Quick verdict
Choose Perforce Delphix if you need many full-size, refreshable copies of large databases (Oracle, SQL Server, Db2, SAP HANA and others) for development and CI, with masking applied before copies reach developers and rewind or bookmark for repeatable tests. Choose K2view if your test data spans many systems (CRM, billing, mainframe, SaaS) and must stay consistent per customer or account, and testers should request, reserve and roll back exactly the entities they need. Both mask data with referential integrity and both are quote-priced platforms, so the decision is mainly about whole-database copies versus entity-based subsets.
Perforce Delphix, marketed as the Delphix DevOps Data Platform, combines two jobs. Continuous Data syncs with production sources, keeps changed data in an immutable record, and provisions virtual copies that share common blocks, so each copy is a full read/write database without the storage of a physical copy. Continuous Compliance and Hyperscale Compliance discover sensitive data and mask it with realistic values. Data Control Tower is the central management and API layer, and a synthetic data capability sits alongside. delphix.com now redirects to perforce.com, and Perforce prices Delphix by capability and deployment size.
K2view builds its products on the K2view Data Product Platform (the Fabric runtime), which stores data for each business entity, for example one customer, account or order, in its own Micro-Database. Test Data Management and Data Masking are solutions on that platform, alongside synthetic data and tokenization. The support site lists Fabric 8.5.2 as the latest release and a K2cloud portal for deploying Fabric releases.
One page, two jobs. Both vendors sell masking and test data management as capabilities of one platform, so this page compares both. For masking-only tools, see DataMasque; for synthetic and de-identified test data, see Tonic.ai vs GenRocket.
Side by side
| Aspect | Perforce Delphix | K2view |
|---|---|---|
| Core idea | Virtual, writable copies of whole databases that share blocks | Data organised by business entity (Micro-Database per customer, account or order) |
| Test data unit | A full database copy, provisioned from any point in time | A subset of complete entities, selected by business attributes across systems |
| Test data operations | Refresh, rewind, bookmark, branch, share, spin up and destroy | Reserve entities, snapshot, version and roll back |
| Masking approach | Masks data irreversibly with realistic values; consistent within and across sources | Static and dynamic masking in flight; entity-level referential integrity |
| Sensitive data discovery | Automated discovery with built-in and custom classifiers | Discovery and classification using rules and large language models |
| Large-scale masking | Hyperscale Compliance runs parallel masking jobs, including Snowflake and Databricks | Not described separately on the pages checked |
| Unstructured data | Masks files as well as databases, warehouses and lakes | Masks images, documents, presentations and PDFs consistently with structured data |
| Synthetic data | Synthetic data generation capability | Generated by AI, rules or entity cloning |
| Named sources | Oracle, SQL Server, Db2 (incl. z/OS), PostgreSQL, MySQL, SAP HANA, MongoDB, Cassandra, Couchbase, Snowflake, Databricks, Teradata, Redshift, BigQuery | Categories only: relational and NoSQL databases, mainframe, SaaS apps, message queues, files, cloud stores |
| Managed cloud databases | Amazon RDS and Azure SQL Database through provider-native APIs (Continuous Data for PaaS), not virtual copies | Covered as cloud data stores; no per-service detail on the pages checked |
| Deployment | Engines on premises or in AWS, Azure, Google Cloud, OCI and IBM Cloud; Data Control Tower on Kubernetes, OpenShift or OVA | On premises, cloud or hybrid; K2cloud portal |
| Pricing | Quote; by capability and deployment size, no metered billing | Quote; "Start Free" offered with terms not stated |
Key differences
Whole-database copies versus entity-based subsets
Delphix answers the question "how do I give every developer and pipeline a full, realistic copy of a 5 TB database without 5 TB per copy". Because virtual copies share blocks with the stored record of the source, teams can provision a writable database from any point in time, refresh it, branch it for a feature, bookmark a state and rewind to it after a test run. The copy behaves like the real database, schema, size and all, which suits integration tests, performance tests and debugging against production-like data.
K2view answers a different question: "how do I get the complete, consistent data for these 500 customers, whose records live in CRM, billing, a mainframe and a SaaS app". It subsets by business attributes (for example account status or balance) and returns everything that belongs to each selected entity across systems, rather than following joins inside one database. That suits end-to-end testing of business processes that span applications, and it keeps test environments smaller.
Masking: how and where it runs
Delphix masking (Continuous Compliance) discovers sensitive values such as names, emails and card numbers with built-in or custom classifiers, then irreversibly replaces them with realistic, policy-governed values using algorithms that need no programming. Perforce stresses consistency within and across sources, pipelines and clouds, so a masked customer ID still joins across databases. For very large datasets, Hyperscale Compliance splits masking into parallel jobs, including for Snowflake and Databricks. Because masking sits next to virtualization, masked virtual copies can be the default that developers receive.
K2view masks as data moves: static masking during provisioning and dynamic masking in flight, with a library of masking functions plus custom ones, tokenization and reversible pseudonymization. Referential integrity is kept at entity level, which matters when the same customer appears in several systems with different keys. K2view also masks unstructured content such as PDFs and images consistently with the related records, and its Data Masking solution can serve analytics, data sharing and AI workloads as well as testing.
Self-service and test workflow
Both target self-service. Delphix offers a self-service UI and API-driven provisioning, with data APIs for refresh, rewind and branch that can be called from pipelines through its APIs, SDKs and prebuilt integrations. K2view offers a self-service portal, API or agent for provisioning, says test data delivery can be integrated into CI/CD workflows, and adds reservation so parallel teams do not overwrite each other's entities, plus snapshots and rollback to a known state.
