
- FlureeDB Open SourceFree
- EnterprisePriced on request
Stardog plans
- Stardog Cloud FreeFree
- Stardog FreeFree
- Stardog Cloud EnterprisePriced on request
- Stardog EnterprisePriced on request
Pick Fluree DB if…
Fluree DB is suited to developers and teams working with graph data, temporal records, and granular access policies. Its APIs, SDKs, integrations, and deployment options may suit projects with varied data sources or environments.
Pick Stardog if…
Stardog suits organizations that need to unify data across cloud and on-premises sources for analytics, AI, search, or applications. It is also relevant to teams that need graph-based data modeling, standards-based querying, and deployment options spanning managed cloud and self-hosting.