Who each option is best for, and where either supplier is deliberately narrower.
Vendor comparison
BigID vs Ketch: capability comparison
A side-by-side comparison of BigID and Ketch across RoPA, DPIA, vendor risk, AI governance and evidence workflows. Acompli is shown as a third reference column.
BigIDKetchComparison
Which public claims, review signals, caveats and capability rows are evidenced.
How much work it takes to implement, maintain and export the privacy record.
The questions a privacy team should ask before switching or shortlisting.
On this page
Key takeaways
- BigID and Ketch are compared here on public-documentation capability coverage: BigID is publicly documented for 15 of 20 tracked capabilities, Ketch for 19.
- The clearest difference: Ketch adds Policy/notice management, Training module, Spreadsheet import, Public pricing, which BigID doesn't publicly document.
- BigID's public lane is Enterprise data security posture management (DSPM), data discovery, AI governance and privacy automation; Ketch's public lane is Enterprise data privacy, consent/CMP, DSR, data mapping, AI, assessments and privacy orchestration.
- Capability coverage reflects what each vendor publicly documents; confirm current scope, pricing and exports directly with each vendor.
01Short answer
BigID vs Ketch
BigID is positioned as: Enterprise data security posture management (DSPM), data discovery, AI governance and privacy automation. Ketch is positioned as: Enterprise data privacy, consent/CMP, DSR, data mapping, AI, assessments and privacy orchestration. BigID and Ketch overlap on most tracked capabilities, so buyers usually decide on depth, operating model and how defensibly each exports rather than on a feature checklist.
Ketch has broader public-documentation coverage in this comparison (19 of 20 tracked rows, compared with 15 for BigID). Capability coverage below reflects what each vendor publicly documents; Acompli is shown as a third reference column.
02At a glance
BigID vs Ketch at a glance
| Decision question | BigID | Ketch | Acompli |
|---|---|---|---|
| Best fit | Large enterprises with complex multi-cloud data estates needing data discovery, classification, security (DSPM) and AI risk governance at scale | Enterprises and mid-market teams looking for broad data privacy management with consent, cookie management, DSARs, data mapping and assessments across GDPR, CCPA and US state laws | Privacy teams that want focused, connected GDPR and AI governance records - RoPA, DPIA, risk, vendor - anchored in Ireland, the UK and the EU, without an enterprise data-security rollout |
| Operating model | An enterprise data-security and discovery platform (DSPM): classification across 100+ sources, data mapping, DSR, consent, AI security and privacy automation | A broad US data-privacy and consent platform: consent/CMP, cookie management, DSR, data mapping, AI and assessments with transparent tiered pricing | Connected, evidence-traceable privacy and AI-governance records across RoPA, DPIA, risk, vendors, data mapping and code scan |
| When to choose it | Choose BigID when data discovery, classification and data security at scale across a complex data estate are the central requirement | Choose Ketch when consent, cookie management and broad data-privacy operations across multiple regimes, with transparent self-serve pricing, are central requirements | Choose Acompli when the priority is defensible privacy records and EU/UK fit rather than enterprise-wide data discovery and security |
- Best for: Large enterprises managing complex multi-cloud environments that need integrated data security, data discovery, privacy compliance and AI risk governance at scale.
- Deployment: Enterprise platform with an agentless architecture across multi-cloud and SaaS sources; deployment specifics should be verified with the vendor.
- Best for: Enterprise and mid-market privacy and marketing teams needing consent, DSAR/DSR, data mapping, AI governance, assessments, tracker management and privacy operations.
- Deployment: Enterprise privacy/consent platform with public plan tiers; deployment is website/app/privacy orchestration oriented.
05Official source signals
What BigID and Ketch emphasise publicly
This section uses each vendor's own public positioning as the starting point. It is included so customers can see why the two companies may appear in the same shortlist while still solving different problems.
The capability table remains conservative: "Y" means a capability was publicly documented, while "N" means it was not publicly confirmed in the reviewed material.
BigID official platform pages
Visit the official BigID website.
ExploreKetch official platform pages
Visit the official Ketch website.
