K2View Fabric vs One Data
K2View Fabric
k2view.comOne Data
onedata.aiSide by side
| Figure | K2View Fabric | One Data |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| Linux | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 0 |
| Spec score · Data Fabric Software | 8.1 (#6) | 7.3 (#16) |
| Deployment | The architecture supports multi-cloud, on-premise, and hybrid deployments. | One Data can run in a customer’s AWS or Azure cloud, on premises, or hosted by One Data; on-premises deployment depends on Kubernetes and infrastructure requirements. |
| Founded | 2009 | 2013 |
| Security | K2View describes configurable governance controls for synchronization, access, integrity, and security, plus data masking for data at rest, in use, and in transit. | One Data states that the company is ISO 27001 certified and TISAX-assessed, and that the software supports SSO and multi-factor authentication and is GDPR compliant with European data residency available. |
| Support | K2View says its contact team responds to inquiries within one day and can help with technical, account, or billing questions. | One Data describes support ranging from guided self-service to fully managed assistance, including setup and ongoing updates. |
| What it does | K2View Data Fabric organizes fragmented source data around business entities and stores each entity’s data in its own Micro-Database. | One Data is a modular data management platform that adds structure, business context, and governance to enterprise data for reporting, analytics, and AI. |
Plans
In their own words
K2View Fabric
K2View Fabric organizes fragmented source data around business entities, placing each entity's data in its own Micro-Database. It integrates, transforms, enriches, orchestrates, and secures data in real time. Teams can access Micro-Databases through web services or send their contents to analytical data stores. Integration methods include bulk ETL, APIs, streaming, messaging, and data virtualization; the product also includes preparation, catalog, governance, masking, and microservice-automation capabilities. Its architecture supports multi-cloud, on-premise, and hybrid deployments. K2View says its distributed design can support hundreds of millions of Micro-Databases concurrently. Listed uses include Customer 360, test data management, cloud enablement, operational intelligence, data pipelining, and data privacy and governance. The platform is aimed at enterprise data consumers and teams supporting operational and analytical workloads. Pricing is on request. A free 30-day trial demonstrates a basic Customer 360 scenario using a predefined City Mobility project; connecting a company's own sources comes afterward with K2View's assistance.
One Data
One Data is a modular data management platform for turning fragmented enterprise data into governed, context-rich products for reporting, analytics, and AI. It extracts technical metadata, lets stewards add definitions and ownership, and maps lineage, dependencies, completeness, and data use. Data contracts can specify schemas, quality thresholds, service levels, and ownership, with continuous monitoring and violation alerts. Teams can connect use cases to business goals, capture requirements, and use the Code Automation Engine to generate transformation logic, pipeline scaffolding, and schema definitions. A searchable Data Product Marketplace presents metadata, contract status, quality indicators, lineage, and ownership for evaluating and requesting products. Named integrations include Databricks, Snowflake, Tableau, Power BI, and PostgreSQL. AI connections include OpenAI, Azure OpenAI, AWS Bedrock, and Google Vertex AI. Deployment can be in a customer AWS or Azure cloud, on premises with Kubernetes requirements, or hosted by One Data. SSO, multifactor authentication, GDPR compliance, and European data residency are listed.