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Cybersecurity · head to head

BigID vs Skyflow

BigID logo

BigID

Cybersecurity

Data discovery and classification across cloud, on-premise and unstructured stores

From
On request
Rated
-
Full reviewWebsite
Skyflow logo

Skyflow

APIs

Data privacy vault that holds sensitive records outside your own systems

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: BigID pricing scales with data sources and volume, so the cost rises exactly as the estate you need to scan grows, and the modules shown in a demo, including AI security posture and headless deployment, are frequently separate licences that appear only in the final quote.; Skyflow reported contracts near 195,000 US dollars a year with a platform fee before usage put this out of reach of early stage companies, which are precisely the ones whose architecture is still cheap to change.
  • They diverge on capability: BigID covers Structured and unstructured scanning, Skyflow covers Tokenised storage.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which BigID and Skyflow actually diverge.

Attributes where BigID and Skyflow differ
AttributeBigIDSkyflow
PlatformsWeb, API, Self-hostedAPI, Web, Self-hosted
CategoryCybersecurityAPIs

Identical on both: starting price (On request), pricing model (quote), free tier (No), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in BigID

  • Structured and unstructured scanning
  • Identity correlation
  • Data security posture management
  • Access intelligence
  • Privacy request support
  • Retention and minimisation
  • AI data controls
  • Policy and remediation workflow

Only in Skyflow

  • Tokenised storage
  • Polymorphic encryption
  • Field level access policies
  • Data residency
  • Secure functions
  • PCI scope reduction
  • Detokenisation gateway
  • Audit trail

What people use each for

The jobs each tool is most often brought in to do.

BigID

  • A bank that has to prove which of thirty year old file shares contain customer identifiers before a data centre migrationnot Skyflow
  • A privacy team that cannot fulfil deletion requests because nobody knows which unstructured stores hold a given customer’s recordsnot Skyflow
  • A security team wanting to find sensitive data sitting in publicly readable object storage buckets before an attacker doesnot Skyflow
  • A company building retrieval augmented AI that must exclude regulated personal data from the index it feeds to a modelnot Skyflow

Skyflow

  • A fintech that wants card and bank account data out of its own infrastructure so its application servers leave PCI DSS assessment scopenot BigID
  • A company entering India or the EU with data localisation obligations that would otherwise require standing up regional databases and operationsnot BigID
  • A health technology business that needs protected health information isolated from the analytics stack while still supporting aggregate reportingnot BigID
  • An engineering team that wants support agents to see masked identifiers and payment services to see real ones, enforced centrally rather than in every servicenot BigID

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

BigID

  • Pricing scales with data sources and volume, so the cost rises exactly as the estate you need to scan grows, and the modules shown in a demo, including AI security posture and headless deployment, are frequently separate licences that appear only in the final quote.
  • Scanning large unstructured estates is slow and computationally expensive, so most organisations sample rather than scan everything, which reintroduces uncertainty into the very question they bought the tool to settle.
  • Classification accuracy on messy unstructured content requires tuning, and out of the box false positives on things like reference numbers create a large triage backlog that a small governance team cannot clear.
  • It discovers and reports but does not remediate, so realising value requires a separate process and often separate tooling to actually delete, restrict or move the data it flags.
  • It is built for large enterprises and both the price and the administrative overhead are disproportionate below a few thousand employees, where a lighter DSPM tool covers the security use case for far less.

Skyflow

  • Reported contracts near 195,000 US dollars a year with a platform fee before usage put this out of reach of early stage companies, which are precisely the ones whose architecture is still cheap to change.
  • Every read of a protected field becomes a network call to a third party, so latency and an external availability dependency enter paths that were previously local database reads, and outage planning has to account for a vendor you do not control.
  • Analytics and joins on vaulted data are constrained; work that was a simple SQL join now happens through secure functions or on tokens, and data teams routinely discover this after the engineering team has committed.
  • Unwinding the vault later is a rewrite rather than a migration because tokens are threaded through every service, so the switching cost climbs steadily and the negotiating position at renewal weakens with each release.
  • Scope reduction is an architectural claim your own assessor must accept, so the audit saving is real only if the implementation genuinely keeps sensitive values off your systems, and partial implementations that leave a cache or a log line in place deliver the cost without the benefit.

Pricing, plan by plan

BigID

On request
  • BigID Platform$undefined/year
    • Priced by number of data sources and data volume
    • Discovery and classification core
    • Optional DSPM, access intelligence and AI security modules licensed separately

Skyflow

On request
  • Skyflow Data Privacy Vault$undefined/year
    • Platform fee plus usage by data subject count
    • Priced additionally per data residency region
    • PCI Level 1, SOC 2 Type 2, ISO 27001 and HIPAA coverage

Which should you pick?

Choose BigID if

  • You need structured and unstructured scanning.
  • You work on Web, API, Self-hosted.
  • You also want identity correlation.
BigID review

Choose Skyflow if

  • You need tokenised storage.
  • You work on API, Web, Self-hosted.
  • You also want polymorphic encryption.
Skyflow review

Questions people ask

Is BigID or Skyflow better?
Neither clearly leads. BigID starts at On request and Skyflow at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigID or Skyflow?
BigID starts at On request and Skyflow at On request.
Does BigID or Skyflow run on more platforms?
BigID runs on Web, API, Self-hosted. Skyflow runs on API, Web, Self-hosted.
What is BigID best used for?
BigID is most often used for a bank that has to prove which of thirty year old file shares contain customer identifiers before a data centre migration, a privacy team that cannot fulfil deletion requests because nobody knows which unstructured stores hold a given customer’s records, a security team wanting to find sensitive data sitting in publicly readable object storage buckets before an attacker does, a company building retrieval augmented ai that must exclude regulated personal data from the index it feeds to a model. Of those, a bank that has to prove which of thirty year old file shares contain customer identifiers before a data centre migration and a privacy team that cannot fulfil deletion requests because nobody knows which unstructured stores hold a given customer’s records are not what Skyflow is typically brought in for.
What can BigID do that Skyflow cannot?
BigID covers Structured and unstructured scanning, Identity correlation, Data security posture management, Access intelligence. Skyflow covers Tokenised storage, Polymorphic encryption, Field level access policies, Data residency.

Answered from the vendors’ own pages

BigID: What does BigID cost?

It is quoted by data source count and volume. Reported contracts run from roughly 15,000 to 175,000 US dollars a year, and add-on modules such as AI security posture are licensed on top.

Skyflow: Does Skyflow really take my systems out of PCI scope?

It can, if card data never touches your infrastructure and the detokenisation happens at the boundary. Your QSA has to agree the design, so validate the architecture with your assessor before signing.

BigID: Does it handle unstructured data?

Yes, and that is its main advantage. It classifies data in files and shares and correlates findings back to individuals, not just to data types.

Skyflow: What does it cost?

Nothing is published. Reported annual contracts sit around 195,000 US dollars, built from a platform fee plus usage by data subject count and additional charges per data residency region.

BigID: Will it delete the data it finds?

Not by itself in most deployments. It identifies and routes findings; deletion and remediation happen through your own processes or connected systems.

Skyflow: How does it help with data localisation?

Records can be pinned to a specified region, so an Indian or EU residency requirement is met by the vault rather than by you running regional databases and operations teams.

BigID: Is it a privacy tool or a security tool?

Both are sold from the same discovery core. Buyers increasingly come from security wanting data security posture management rather than from legal wanting privacy.

Skyflow: Can I still run analytics on vaulted data?

Partly. Aggregates and comparisons are supported through polymorphic encryption and secure functions, but arbitrary joins against other datasets are harder than they were, and this is the most common late surprise.

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