Explore| Signal | BigID | Ketch |
|---|---|---|
| Public positioning | BigID positions itself around data security, privacy, compliance and AI governance, with discovery and classification as the foundation. | Ketch positions itself around responsible data use, consent, preference and privacy rights orchestration. |
| Main public signals | Official pages emphasise sensitive-data discovery, classification and data security posture management across enterprise data sources.; Privacy coverage is presented as part of a wider data intelligence and security platform, not only a privacy workflow tool.; The public product lane includes AI governance and security signals, plus privacy automation use cases such as DSR and consent-related workflows. | Official pages emphasise consent and preference management, data subject rights, privacy operations and policy enforcement.; The strongest public lane is customer-facing privacy experience plus governance over data use choices.; Ketch is a strong comparator where consent, preferences and rights workflows are the centre of the buying case. |
| Best-fit buyer | Large enterprises managing complex multi-cloud environments that need integrated data security, data discovery, privacy compliance and AI risk governance at scale | Enterprise and mid-market privacy and marketing teams needing consent, DSAR/DSR, data mapping, AI governance, assessments, tracker management and privacy operations |
| Buyer verification | Ask BigID to demonstrate the workflows behind the modules that matter to your team, with export evidence and plan scope. | Ask Ketch to demonstrate the workflows behind the modules that matter to your team, with export evidence and plan scope. |
06Sourced 2025-2026 signals
What's new at BigID (2025-2026, sourced)
Sources reviewed on 2026-07-05. Confirm current features and commercial terms directly with the vendor.
BigID achieved FedRAMP Authorized status in March 2026 through a partnership with Knox Systems, extending its platform to U.S. federal, defense and intelligence agencies. BigID states that it supports NIST SP 800-53, CMMC, FISMA, EO 14028, OMB guidance and the DoD Zero Trust Framework.
BigID was named a Leader in The Forrester Wave: Privacy Management Software, Q4 2025, published December 2, 2025. BigID states it received the highest score of evaluated vendors across 19 criteria; the announcement cites personal-data discovery, dynamic privacy risk assessment and AI risk assessment as strengths.
BigID relaunched its core product as BigID Next on February 24, 2025. The company describes it as an AI-powered data security, compliance and privacy platform with a modular architecture, prompt-based classification and agentic AI assistants.
BigID acquired Argentine cookie-consent startup illow on January 31, 2025 and launched BigID CMP Express on November 18, 2025. BigID describes the standalone consent-management product as offering two-minute signup, AI-powered cookie classification, Global Privacy Control support and transparent pricing without vendor lock-in.
On March 30, 2026, BigID announced a unified privacy-management capability combining personal-data discovery, data-rights and DSAR automation, consent enforcement and AI privacy governance. BigID says the workflows support more than 100 regulations, including GDPR and CPRA.
07Sourced 2025-2026 signals
What's new at Ketch (2025-2026, sourced)
Sources reviewed on 2026-07-05. Confirm current features and commercial terms directly with the vendor.
On Gartner Peer Insights, Ketch shows a 4.8/5 rating from 28 reviews in the Consent and Preference Management market (independently visible on Gartner's site), while Ketch's own marketing materials claim it is the '#1 ranked consent management platform on Gartner Peer Insights' at 4.9/5 -- these are close but not identical figures, so the vendor's superlative claim should be treated as marketing framing rather than quoted as the raw Gartner figure.
Ketch was named a Leader in G2's Summer 2026 reports, announced June 18, 2026, earning 22 badges across 41 reports in consent management, DSAR, data privacy management, cookie tracking and sensitive-data discovery. G2 showed Ketch at 4.6/5 from 147 reviews.
Ketch launched Data Sentry on April 22, 2025. Ketch describes it as a frontend data map that scans outbound website data packets to identify misconfigured consent-management platforms, tracking pixels firing after opt-out and unauthorised transfers of sensitive data.
Ketch has raised USD 43 million across two funding rounds, Series A and A1, with its most recent disclosed round in 2021. This funding information is reported by Crunchbase.
