Who each option is best for, and where either supplier is deliberately narrower.
Vendor comparison
Collibra vs BigID: capability comparison
A side-by-side comparison of Collibra and BigID across RoPA, DPIA, vendor risk, AI governance and evidence workflows. Acompli is shown as a third reference column.
CollibraBigIDComparison
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
- Collibra and BigID are compared here on public-documentation capability coverage: Collibra is publicly documented for 16 of 20 tracked capabilities, BigID for 15.
- The clearest differences: Collibra adds Breach/incident management, Policy/notice management, Spreadsheet import; BigID adds Consent management, Cookie/tracker scanning.
- Collibra's public lane is Enterprise data intelligence, data catalog, data governance, data quality, observability, data access, privacy and AI governance; BigID's public lane is Enterprise data security posture management (DSPM), data discovery, AI governance and privacy automation.
- Coverage marks reflect what each vendor publicly documents. Confirm live scope, pricing and export formats with each vendor before deciding.
01Short answer
Collibra vs BigID
Collibra is positioned as: Enterprise data intelligence, data catalog, data governance, data quality, observability, data access, privacy and AI governance. BigID is positioned as: Enterprise data security posture management (DSPM), data discovery, AI governance and privacy automation. On the tracked capabilities Collibra and BigID overlap across core privacy workflows, so the choice turns less on which features exist and more on operating model, depth and fit.
Collibra has broader public-documentation coverage in this comparison (16 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
Collibra vs BigID at a glance
| Decision question | Collibra | BigID | Acompli |
|---|---|---|---|
| Best fit | Data governance and data-management teams that need enterprise catalog, quality, observability, access, privacy and AI governance | Large enterprises with complex multi-cloud data estates needing data discovery, classification, security (DSPM) and AI risk governance at scale | Privacy teams that need GDPR and AI-governance records with source evidence, reviewer decisions and regulator-ready exports |
| Operating model | Enterprise data intelligence platform for data catalog, governance, quality, observability, access, privacy and AI governance | An enterprise data-security and discovery platform (DSPM): classification across 100+ sources, data mapping, DSR, consent, AI security and privacy automation | Privacy operations platform across RoPA, DPIA, DSAR, risk, vendors, data mapping, AI governance and evidence packs |
| When to choose it | Choose Collibra when enterprise data governance, catalog, data quality, observability and data access are the primary requirement | Choose BigID when data discovery, classification and data security at scale across a complex data estate are the central requirement | Choose Acompli when the buyer needs privacy records, approval workflows and evidence outputs rather than broad data governance |
- Best for: Data governance and data-management teams that need discovery, catalog, quality, policies, access controls, AI governance and enterprise data confidence.
- Deployment: Enterprise data intelligence and governance platform; exact deployment and packaging should be verified with Collibra for the buyer's region and product tier.
- 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.
05Official source signals
What Collibra and BigID 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.
Collibra official data intelligence pages
Open the official Collibra source used to ground this profile.
ExploreBigID official platform pages
Open the official BigID source used to ground this profile.
Explore| Signal | Collibra | BigID |
|---|---|---|
| Public positioning | Collibra positions its platform around data intelligence, governance, cataloguing, quality and lineage for enterprise data teams. | BigID positions itself around data security, privacy, compliance and AI governance, with discovery and classification as the foundation. |
| Main public signals | Official pages emphasise data governance, data catalogue, lineage, quality and policy-driven access workflows.; Privacy is adjacent to the enterprise data-governance model rather than the sole product category.; Collibra is best treated as a data-governance and data-intelligence comparator, not a narrow DSAR or DPIA workflow tool. | 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. |
| Best-fit buyer | Data governance and data-management teams that need discovery, catalog, quality, policies, access controls, AI governance and enterprise data confidence | Large enterprises managing complex multi-cloud environments that need integrated data security, data discovery, privacy compliance and AI risk governance at scale |
| Buyer verification | Ask Collibra to demonstrate the workflows behind the modules that matter to your team, with export evidence and plan scope. | Ask BigID 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 Collibra (2025-2026, sourced)
These sourced updates were researched on 2026-07-05 and are listed separately from the live comparison table so existing profile claims remain unchanged.
Collibra acquired Deasy Labs (announced July 24, 2025), a startup providing AI-powered metadata management for automatically discovering, tagging and enriching unstructured data (contracts, transcripts, reports, emails) for AI and analytics use cases. Collibra frames this (vendor claim) as making it 'the first and only platform to deliver unified governance across both structured and unstructured data.' Financial terms were not disclosed.
Collibra was named a Leader in the Gartner Magic Quadrant for Data and Analytics Governance Platforms for the second consecutive year (press release dated January 28, 2026), with Gartner citing Collibra's unified data-and-AI governance approach and 100+ native integrations (including bi-directional SAP integration) as contributing strengths. This is an independent analyst placement, not a vendor self-rating, though the interpretive commentary in the press release is Collibra's own framing.
On G2 (independent review platform, distinct from the Capterra figure already cited on the page), Collibra holds a 4.2/5 average rating from 102 verified reviews (49% five-star, 47% four-star, 1% three-star, 0% two- or one-star). Commonly cited strengths in reviews are data governance breadth, cloud-platform integration and lineage visualization; commonly cited criticisms are a steep learning curve, high pricing and complex implementation.
