K2View Fabric vs SCIKIQ Data Fabric
K2View Fabric
k2view.com
SCIKIQ Data Fabric
scikiq.comSide by side
| Figure | K2View Fabric | SCIKIQ Data Fabric |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 4 |
| Spec score · Data Fabric Software | 8.1 (#6) | 7.6 (#13) |
| Connectors | The platform page says it has built-in connectors to most databases, and the trial FAQ says users can connect their own data sources. | SCIKIQ's homepage lists 200+ pre-built connectors and names SAP S/4HANA, Snowflake, Databricks, AWS, Salesforce, Oracle, and Kafka. |
| Deployment | The architecture supports multi-cloud, on-premise, and hybrid deployments. | 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. |
| Intended users | The maker presents the platform for enterprise data consumers and teams supporting operational and analytical workloads. | 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 | K2View describes configurable governance controls for synchronization, access, integrity, and security, plus data masking for data at rest, in use, and in transit. | The FAQ says SCIKIQ uses encryption for data transfers, access controls, and authentication mechanisms, and offers on-premises or private-cloud hosting options. |
| Support | K2View says its contact team responds to inquiries within one day and can help with technical, account, or billing questions. | The Startup Launchpad FAQ says its package includes support from experienced data scientists and offers consulting, training, email, and phone support. |
| What it does | K2View Data Fabric organizes fragmented source data around business entities and stores each entity’s data in its own Micro-Database. | SCIKIQ describes Data Fabric as a unified platform for integrating, curating, governing, and activating enterprise data. |
Plans
SCIKIQ Data Fabric
- AdvancedPriced on request
- BasicPriced on request
- Custom EnterprisePriced on request
- StandardPriced on request
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.
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.