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Cybersecurity · head to head

BigID vs Speakeasy

BigID logo

BigID

Cybersecurity

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

From
On request
Rated
-
Speakeasy logo

Speakeasy

Cybersecurity

AI control plane for governing enterprise agents, MCP servers, and skills

From
On request
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.; Speakeasy no self-serve pricing is published; every plan requires a sales conversation.
  • They diverge on capability: BigID covers Structured and unstructured scanning, Speakeasy covers AI tool catalog.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which BigID and Speakeasy actually diverge.

Attributes where BigID and Speakeasy differ
AttributeBigIDSpeakeasy
PlatformsWeb, API, Self-hostedweb, api

Identical on both: starting price (On request), pricing model (quote), 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 Speakeasy

  • AI tool catalog
  • Per-agent identity
  • Role-based access control
  • Real-time policy enforcement
  • Audit logging
  • MDM and SSO integration

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

Speakeasy

  • Governing AI agents at enterprise scalenot BigID
  • Preventing shadow AI tool sprawlnot BigID
  • Enforcing least-privilege access for agentsnot BigID
  • Auditing AI tool call activity for compliancenot 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.

Speakeasy

  • No self-serve pricing is published; every plan requires a sales conversation.
  • The product pivoted away from its original SDK-generation offering, so past documentation and customers built on that use case are no longer the focus.
  • Requires integration with an existing identity provider such as Okta or Entra ID to be useful, so it is not a standalone solution.
  • No published free tier or trial pricing was found.

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

Speakeasy

On request
  • Enterprise$undefined/mo
    • Custom pricing
    • AI tool catalog and visibility
    • Per-agent identity and access control

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 Speakeasy if

  • You need ai tool catalog.
  • You work on web, api.
  • You also want per-agent identity.

Questions people ask

Is BigID or Speakeasy better?
Neither clearly leads. BigID starts at On request and Speakeasy at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigID or Speakeasy?
BigID starts at On request and Speakeasy at On request.
Does BigID or Speakeasy run on more platforms?
BigID runs on Web, API, Self-hosted. Speakeasy 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 Speakeasy is typically brought in for.
What can BigID do that Speakeasy cannot?
BigID covers Structured and unstructured scanning, Identity correlation, Data security posture management, Access intelligence. Speakeasy covers AI tool catalog, Per-agent identity, Role-based access control, Real-time policy enforcement.

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.

Speakeasy: How much does Speakeasy cost?

Speakeasy offers an Enterprise tier with features including SaaS catalog integrations, custom server creation, code mode efficiency, and serverless hosting. No specific pricing is published; interested parties contact the company to discuss pricing.

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.

Speakeasy: What is included in Speakeasy's Enterprise plan?

The Enterprise plan includes SaaS catalog integrations, custom server creation, code mode efficiency, and serverless hosting. Customers contact Speakeasy to discuss their specific pricing for these features.

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.

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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