If you need masked, consistent test data per customer or account across many systems, K2view is the closest enterprise platform, built around business entities rather than whole-database copies. For de-identified, subsetted copies of production databases and warehouses with an API, look at Tonic.ai (Tonic Structural). DATPROF is a modular suite for Oracle, SQL Server, Db2 and PostgreSQL teams that want masking, subsetting and a self-service refresh portal, and it is the only one here with a virtual copy module. Mainframe-heavy enterprises should compare IBM Optim, relaunched as Optim 2.0 in July 2026. If you only need irreversible masking, DataMasque is narrower and simpler, and if you would rather not copy production at all, GenRocket generates synthetic test data from models.
Perforce Delphix, marketed as the Delphix DevOps Data Platform, does two jobs. Continuous Data keeps a compressed, immutable record of source databases and delivers virtual, writable copies that share common blocks, so teams can refresh, rewind, bookmark and branch full test databases without the storage of physical copies. Continuous Compliance and Hyperscale Compliance discover sensitive data and mask it with referential integrity, including on Snowflake and Databricks, and a Synthetic Data module and the Data Control Tower API layer complete the platform. See the Perforce Delphix profile.
Teams that look elsewhere usually give one of these reasons. The first three come from Perforce's own pages as summarised in our profile; the last two are our editorial reading.
- No public pricing. Perforce prices Delphix by the capabilities you choose (masking, test data delivery, synthetic data) and by deployment size, by quote.
- A platform to operate. Delphix engines and Data Control Tower must be deployed and run; it is not a lightweight tool.
- Managed cloud databases. For Amazon RDS and Azure SQL Database, Delphix orchestrates the provider's own APIs instead of delivering virtual copies.
- Masking without virtualisation. Teams whose real requirement is masked or subsetted data may not need block-sharing virtual copies at all (editorial).
- Ownership and documentation changes. Delphix is now a Perforce product and its documentation is moving to the Perforce Developer Hub, which prompts some customers to review the market at renewal (editorial).
For head-to-head pages, see Delphix vs K2view and Tonic.ai vs GenRocket. Redgate Test Data Manager, which classifies, masks and subsets SQL Server, PostgreSQL, MySQL and Oracle databases, is discussed on the Redgate alternatives page rather than repeated here.
Quick picks
Subsets, masks, reserves and rolls back test data per customer or account, consistent across sources.
Tonic Structural masks and subsets production data on Tonic Cloud or self-hosted, with Fabricate for synthetic data.
Privacy, Subset, Runtime and Virtualize modules, with pricing not tied to database size.
Test data, privacy masking and archiving across Db2 for z/OS, IMS, VSAM, Oracle and Db2.
Irreversible, deterministic masking across a published matrix of databases and file formats.
Model-driven generation per test case, with subsetting and masking added.
How we chose
We considered K2view, Tonic.ai, DATPROF, IBM Optim, GenRocket, DataMasque, Informatica Test Data Management and Redgate's test data products. To be included, a product had to provide masked, subsetted or synthetic data for non-production databases, be sold and actively released in November 2026, and describe its capabilities and deployment on an official page.
Informatica Test Data Management is not listed as an entry: Salesforce completed its acquisition of Informatica on 18 November 2025, the packaged cloud edition in the October 2026 product schedule masks and subsets Salesforce sandbox orgs only, and the on-premises product depends on the PowerCenter platform. It remains an option for existing Informatica customers (see its profile). Redgate Test Data Manager is covered on the Redgate alternatives page instead of repeated here.
Note that none of the listed products copies Delphix's block-sharing virtual databases across many engines; DATPROF Virtualize is the only virtual-copy module among them. The order is not a ranking: entries start with broad test data platforms, then modular suites, then a masking-only tool and a synthetic data generator.
