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Cybersecurity · head to head

BigID vs WorkOS

BigID logo

BigID

Cybersecurity

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

From
On request
Rated
-
WorkOS logo

WorkOS

Cybersecurity

Developer platform for enterprise-ready authentication and identity.

From
$125/one-time per connection
Rated
-

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.; WorkOS authKit free tier limited to 1 million monthly active users; additional millions cost $2,500/month
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which BigID and WorkOS actually diverge.

Attributes where BigID and WorkOS differ
AttributeBigIDWorkOS
Starting priceOn request$125/one-time per connection
Pricing modelquoteusage-based
PlatformsWeb, API, Self-hostedWeb, API

Identical on both: free tier (No), user rating (Not yet rated), category (Cybersecurity).

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 WorkOS

Nothing recorded that BigID does not also cover.

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 WorkOS
  • A privacy team that cannot fulfil deletion requests because nobody knows which unstructured stores hold a given customer’s recordsnot WorkOS
  • A security team wanting to find sensitive data sitting in publicly readable object storage buckets before an attacker doesnot WorkOS
  • A company building retrieval augmented AI that must exclude regulated personal data from the index it feeds to a modelnot WorkOS

WorkOS

  • SaaS applications needing rapid enterprise SSO deploymentnot BigID
  • Companies selling to mid-market and enterprise customersnot BigID
  • Applications requiring SCIM directory sync with corporate identity systemsnot BigID
  • Product teams needing audit logs for compliance (SOC 2, ISO 27001)not BigID
  • Platforms with multiple identity provider requirementsnot 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.

WorkOS

  • AuthKit free tier limited to 1 million monthly active users; additional millions cost $2,500/month
  • Per-connection pricing for SSO and Directory Sync ($125–$50 each) scales poorly for enterprises with many identity providers
  • Audit logs require separate subscription at $125/month per SIEM connection or $99/month per 1 million events
  • Radar fraud protection billed separately at $100/month per 50,000 additional checks beyond 1,000 free checks
  • Custom domain feature requires $99/month subscription
  • Requires annual commitment for SLA and support guarantees; pay-as-you-go tier lacks uptime guarantee

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

WorkOS

$125/one-time per connection
  • Pay as You Go$undefined/variable
    • Per-connection pricing from $125 to $50 with volume discounts
    • Up to 60% discount at scale
    • Quick deployment
  • Annual Credits$undefined/variable
    • Custom pricing with volume discounts
    • 99.99% uptime SLA
    • Guided migration

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.

Choose WorkOS if

  • You work on Web, API.

Questions people ask

Is BigID or WorkOS better?
Neither clearly leads. BigID starts at On request and WorkOS at $125/one-time per connection, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigID or WorkOS?
BigID starts at On request and WorkOS at $125/one-time per connection.
Does BigID or WorkOS run on more platforms?
BigID runs on Web, API, Self-hosted. WorkOS runs on Web, API.
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 WorkOS is typically brought in for.
What can BigID do that WorkOS cannot?
BigID covers Structured and unstructured scanning, Identity correlation, Data security posture management, Access intelligence.

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.

WorkOS: How quickly can I implement WorkOS SSO?

Developers can implement single sign-on in minutes instead of months. Multiple customers report setting up SSO in less than a week, with WorkOS handling the complexity of SAML and OIDC protocols.

Source
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.

WorkOS: What SDKs does WorkOS provide?

WorkOS offers SDKs for Node.js, Python, Ruby, Go, PHP, Java, and .NET.

Source
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.

WorkOS: Does WorkOS support SCIM provisioning?

Yes. WorkOS supports SCIM provisioning integration with systems like Okta and Entra ID for automated user management.

Source
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.

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