DataOS vs SCIKIQ Data Fabric
DataOS
themoderndatacompany.com
SCIKIQ Data Fabric
scikiq.comSide by side
| Figure | DataOS | SCIKIQ Data Fabric |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 4 |
| Spec score · Data Fabric Software | 7.6 (#11) | 7.6 (#13) |
| Deployment | The maker says DataOS can be deployed in any cloud environment and adapts to existing infrastructure. | The FAQ states that customers can host data on-premises or in a private cloud, and describes deployment in a customer trust network using a virtual private cloud. |
| Headquarters | Palo Alto, California | SCIKIQ lists its India office at 7th Floor, AIHP Skyline, Plot 97A, Sector 32, Gurugram, Haryana 122001. |
| Intended users | 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. | The pricing page describes the platform as designed for mid-sized enterprises, while the company story says it aims to put enterprise data in business teams' hands with IT governance and control. |
| Security | The FAQ lists attribute-based access control, multi-factor authentication, encryption in transit and at rest, audit trails, and automated alerts. | The FAQ says SCIKIQ uses encryption for data transfers, access controls, and authentication mechanisms, and offers on-premises or private-cloud hosting options. |
Plans
SCIKIQ Data Fabric
- AdvancedPriced on request
- BasicPriced on request
- Custom EnterprisePriced on request
- StandardPriced on request
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.
SCIKIQ Data Fabric
SCIKIQ Data Fabric is a unified platform for integrating, curating, governing, and activating enterprise data across multiple environments. Its Connect, Control, Curate, and Consume framework covers integration, profiling, quality management, curation, visualization, and API publication. A no-code, drag-and-drop interface is intended for business teams. Capabilities include semantic knowledge graphs, active metadata management, embedded machine learning, lineage, ownership and permission controls, and data-quality scorecards. SCIKIQ lists more than 200 connectors, including SAP, Snowflake, Databricks, AWS, Salesforce, Oracle, Kafka, databases, APIs, and files. Connected sources can be queried in natural language, while curated data can feed reports, dashboards, machine-learning sandpits, or APIs. Deployment descriptions include on-premises, private cloud, multi-cloud, and hybrid environments. The company says the platform serves industries including manufacturing, telecom, healthcare, airlines, banking, supply chain, retail, and agriculture. Pricing is on request: Basic, Standard, and Advanced plans publish user, stack, and deployment ranges, while Custom Enterprise lists unlimited users and stacks.