At a glance
| Product | Main approach | Virtual copies | Deployment | Pricing | Main trade-off |
|---|---|---|---|---|---|
| K2view | Entity-based subsetting, masking, synthetic data | No (snapshots and rollback per entity) | On premises, cloud, hybrid, K2cloud | By quote | Entity model to design up front |
| Tonic.ai | Masking and subsetting of copies; synthetic generation | No | Tonic Cloud; self-hosted on Enterprise plan | Structural by quote on data size; Fabricate from free | Subsetting missing on some connectors |
| DATPROF | Modular masking, subsetting, self-service delivery | Yes (Virtualize module) | On premises or self-managed cloud | By quote, not by database size | Several modules to license |
| IBM Optim | Business-object test data, masking, archiving | No | Containers on premises or cloud; z/OS via zCX | By quote through IBM | New 2.0 release; migration to plan |
| DataMasque | Irreversible static masking | No | Self-hosted Linux, containers; AWS and Azure marketplaces | Per deployment by quote; On Demand from 49 per hour | No subsetting or copies |
| GenRocket | Model-driven synthetic generation, plus subsetting and masking | No | Hosted web platform; runtime on your machines | Annual per project, 20-project minimum, by quote | Modelling effort up front |
K2view
K2view's Test Data Management and Data Masking solutions run on its Data Product Platform (the Fabric runtime, 8.5.2 being the latest listed release), which stores the data for each business entity, such as one customer, in its own Micro-Database. Instead of copying whole databases, it subsets by business attributes and returns the complete data for each selected entity across every source system.
Testers provision data through a self-service portal, API or agent, reserve entities so tests do not collide, and snapshot and roll back to a known state. Masking finds sensitive data with rules and LLMs, works statically or in flight, keeps referential integrity at entity level and also covers unstructured content such as PDFs and images. See Delphix vs K2view.
- No public pricing, and the terms of the free start are not stated.
- The entity model must be designed up front, which takes effort.
- No database-by-database support matrix on the public product pages.
Tonic.ai
Tonic.ai sells three products. Tonic Structural reads a source database, applies a generator to each sensitive column (masking, consistent replacement or synthesis), optionally subsets, and writes a de-identified copy; its connectors cover PostgreSQL, MySQL, SQL Server, Oracle, Db2 for LUW, Snowflake, Redshift, BigQuery, Databricks, MongoDB and Salesforce. Tonic Fabricate generates data from a description or schema, and Tonic Textual redacts sensitive values in free text.
Structural is priced by annual contract on source data size: Professional covers up to 10 TB, 10 users and two source types on Tonic Cloud, and Enterprise adds unlimited sources and self-hosting. Fabricate has a free plan and a 29 USD per month Plus plan. See Tonic.ai vs GenRocket.
- Structural has no published prices and is priced by source data volume.
- Self-hosting needs the Enterprise plan.
- Subsetting is not available on several connectors, including Databricks and BigQuery.
DATPROF
DATPROF is a Dutch test data management suite made of modules: Privacy masks data and generates synthetic values, Subset extracts a smaller consistent slice of production, Runtime is a web portal and REST API that deploys and schedules masking and subset templates so testers can refresh their own environments, Analyze profiles and discovers sensitive data, and Virtualize provides virtual copies of test data.
Native support covers Oracle, SQL Server, Db2 for i, Db2 LUW, PostgreSQL, EDB, MySQL and MariaDB, plus JDBC sources and flat files. DATPROF describes its licence as modular with a fixed price that does not depend on database size, and says processing happens inside the database.
- No published prices; pricing needs a sales form.
- Each capability is a separate module, so a full setup means several licences.
- Cloud warehouses and NoSQL databases are not on the native support list.
IBM Optim
IBM Optim, long sold as IBM InfoSphere Optim, covers Optim Test Data Management, Optim Data Privacy and Optim Archive. Optim 2.0, generally available on 31 July 2026, is a containerized application with an Apache Spark runtime that treats a business object (related rows across systems) as the unit of work, so that one customer ID masks to the same value in Oracle and Db2. It runs natively on z/OS, and archives are written as Apache Iceberg tables.
Documented sources include Db2, Db2 for z/OS, Oracle, IMS and VSAM, and the z/OS runtime is largely zIIP-eligible according to IBM. It is the obvious candidate when mainframe data must be in the same test sets as distributed databases (editorial).
- No public prices or trial.
- Optim 2.0 is a new release, so migration from InfoSphere Optim needs planning, and older SKUs are being withdrawn.
- IBM's product pages do not list every supported database.