A practical difference is reset speed versus data scope. Rewinding a Delphix copy restores the whole database to a bookmark; rolling back in K2view restores the entities you reserved. Which is better depends on whether your tests mutate broad swathes of one database or specific business records across many.
Sources, setup effort and fit
Delphix publishes a named source list on its virtualization page (Oracle, SQL Server, Db2 including z/OS, PostgreSQL, MySQL, SAP HANA, MongoDB, Cassandra, Couchbase, Snowflake, Databricks, Teradata, Redshift and BigQuery, plus SAP and Oracle EBS) and says unlisted sources may also be supported. Managed services such as Amazon RDS and Azure SQL Database get provider-API orchestration rather than virtual copies, so check what that means for your refresh times. The platform has engines to deploy and operate.
K2view lists source categories rather than a per-engine matrix on its product pages, so confirm your specific engines and versions with K2view. Its entity model must be designed before data flows, which is real up-front work, but it is also what makes cross-system consistency possible. For a single large database, that modelling may be more than you need; for a landscape of many interlinked systems, it is the point.
Pricing and licensing
Perforce Delphix. No prices are published. Perforce's pricing page says the price depends on which capabilities you choose (Data Masking and Compliance, Test Data Management and Data Delivery, Synthetic Data Generation, alone or combined) and rises with deployment size, with no metered billing. You request a quote.
K2view. No prices are published for Data Masking or Test Data Management. The website offers "Start Free", a product tour and a demo request, but the terms of the free start are not stated on the pages checked. Enterprise use is by quote. Both products are quote-based.
Pricing checked on the vendors' official pages on 7 November 2026. Prices change; confirm before buying.
Where each one leads
Perforce Delphix strengths
- Full-size, writable test databases without full storage cost per copy
- Refresh, rewind, bookmark and branch for repeatable automated tests
- Masking and data delivery in one platform, so masked copies can be the default
- Named support for a wide range of engines, including Db2 z/OS, SAP HANA and data warehouses
- Hyperscale Compliance for parallel masking of very large datasets
K2view strengths
- Keeps each customer's data consistent across many systems in test environments
- Subsetting by business attributes, with reservation, snapshots and rollback
- Static and dynamic masking in flight, tokenization and reversible pseudonymization
- Masks unstructured content such as PDFs and images consistently with records
- Synthetic data from AI, rules or entity cloning on the same platform
Limitations
Perforce Delphix limitations
- No public pricing
- A platform with engines to deploy and operate
- Amazon RDS and Azure SQL Database get API orchestration rather than virtual copies
- Documentation is moving to the Perforce Developer Hub, and detailed help pages were not accessible to us
K2view limitations
- No public pricing; "Start Free" terms not stated
- The entity model must be designed up front
- No per-engine support matrix on the public product pages
- More platform than a single-database team may need
When to choose each
Choose Perforce Delphix if
- Each developer or CI pipeline needs its own full-size, masked copy of a large database
- Tests must reset a database to a known state many times a day
- Your sources are Oracle, SQL Server, Db2 or SAP HANA estates with heavy storage costs for copies
- You need to mask very large Snowflake or Databricks datasets in parallel
Choose K2view if
- Test scenarios span several applications and must stay consistent per customer or account
- Testers should pick, reserve and roll back specific entities themselves
- You need masked documents and PDFs that match masked database records
- You want small, targeted test sets rather than full copies
When neither is right
- You only need to mask copies you already make, without virtualization or subsetting: see DataMasque.
- You want de-identified copies or synthetic data generated from models: see Tonic.ai vs GenRocket and Tonic.ai.
- You need masking of query results for analysts rather than test copies: see Satori vs StrongDM.
- Your estate is SQL Server only and a few test databases are enough: native backup and restore plus scripted masking, or Redgate's successor tools, may be sufficient.
Final recommendation
Perforce Delphix is the more direct fit when the problem is many large, masked, resettable copies of whole databases, where block-sharing virtual copies save storage and rewind and bookmark speed up testing. K2view is the more direct fit when the problem is consistent, masked test data for business entities that span many systems, with self-service reservation and rollback. Both mask with referential integrity and both are enterprise platforms priced by quote. Run a proof of concept on one real test scenario: a single large database favours Delphix's model, a cross-application customer journey favours K2view's.
Frequently asked questions
Is Delphix a masking tool or a test data tool?
Both. Continuous Data delivers virtual, writable copies for development and testing, and Continuous Compliance and Hyperscale Compliance discover and mask sensitive data. Perforce sells them as capabilities of one platform.
Who owns Delphix?
Perforce Software. delphix.com redirects to perforce.com/products/delphix, and the product is now called Perforce Delphix.
Does K2view copy whole databases?
Its test data approach is entity-based: it subsets by business attributes and provisions the complete data for each selected entity across systems, rather than delivering full virtual copies of one database.
Do both keep referential integrity when masking?
Yes, by their own descriptions. Delphix says masking is consistent within and across sources, pipelines and clouds; K2view keeps referential integrity at entity level, including across systems.
How much do Delphix and K2view cost?
Neither publishes prices. Perforce prices Delphix by capability and deployment size without metered billing; K2view offers a "Start Free" option with unstated terms and quotes enterprise licences.
Sources
- Perforce Delphix product page
- Delphix data virtualization (Perforce)
- Delphix data masking (Perforce)
- Delphix pricing (Perforce)
- Delphix documentation home
- K2view Test Data Management
- K2view Data Masking
- K2view support and release notes
Checked November 2026.
How we research comparisons: our editorial method.