Virtual Data Platform
virtualdataplatform.com
What it is
Virtual Data Platform (VDP) provides live access to enterprise data across systems, networks, and organizations without copying it into a warehouse or lake. Queries run against source systems, and results are combined in an in-memory sandbox for each user. Its low-code Modeler creates reusable Virtual Datasets from Functions, Code Files, Models, and Value Lists. Users can work with the data through Excel, Power BI, Python, R, and MCP-capable AI assistants. Listed integrations include SAP, Snowflake, Salesforce, Workday, SQL Server, SharePoint, ODBC, OData, Oracle, PostgreSQL, BigQuery, and Dynamics 365. Users sign in with Microsoft Entra ID, and queries apply source-system permissions under the requesting user’s identity. The maker describes outbound-only gateway connections, TLS on every connection, encrypted payloads, and results held in memory rather than saved to disk. It describes the service as GDPR-aligned and hosted in the EU on Microsoft Azure, while making no certification claims today. A Dedicated tier offers a dedicated backend cluster and Azure Private Endpoints.
Spec sheet
- Purpose
- Provides real-time access to enterprise data across systems, networks, and organizations without replicating it into a warehouse or lake.Read 8 Oct 2026 · virtualdataplatform.com
- Audience
- The product is developed for organizations seeking secure, governed access to enterprise data across systems and network boundaries.Read 8 Oct 2026 · virtualdataplatform.com
- Trial
- The maker offers a free trial in an isolated tenant but does not state its duration on the pages reviewed.Read 8 Oct 2026 · virtualdataplatform.com
- Integrations
- Listed integrations include SAP, Snowflake, Salesforce, Workday, SQL Server, SharePoint, ODBC, OData, Oracle, PostgreSQL, BigQuery, and Dynamics 365.Read 8 Oct 2026 · virtualdataplatform.com
- Compliance
- The maker describes the service as GDPR-aligned and hosted in the EU on Microsoft Azure, and states that it makes no certification claims today.Read 8 Oct 2026 · virtualdataplatform.com
- Headquarters
- Gröbenzell, GermanyRead 28 Sep 2026 · virtualdataplatform.com
- Founded
- 2021Read 28 Sep 2026 · virtualdataplatform.com
- Clients
- Users can consume data through Excel, Power BI, Python, R, and MCP-capable AI assistants.Read 8 Oct 2026 · virtualdataplatform.com
- Dedicated deployment
- A Dedicated tier offers a dedicated backend cluster and Azure Private Endpoints for private networking.Read 8 Oct 2026 · virtualdataplatform.com
- Encryption and persistence
- The security page describes TLS on every connection, encrypted payloads, and results held in memory rather than persisted to disk.Read 8 Oct 2026 · virtualdataplatform.com
- Identity and permissions
- Users sign in with Microsoft Entra ID, and source-system permissions are applied to queries under the requesting user's identity.Read 8 Oct 2026 · virtualdataplatform.com
- License roles
- A VDP_User license views and executes datasets, while the VDP_Creator add-on also allows creating and modeling them and requires a User license.Read 8 Oct 2026 · virtualdataplatform.com
- Modeling
- Its low-code Modeler builds reusable Virtual Datasets from Functions, Code Files, Models, and Value Lists.Read 8 Oct 2026 · virtualdataplatform.com
- Network security
- Gateways connect outbound only, so the platform says customers do not need inbound firewall rules for them.Read 8 Oct 2026 · virtualdataplatform.com
- Query model
- Queries run live against source systems, and results are combined in an in-memory per-user sandbox.Read 8 Oct 2026 · virtualdataplatform.com
- Supported deployment platforms
- The web Portal is responsive on desktop, tablet, and mobile; Gateway evaluation builds are listed for Windows and macOS, and Agent documentation lists Windows and Linux.Read 8 Oct 2026 · docs.virtualdataplatform.com
Plans and prices
Strong points and limits
Strong points
- Queries live against source systems without warehouse replication
- Applies source-system permissions using the requesting identity
- Supports a broad set of data integrations and clients
- Dedicated tier includes Azure Private Endpoints
Limits
- Pricing is available on request
- No certification claims are made today
- No self-hosted option listed
Who it suits
VDP is aimed at organizations seeking governed access to enterprise data across systems and network boundaries. It may suit teams that want to query source systems directly and use results through familiar analytics or development clients.
Virtual Data Platform in depth
Read the full write-up
Overview
Virtual Data Platform (VDP) is a data virtualization service for organizations that need to query information held across enterprise systems without building a copied warehouse or lake. It suits teams that want shared access to distributed data while keeping permissions tied to each user. Its strongest case is governed, live querying; it is less suitable when users need a central replicated store or row-level security.