DataMasque
DataMasque replaces sensitive values with realistic substitutes as data leaves production, using salted SHA-512 hashing so results are deterministic and keys stay consistent across databases, files and cloud stores. Rules live in YAML ruleset files, and a discovery feature suggests sensitive columns. Its published support matrix covers Oracle 11gR2 to 26ai, SQL Server 2012 to 2025, PostgreSQL 9.6 to 18, MySQL, MariaDB, MongoDB, Cassandra, Db2, Informix, SAP ASE and SAP HANA, plus Snowflake, Aurora, RDS, Redshift, DynamoDB, Cosmos DB and Databricks.
It also masks CSV, Parquet, JSON, XML and other files on S3, Azure Blob, Google Cloud Storage and network shares. In our view it suits teams that use Delphix mainly for masking and already have their own way to copy databases.
- Masking only: no subsetting or virtual database copies documented.
- Main licences are quote-only, and the On Demand price does not state a currency.
- Irreversible by design, so it does not suit cases that need re-identification.
GenRocket
GenRocket generates test data from a design rather than from production. Domains are modelled like tables and attributes like columns, each attribute gets a generator, and receivers write output to databases over JDBC, to files such as XML, JSON, CSV and VSAM, or to web services and Salesforce. Scenarios set row counts while keeping parent and child records consistent, and an API connects generation to test frameworks and CI/CD pipelines.
Around the generator it adds subsetting (named for Oracle, Db2, SQL Server, MySQL, PostgreSQL and Sybase), in-place masking, profiling and a self-service portal. The licence is per test data project with a 20-project minimum and unlimited users. See Tonic.ai vs GenRocket.
- Minimum purchase of 20 projects, with every price by quote.
- Modelling domains and generators takes upfront design work compared with masking an existing copy.
- Detailed support matrices sit in a knowledge base that requires a login.
When to stay with Delphix
Stay with Delphix if your teams depend on full, writable virtual copies of large Oracle, SQL Server, Db2 or SAP databases that they refresh, rewind and branch many times a day: that block-sharing approach is what none of the listed alternatives reproduces across engines, and replacing it with physical copies or subsets changes storage costs and test workflows.
Switching makes most sense when the requirement is really masking (DataMasque), masked subsets and self-service refreshes (Tonic.ai, DATPROF), consistent data per business entity across many systems (K2view), mainframe coverage (IBM Optim), or no production data at all (GenRocket). Run a masking and referential integrity check on a real schema before you commit, and confirm support for each source in writing. For production-side activity monitoring and dynamic masking, see IBM Guardium alternatives.
Frequently asked questions
What is the closest alternative to Delphix?
For enterprise test data management with masking, K2view is the closest platform, though it works per business entity rather than with virtual database copies. See Delphix vs K2view.
Is there an alternative that also provides virtual database copies?
Among the products listed, only DATPROF has a virtual copy module (DATPROF Virtualize). The others deliver masked or subsetted physical data, entity-level snapshots (K2view) or synthetic data (GenRocket, Tonic Fabricate), so check whether you need full virtual databases before you switch.
Which Delphix alternatives publish prices?
Few do. Tonic Fabricate has a free plan and a 29 USD per month Plus plan, and DataMasque On Demand starts at 49 per hour on the AWS and Azure marketplaces. K2view, DATPROF, IBM Optim, GenRocket and Tonic Structural are by quote.
Is Delphix still sold?
Yes. It is sold by Perforce as Perforce Delphix, and its help site lists Data Control Tower releases up to 2026.4. Documentation is moving to the Perforce Developer Hub.
What about Informatica Test Data Management?
It is still documented, but Informatica is now owned by Salesforce, its packaged cloud edition targets Salesforce sandbox orgs, and the on-premises product depends on PowerCenter. It is mainly an option for existing Informatica customers.
Sources
- Perforce Delphix product page
- Delphix pricing (Perforce)
- Delphix data virtualization (Perforce)
- Delphix documentation home
- K2view Test Data Management
- K2view Data Masking
- Tonic.ai pricing
- Tonic Structural data connector summary
- DATPROF products
- DATPROF FAQ
- IBM Optim product page
- IBM Optim 2.0 announcement
- DataMasque pricing
- DataMasque supported data sources
- GenRocket pricing
- Informatica Cloud and Product Description Schedule (PDF)
- Salesforce completes acquisition of Informatica
Checked November 2026.
How we research these guides: our editorial method.