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K2view Dynamic Data Virtualization
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What K2view Dynamic Data Virtualization is
K2view Dynamic Data Virtualization provides a semantic layer that prepares data from underlying sources for applications and analysts. It groups relevant source tables around business entities such as customers, products and loans, then unifies, transforms, enriches and masks the data. Data teams can choose what to virtualize and what to persist in Micro-Databases, with the choice affecting freshness, query performance, source-system load, enrichment and change history. Data can be pulled through APIs or JDBC, or pushed through streaming and messaging. K2view says it supplies adapters for relational and non-relational databases and file systems, and that distributed and complex cross-source queries can return in sub-second response times. AI-assisted setup can recommend entity roots, build logical schemas from source metadata and patterns, and suggest what to virtualize or persist. Fabric deployments are documented on customer-managed Kubernetes, on premises or in AWS, GCP or Azure. Pricing is available on request, with a 30-day trial; there is no free plan.
Who it suits
K2view may suit organizations that need governed data and context for critical systems, applications, analytics or testing. Its deployment options and selective persistence are relevant to teams managing data across multiple sources.
What it does well
- Groups source tables around business entities
- Supports APIs, JDBC, streaming and messaging access
- Teams choose which data to virtualize or persist
- AI-assisted setup can suggest schemas and entity roots
What to know first
- Pricing is available on request
- No free plan is listed
Limits
There is no free plan, and the listed trial lasts 30 days. Pricing is provided on request.
Plans
| Plan | Billed and limits | Price |
|---|---|---|
| K2view Dynamic Data Virtualization | Pricing not stated on the pages reviewed | On request |
As k2view.com lists them, read 3 Oct 2026. The maker's own page has the final word.
Getting started
- Open the K2view Dynamic Data Virtualization website
- Request pricing from K2view
- Start the 30-day trial
- Deploy Fabric on customer-managed Kubernetes infrastructure
- Connect relational or non-relational databases and file systems
- Configure entity roots and logical schemas
- Expose data through APIs, JDBC, streaming, or messaging
Verdict
K2view combines a business-entity semantic layer with choices about access and persistence. Organizations can request pricing or use the 30-day trial to evaluate its fit.
Questions
How is K2view Dynamic Data Virtualization priced?
It is a paid product with pricing on request. A 30-day trial is listed.
Which access methods are supported?
Data can be accessed through APIs or JDBC and pushed through streaming or messaging.
Where can Fabric be deployed?
K2view documents customer-managed Kubernetes deployments on-premises and in AWS, GCP, or Azure.
Does K2view provide a REST API?
Yes. REST API access is listed.
Does K2view support self-hosted data control?
For its self-hosted Kubernetes model, K2view says customer data, services, and integrations remain in the customer environment and it does not access customer data.
What security certifications are listed?
K2view states that it is SOC 2 Type 2 certified and compliant with GDPR and CCPA. It also says it uses the Bouncy Castle Java stack for FIPS 140-2 compliance.
Facts from K2view Dynamic Data Virtualization's own pages
- Access methods
- Data can be pulled through APIs or JDBC and pushed through data streaming or messaging methods. · k2view.com, 3 Oct 2026
- AI-assisted setup
- AI-assisted setup can recommend entity roots, build logical schemas from source metadata and patterns, and recommend which data to virtualize or persist. · k2view.com, 3 Oct 2026
- Business entities
- Its logical abstraction layer groups relevant source tables around business entities such as customers, products, and loans. · k2view.com, 3 Oct 2026
- Company history
- K2view's company page says it was founded in 2009 to address complex enterprise data migration challenges. · k2view.com, 3 Oct 2026
- Connectors
- K2view says it provides adapters for relational and non-relational databases and file systems. · k2view.com, 3 Oct 2026
- Deployment
- K2view documents Fabric deployments on customer-managed Kubernetes infrastructure, including on-premises and AWS, GCP, or Azure environments. · support.k2view.com, 3 Oct 2026
- Founded
- 2009 · k2view.com, 28 Sept 2026
- Performance
- The product page says distributed queries and complex queries across disparate sources can return in sub-second response times. · k2view.com, 3 Oct 2026
- Purpose
- K2view Dynamic Data Virtualization provides a semantic layer that unifies, transforms, enriches, and masks data from underlying sources for consuming applications and analysts. · k2view.com, 3 Oct 2026
- Security certifications
- K2view's security page states that it is SOC 2 Type 2 certified and compliant with GDPR and CCPA, and says it uses the Bouncy Castle Java stack for FIPS 140-2 compliance. · k2view.com, 3 Oct 2026
- Selective persistence
- Data teams can choose which data to virtualize and which to persist in Micro-Databases to manage freshness, query performance, source-system load, enrichment, and change history. · k2view.com, 3 Oct 2026
- Self-hosted data control
- For its self-hosted Kubernetes model, K2view states that customer data, services, and integrations remain in the customer environment and that K2view does not access customer data. · support.k2view.com, 3 Oct 2026
- Support
- K2view's support site offers a knowledge base, training academy, user community, and ticket submission. · support.k2view.com, 3 Oct 2026
- Who it serves
- K2view describes its platform as delivering governed business data and context for organizations' critical systems, applications, analytics, and testing. · k2view.com, 3 Oct 2026
Where K2view Dynamic Data Virtualization stands on Freedom251
- Data Virtualization Software#16 of 25