08Overlap and gaps
BigID vs Ketch: what the public data actually shows
Feature count is only a starting point. A customer should separate shared coverage from unique public signals, then test whether the vendor can run the required workflow end to end.
| Decision point | Public signal | Buyer interpretation |
|---|---|---|
| Shared evidenced coverage | DPIA/PIA assessments; RoPA / Article 30; DSAR / privacy rights; Data mapping; Vendor risk; Privacy risk; AI governance; plus 8 more | If your requirement sits here, compare workflow depth, implementation effort, evidence quality and price. |
| Only BigID publicly confirmed | BigID has no unique tracked public capability against Ketch in this dataset. | Keep BigID on the shortlist for these requirements, but ask Ketch whether the same capability exists in current product scope. |
| Only Ketch publicly confirmed | Policy/notice management; Training module; Spreadsheet import; Public pricing | Keep Ketch on the shortlist for these requirements, but ask BigID whether the same capability exists in current product scope. |
| Acompli reference column | No Acompli-only edge against both vendors appears in the tracked rows. | Use this as a third reference point where a narrower evidence-first privacy workflow may be preferable to a broader platform. |
09Capability comparison
BigID vs Ketch: capability by capability
Each capability is marked Y or N for BigID and Ketch based on what each vendor publicly documents, with Acompli shown in the final column.
| Capability | BigID | Ketch | Acompli |
|---|---|---|---|
| DPIA/PIA assessments | Y | Y | Y |
| RoPA / Article 30 | Y | Y | Y |
| DSAR / privacy rights | Y | Y | N |
| Data mapping | Y | Y | Y |
| Vendor risk | Y | Y | Y |
| Privacy risk | Y | Y | Y |
| AI governance | Y | Y | Y |
| Consent management | Y | Y | N |
| Cookie/tracker scanning | Y | Y | N |
| Breach/incident management | N | N | N |
| Retention management | Y | Y | Y |
| Policy/notice management | N | Y | N |
| Training module | N | Y | N |
| Approval workflows | Y | Y | Y |
| Audit trail | Y | Y | Y |
| Role-based access control | Y | Y | Y |
| Multi-entity support | Y | Y | Y |
| Spreadsheet import | N | Y | Y |
| PDF/CSV/Excel export | Y | Y | Y |
| Public pricing | N | Y | N |
10Where each is stronger
BigID vs Ketch: the differences that matter
On the tracked capabilities, BigID and Ketch overlap on most rows; the differences that matter are the capabilities only one of them evidences, plus the depth and focus each brings to them.
- Only Ketch (not BigID) is evidenced for: Policy/notice management, Training module, Spreadsheet import, Public pricing.
- BigID: Data discovery and classification at enterprise scale across 100+ data sources.
- BigID: Data security posture management (DSPM), access governance and AI security (shadow-AI discovery).
- Ketch: Consent and cookie/tracker management (a full CMP).
- Ketch: Transparent, self-serve public pricing with a free tier and tiered plans.
11Customer due diligence
Questions customers should ask before choosing BigID or Ketch
A useful comparison should move beyond a product page checklist. Customers should ask each supplier to prove the same live workflow, with the same assumptions, so the difference between platform breadth and usable evidence becomes visible.
Run one real workflow
Ask BigID and Ketch to process the same example: new activity, assessment, RoPA update, supplier evidence, risk record, review and export.
Check evidence provenance
Confirm whether each important field in BigID and Ketch has a source, owner, review date and change history, not just a completed form.
Validate exports
Ask both vendors for a regulator-readable export for one legal entity, including controller and processor records where relevant.
Confirm commercial scope
Verify which modules, integrations, service hours, data residency options and support commitments are included in the quoted BigID or Ketch package.
12Shortlisting notes
Choosing between BigID and Ketch
Assess BigID and Ketch against the workflow you actually need to run - RoPA, DPIA, vendor and risk records - and how defensibly each exports its evidence.
- Shortlist BigID when data discovery, classification and data security at scale across a complex data estate are the central requirement.
- Shortlist Ketch when consent, cookie management and broad data-privacy operations across multiple regimes, with transparent self-serve pricing, are central requirements.
