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Head-to-head · Tokenization Software

Delphix Data Tokenization vs OpenText Voltage SecureData Servers

  • Updated Oct 2026
  • Both researched from official sources
  • 3 checks side by side
Higher score Delphix Data Tokenization #1 in Tokenization Software 9.2/10 Pricing on request ✓ 2 of 3 features Visit Perforce
OpenText Voltage SecureData Servers #2 in Tokenization Software 9.1/10 Pricing on request ✓ 0 of 3 features Visit OpenText

Delphix Data Tokenization leads on 0 checks, OpenText Voltage SecureData Servers on 0, and 3 are even. Who comes out ahead on the 3 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreDelphix Data Tokenization · 9.2/10
  • Most featuresDelphix Data Tokenization · 2 of 3

Delphix Data Tokenization scores higher on our rubric for tokenization software: 9.2 against 9.1 out of 10; our editors rank them #1 and #2.

Delphix Data Tokenization is the better fit for enterprises tokenizing data across diverse databases. OpenText Voltage SecureData Servers is the better fit for enterprises needing vaultless, format-preserving.

  • Delphix Data Tokenization fits best

    Enterprises tokenizing data across diverse databases

  • OpenText Voltage SecureData Servers fits best

    Enterprises needing vaultless, format-preserving

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature Delphix Data Tokenization 9.2/10 Visit ↗ OpenText Voltage SecureData Servers 9.1/10 Visit ↗
At a glance
Editor score 9.2 9.1
Ranking #1 in Tokenization Software #2 in Tokenization Software
Best for Enterprises tokenizing data across diverse databases Enterprises needing vaultless, format-preserving
Pricing model Paid Paid
Starting price Pricing on request Pricing on request
Free plan Not checked yet Not checked yet
Free trial — —
Deployment Cloud, Self-hosted Cloud, Self-hosted
Platforms Web Windows, Linux
Compliance SOC 2, ISO 27001, GDPR, HIPAA PCI DSS, GDPR
Integrations 15 integrations 10 integrations
Built for Enterprise Enterprise, Mid-market
Features Delphix Data Tokenization 2/3 · OpenText Voltage SecureData Servers 0/3
Format-preserving tokens — Not checked yet
API tokenization ✓ (best) Not checked yet
Audit logging ✓ (best) Not checked yet
Specs
Deployment On_premises Not checked yet
Database connectors DB2 LUW, Oracle, Microsoft SQL Server, MySQL, SAP ASE (Sybase), PostgreSQL, MariaDB, DB2 Z/OS, DB2 iSeries, Salesforce, CockroachDB, SAP HANA Not checked yet
Detokenization controls Not checked yet Not checked yet
Compliance certifications SOC 2 Type 2, ISO 27001, HIPAA Not checked yet
Our review
Pros
  • Re-identifies tokenized string values through dedicated jobs
  • Connectors span databases, mainframes, and file formats
  • Discovery, profiling, and audit logs support compliance workflows
  • Format-preserving AES FF1 encryption keeps sensitive data usable in existing formats.
  • Stateless tokenization and key management support persistent data protection.
  • REST APIs, SDKs, and integrations span cloud, databases, lakes, and analytics.
Cons
  • Output can be longer than the input, so format preservation is not verified
  • On-premises deployment may not suit teams seeking a cloud-only service
  • Quote-based pricing requires a sales conversation
  • Quote-based purchasing requires a sales conversation.
  • Broad integrations can require coordination across applications and data platforms.
  • Its enterprise scope may exceed the needs of a narrow tokenization deployment.
Our verdict

Delphix Data Tokenization is a capability within Perforce Delphix’s data compliance and masking platform. It replaces sensitive string values with tokens that can later be reversed, supporting workflows such as sharing data for external…

Read the review →

OpenText Voltage SecureData Servers protects sensitive data across cloud, on-premises, and hybrid environments. It combines format-preserving AES FF1 encryption, secure stateless tokenization, format-preserving hashing, stateless key…

Read the review →
  1. Delphix Data TokenizationTokenization Software 9.2Pricing on request
  2. OpenText Voltage SecureData ServersTokenization Software 9.1Pricing on request

Strengths and trade-offs

  • Delphix Data Tokenization — where it wins

    • Re-identifies tokenized string values through dedicated jobs
    • Connectors span databases, mainframes, and file formats
    • Discovery, profiling, and audit logs support compliance workflows

    Where it doesn't

    • Output can be longer than the input, so format preservation is not verified
    • On-premises deployment may not suit teams seeking a cloud-only service
    • Quote-based pricing requires a sales conversation
  • OpenText Voltage SecureData Servers — where it wins

    • Format-preserving AES FF1 encryption keeps sensitive data usable in existing formats.
    • Stateless tokenization and key management support persistent data protection.
    • REST APIs, SDKs, and integrations span cloud, databases, lakes, and analytics.

    Where it doesn't

    • Quote-based purchasing requires a sales conversation.
    • Broad integrations can require coordination across applications and data platforms.
    • Its enterprise scope may exceed the needs of a narrow tokenization deployment.
  • Delphix Data Tokenization9.2/10 · Pricing on request

    Enterprise tokenization with reversible jobs, discovery, audit logs, and broad connectors.

    Visit PerforceFull verdict →
  • OpenText Voltage SecureData Servers9.1/10 · Pricing on request

    Enterprise vaultless tokenization with format preservation, stateless controls, and multi-cloud reach.

    Visit OpenTextFull verdict →

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update