DataOS vs Kamu
DataOS
themoderndatacompany.comKamu
kamu.devSide by side
| Figure | DataOS | Kamu |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 1 |
| Spec score · Data Fabric Software | 7.6 (#11) | 8.6 (#3) |
| Company | The Modern Data Company says it is headquartered in San Jose, California, with offices in Indore, Hyderabad, and Bangalore, India. | The site identifies the company as Kamu Data Inc. |
| Deployment | The maker says DataOS can be deployed in any cloud environment and adapts to existing infrastructure. | Kamu Node is a scalable server implementation of ODF, deployable as Kubernetes applications in a distributed environment. |
| Integrations | The maker’s FAQ names AWS S3, Snowflake, Google BigQuery, Kafka, Jupyter Notebooks, Tableau, and Looker as supported connections or integrations. | Kamu says it integrates Spark, Flink, Arroyo, and Datafusion as plugins, allowing different engines in one pipeline. |
| Product | DataOS is a data activation layer that adds shared context, governance, and intelligence over an organization’s existing data stack. | Kamu is a data fabric for auditable, accountable data supply chains and collaborative processing across organizational boundaries. |
| Security | The FAQ lists attribute-based access control, multi-factor authentication, encryption in transit and at rest, audit trails, and automated alerts. | The CLI installation guide warns that sudo-less Docker access can expose the filesystem with root privileges and recommends rootless Podman as an alternative. |
Plans
In their own words
DataOS
DataOS is a data activation layer that adds shared context, governance, and intelligence over an organization’s existing data stack. Its reusable data products combine data, transformation logic, semantic models, quality contracts, access policies, governance, and consumption APIs. Products are available through REST, GraphQL, and SQL, and can be exposed through MCP for AI tools and assistants. Listed capabilities include observability, data quality, data sharing, a knowledge graph, a built-in lakehouse, governance, a distributed SQL workbench, and an automatic data catalog. Named connections include AWS S3, Snowflake, Google BigQuery, Kafka, Jupyter Notebooks, Tableau, and Looker. DataOS can layer over infrastructure without migration, keep data where it resides, and deploy in any cloud environment. Security listings include attribute-based access control, multifactor authentication, encryption, audit trails, and alerts. Pricing is on request: pay-per-use rates and limits are unspecified, while Enterprise is yearly with no usage or functionality limits.
Kamu
Kamu is a data fabric for accountable data supply chains and collaborative processing across organizational boundaries. Its free Kamu CLI manages and verifiably processes structured data, and the maker says it can be used without an account, credit card, or cloud subscription. Kamu records data history and transformation code so users can trace where datasets came from and verify how results were produced. SQL-based ETL pipelines can use processing engines including Flink, Spark, and DataFusion; ingestion options include Debezium, web polling, MQTT brokers, and blockchain logs. Datasets can be explored through an embedded SQL shell, Jupyter notebooks, an embedded web interface, and BI tools such as Apache Superset. Open Data Fabric formats and protocols enable exchange through conventional or decentralized storage. Kamu Node is the server counterpart, deployable as Kubernetes applications in a distributed environment. The CLI works on Linux, macOS, and Windows with WSL2. Documentation cautions that Kamu is not suited to high-frequency, high-volume cases, though it may suit insights derived from such data.