- Put the same case to BigID and Ketch: take one processing activity through its assessment, the RoPA update, supplier evidence, the privacy risk and a defensible export, and watch where each needs manual work.
13Ireland & UK
BigID vs Ketch: Article 30 records for Irish and UK teams
Both BigID and Ketch are weighed by Irish and UK privacy teams against the same fixed obligation: a record of processing activities under GDPR Article 30 - a controller record under Article 30(1) and a separate processor record under Article 30(2). In Ireland the Data Protection Commission (DPC) publishes Article 30 guidance; in the UK the ICO sets out what UK GDPR requires.
Whichever of BigID or Ketch an Irish or UK team weighs, the questions are the same: how deep is the Article 30 record, is EU and UK GDPR distinguished on one register, and can each legal entity produce a self-contained export its own supervisory authority can read?
| Article 30 check | BigID | Ketch | Why customers care |
|---|---|---|---|
| Controller record | Ask BigID to show the Article 30(1) controller fields for one processing activity, including purposes, categories, recipients, transfers, retention and security measures. | Ask Ketch to show the Article 30(1) controller fields for one processing activity, including purposes, categories, recipients, transfers, retention and security measures. | A controller record must stand on its own when a regulator or auditor asks for it. |
| Processor record | Ask BigID to show Article 30(2) processor records separately from controller records, scoped to the controller on whose behalf processing is carried out. | Ask Ketch to show Article 30(2) processor records separately from controller records, scoped to the controller on whose behalf processing is carried out. | Many tools capture controller records more clearly than processor records; customers should verify both. |
| Ireland and UK fit | Ask BigID how EU GDPR and UK GDPR records are separated or tagged for Irish and UK entities. | Ask Ketch how EU GDPR and UK GDPR records are separated or tagged for Irish and UK entities. | Irish DPC and UK ICO expectations are close, but entity scope, local law references and export format still matter. |
| Standalone export | Ask BigID for a complete export that a legal entity could provide without giving the regulator product access. | Ask Ketch for a complete export that a legal entity could provide without giving the regulator product access. | A defensible record should be readable outside the platform, with enough context to explain the processing activity. |
- Article 30(1) and 30(2) - does each of BigID and Ketch model controller and processor records separately, scoped by legal entity?
- DPC (Ireland) and ICO (UK) - is EU and UK GDPR distinguished on one register for BigID or Ketch?
- Export - can BigID or Ketch let each legal entity produce a self-contained record its own supervisory authority can read?
Comparison FAQ
BigID vs Ketch questions answered
Acompli answers
Acompli: the focused alternative to both
Acompli overlap
Related Acompli workflows
BigID vs Acompli
Compare BigID directly with Acompli across RoPA, DPIA, risk and vendor records.
Open moduleKetch vs Acompli
Compare Ketch directly with Acompli across RoPA, DPIA, risk and vendor records.
Open moduleAssessments
Run DPIAs, LIAs, TIAs, processor reviews and AI Act assessments with templates, AI support and human approval.
Open moduleRoPA management
Maintain Article 30 records that stay linked to approved assessments, systems, suppliers and transfers.
Open moduleCompare BigID and Ketch against a real workflow.
Bring one RoPA, DPIA, vendor, risk or AI-governance requirement and map which parts BigID covers, which Ketch covers, and where each option fits.
Acompli architecture
One governed foundation. Five connected modules.
Imported systems, suppliers, policies, DPIAs and RoPA spreadsheets become the shared evidence model for assessments, risk, records, third-party oversight and data mapping.
- OnboardingImport DPIAs, RoPA spreadsheets, suppliers, systems, policies and documents.
- AssessmentsRun DPIAs, LIAs, TIAs, processor reviews and AI Act assessments with human approval.
- RiskExtract candidate risks from approved evidence and assign treatment plans.
- RoPAMaintain Article 30 records linked to assessments, systems, suppliers and transfers.
- Third-PartyRecord suppliers once, then reference them across assessments, RoPA, risk and maps.
- Data MappingBuild a living view of systems, suppliers, locations, categories and transfers.
Point tools create records. Acompli connects them.