DataOS
5.5#16 in data fabric softwareWebAPILinuxSelf-hosted
VisitDataOS vs Kamu
What both publish
| Fact | DataOS | Kamu |
|---|---|---|
| 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. |
DataOS plans
- Enterprise—
- Pay as You GoPriced on request
Kamu plans
- Kamu CLIFree
Pick DataOS if…
DataOS suits business and data teams, as well as organizations using AI agents, that want governed access to reusable data products. Business users can find and use trusted data without engineering support.
Pick Kamu if…
Kamu may suit teams exchanging data between independent parties or handling low-to-moderate-frequency data where traceability and protection from malicious actors matter. It is not described as a good fit for high-frequency, high-volume workloads.