Key features
VDP sends queries to source systems and combines the results in an in-memory sandbox for each user. That avoids maintaining another copy of the data, but makes results dependent on live access to the underlying systems. Microsoft Entra ID sign-in and source permissions applied under the requesting user's identity help preserve existing controls across queries. VDP supports SQL and API access, but does not provide row-level security.
The low-code Modeler creates reusable Virtual Datasets from Functions, Code Files, Models, and Value Lists. Users can consume datasets through Excel, Power BI, Python, R, and MCP-capable AI assistants, giving teams several ways to put shared data to work. Creating and modeling those datasets requires a Creator license; a User license covers viewing and executing them.
Integrations include SAP, Snowflake, Salesforce, Workday, SQL Server, SharePoint, ODBC, OData, Oracle, PostgreSQL, BigQuery, and Dynamics 365. Gateways connect outbound only, so they do not require inbound firewall rules. The security description covers TLS on every connection, encrypted payloads, and results kept in memory rather than written to disk. The service is hosted in the EU on Microsoft Azure and is described as GDPR-aligned, but the maker makes no certification claims.
Pricing
Virtual Data Platform uses paid, custom pricing; a free trial is offered in an isolated tenant, with no stated duration. The standard license roles are VDP_User, for viewing and executing datasets, and VDP_Creator, an add-on that permits creation and modeling and requires a User license. That split lets organizations reserve modeling rights for a smaller group, but teams should account for both roles when planning access. A Dedicated tier adds a dedicated backend cluster and Azure Private Endpoints for private networking.
Platforms
The product is cloud-hosted rather than self-hosted. Its responsive web Portal supports desktop, tablet, and mobile use; Gateway evaluation builds are listed for Windows and macOS, while Agent documentation lists Windows and Linux. Android, iOS, Linux, web, Windows, and API are listed as platforms, giving it a broad footprint for cloud-based deployment.
Who it's for
VDP is aimed at organizations that need secure, governed access to enterprise data spread across systems and network boundaries. It is a particularly relevant fit where identity-linked source permissions and avoiding replication matter more than having a persisted central copy. Teams that require row-level security or self-hosted deployment should look elsewhere.
Pros and cons
Pro: Live queries and per-user sandboxes avoid maintaining a separate warehouse or lake copy.
Pro: Microsoft Entra ID sign-in and source permissions under each user's identity carry existing access controls into queries.
Pro: Reusable datasets can serve Excel, Power BI, Python, R, and MCP-capable AI assistants, as well as SQL and API clients.
Con: Live querying depends on source-system access at query time rather than a separate persisted dataset.
Con: There is no row-level security, which rules it out for organizations that require that control.
Con: Custom pricing and a trial of unstated duration make costs and evaluation timing harder to plan.
Con: It is cloud-only; the Dedicated tier offers private networking, not self-hosted deployment.
Alternatives
Data Federation Software and Data Virtualization Software are useful starting points for comparing products in those categories.
Choose Denodo Platform if a free Developer plan is useful: it includes a single server, four cores, 50 data products, and 2.5 TB per year, with unlimited data sources, consumers, and Data Marketplace users. Teradata VantageCloud is another freemium option with a free plan and a VantageCloud Lake Standard plan.
Enterprise Enabler is an alternative from Stone Bond Technologies, which says the product has been developed since the company's founding in 2002. Starburst Galaxy may suit teams looking for a freemium option: its free plan allows up to three clusters in standard execution mode for ad hoc queries.
Stardog offers a free plan with a renewable one-year license, up to one million stored edges, and three databases. For a free, downloadable SQL query engine, consider Apache Drill, which supports embedded or cluster deployment under Apache License 2.0. Presto is another free open-source SQL query engine that can run on-premises or in any cloud.
QoreDB is a freemium alternative with a free Core plan that includes SQL and NoSQL engines and services, a read-only MCP server, and full CRUD and SQL/Mongo editing.
Verdict
Choose VDP if your organization needs governed, cross-system access that applies each user's existing source permissions and avoids copying data into a warehouse or lake. Its in-memory, live-query model and broad client support are the reason to choose it; custom pricing, cloud-only deployment, no row-level security, and reliance on live source access are the reasons to look elsewhere.
Verdict
VDP emphasizes live querying, per-user permissions, and in-memory results rather than copying data into a warehouse or lake.
Where Specifiction places it
- Data Federation Software#16 of 247.5
- Data Virtualization Software#17 of 257.5