Amorphic Data Platform vs DataOS
Amorphic Data Platform
cloudwick.com
DataOS
themoderndatacompany.comSide by side
| Figure | Amorphic Data Platform | DataOS |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 2 |
| Spec score · Data Fabric Software | 7.6 (#10) | 7.6 (#11) |
| Company | Cloudwick says it was founded in 2010 and lists its headquarters as Silicon Valley, USA, at 39899 Balentine Drive, Suite 218, Newark, California. | The Modern Data Company says it is headquartered in San Jose, California, with offices in Indore, Hyderabad, and Bangalore, India. |
| Deployment | Amorphic is deployed directly in the customer's AWS account, where the vendor says customer data, metadata, and encryption keys remain under the customer's control. | The maker says DataOS can be deployed in any cloud environment and adapts to existing infrastructure. |
| Headquarters | Newark, California, United States | Palo Alto, California |
| Integrations | The platform lists Amazon SageMaker, Bedrock, OpenSearch, and Kendra integrations, plus zero-ETL connectors for AI notebooks and BI tools. | The maker’s FAQ names AWS S3, Snowflake, Google BigQuery, Kafka, Jupyter Notebooks, Tableau, and Looker as supported connections or integrations. |
| Intended users | Cloudwick describes Amorphic as purpose-built for the public sector, including agencies modernizing data and automation workflows. | The maker describes DataOS as serving business teams, data teams, and AI agents, with business users able to find and use trusted data without engineering support. |
| Security | Cloudwick says it holds SOC 2 Type II and HIPAA attestations and encrypts data in transit with TLS and at rest with AES-256. | The FAQ lists attribute-based access control, multi-factor authentication, encryption in transit and at rest, audit trails, and automated alerts. |
Plans
In their own words
Amorphic Data Platform
Amorphic Data Platform is a cloud-native data and automation platform delivered as a service through AWS. It combines ingestion, transformation, governance, storage, and AI capabilities, and runs directly in a customer’s AWS account. Cloudwick says customer data, metadata, and encryption keys stay under the customer’s control. The platform combines information from teams, systems, and formats, using entity resolution to create unified views of people, cases, or other entities. Automated cataloging, metadata tags, lineage tracking, and role-based dataset access support organization and governance. Pipelines can begin with files, streams, or APIs. AI functions include role-based access, PII controls, document processing, and vector indexing for retrieval-augmented generation and question answering. Integrations include Amazon SageMaker, Bedrock, OpenSearch, and Kendra, plus zero-ETL links for AI notebooks and business intelligence tools. Version 3.0 adds CI/CD, column-level versioned lineage, role-based views, templates, and centralized source management. Pricing is on request.
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.