Vendr's marketplace page for Collibra states a median buyer pays USD 197,142 per year, a more specific, independently sourced figure sitting near the top of the existing page's cited USD 170,000-200,000 typical-contract range and consistent with (not contradicting) the current claim.
07Sourced 2025-2026 signals
What's new at BigID (2025-2026, sourced)
These sourced updates were researched on 2026-07-05 and are listed separately from the live comparison table so existing profile claims remain unchanged.
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 also states it supports NIST SP 800-53, CMMC, FISMA, EO 14028, OMB guidance and the DoD Zero Trust Framework. This is not among the certifications currently listed in the FAQ (SOC 2 Type 2, ISO 27001, SOC 3, PCI DSS, FIPS 140-2, CSA STAR).
BigID was named a Leader in The Forrester Wave: Privacy Management Software, Q4 2025 (published December 2, 2025), with BigID stating it achieved the highest score of all vendors evaluated across 19 criteria and that reviewers cited 'best-in-class capabilities in personal data discovery, dynamic privacy risk assessment, and AI risk assessment.' This is a more specific, dated analyst credential than the general 'Forrester Leader in data discovery' reference currently in the profile.
BigID relaunched its core product as 'BigID Next' on February 24, 2025, describing it (in vendor marketing language) as its 'next-gen AI-powered' data security, compliance and privacy platform with a modular architecture, prompt-based classification and agentic AI assistants. Any future copy referencing 'BigID' as a single monolithic product name should account for this rebrand/relaunch to BigID Next.
BigID acquired Argentine cookie-consent startup illow (announced January 31, 2025) and used it to launch 'BigID CMP Express' on November 18, 2025 - a standalone, self-service cookie/consent management product with a 2-minute signup, AI-powered cookie classification, Global Privacy Control (GPC) support, and (per vendor marketing) 'transparent pricing without vendor lock-in.' This gives concrete, sourced evidence behind the existing table's 'Cookie/tracker scanning: Y' entry for BigID.
On March 30, 2026, BigID announced a unified privacy management capability combining personal data discovery, data-rights/DSAR automation, consent enforcement and AI privacy governance in one system, with vendor marketing claiming automation of workflows across '100+ regulations' including GDPR and CPRA; CEO Dimitri Sirota was quoted framing the shift as 'Privacy used to be about policy. Now it has to be about data.' This is a positioning statement worth noting if BigID's data-centric (versus workflow-centric) privacy pitch is referenced.
08Overlap and gaps
Collibra vs BigID: 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 6 more | If your requirement sits here, compare workflow depth, implementation effort, evidence quality and price. |
| Only Collibra publicly confirmed | Breach/incident management; Policy/notice management; Spreadsheet import | Keep Collibra on the shortlist for these requirements, but ask BigID whether the same capability exists in current product scope. |
| Only BigID publicly confirmed | Consent management; Cookie/tracker scanning | Keep BigID on the shortlist for these requirements, but ask Collibra 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
Collibra vs BigID: capability by capability
Each row shows Collibra and BigID marked Y or N based on public documentation, with Acompli shown in the final column for reference.
| Capability | Collibra | BigID | 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 | N | Y | N |
| Cookie/tracker scanning | N | Y | N |
| Breach/incident management | Y | N | N |
| Retention management | Y | Y | Y |
| Policy/notice management | Y | N | N |
| Training module | N | N | 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 | Y | N | Y |
| PDF/CSV/Excel export | Y | Y | Y |
| Public pricing | N | N | N |
10Where each is stronger
Collibra vs BigID: the differences that matter
Most rows are shared between Collibra and BigID; what separates them is the handful of capabilities only one evidences and the specialist focus each is built around.
- Only Collibra (not BigID) is evidenced for: Breach/incident management, Policy/notice management, Spreadsheet import.
- Only BigID (not Collibra) is evidenced for: Consent management, Cookie/tracker scanning.
- Collibra: Data catalog, data governance, data quality, observability and access policies are Collibra's natural lane.
- Collibra: Enterprise data-team workflows around data confidence, stewardship, policy and usage are strong fits for Collibra.
- 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).
11Customer due diligence
Questions customers should ask before choosing Collibra or BigID
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 Collibra and BigID 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 Collibra and BigID 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 Collibra or BigID package.
12Shortlisting notes
Choosing between Collibra and BigID
Weigh Collibra and BigID on the workflow you must run end to end - RoPA, DPIA, vendor and risk records - and on how defensibly each one exports what it holds.
- Shortlist Collibra when enterprise data governance, catalog, data quality, observability and data access are the primary requirement.
- Shortlist BigID when data discovery, classification and data security at scale across a complex data estate are the central requirement.
- Ask Collibra and BigID to each demonstrate the same workflow end to end: a new processing activity, its assessment, the RoPA update, supplier evidence, the privacy risk and an exportable audit trail.
13Ireland & UK
Collibra vs BigID: Article 30 records for Irish and UK teams
Both Collibra and BigID 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 Collibra or BigID 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 | Collibra | BigID | Why customers care |
|---|---|---|---|
| Controller record | Ask Collibra to show the Article 30(1) controller fields for one processing activity, including purposes, categories, recipients, transfers, retention and security measures. | Ask BigID 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 Collibra to show Article 30(2) processor records separately from controller records, scoped to the controller on whose behalf processing is carried out. | Ask BigID 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 Collibra how EU GDPR and UK GDPR records are separated or tagged for Irish and UK entities. | Ask BigID 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 Collibra for a complete export that a legal entity could provide without giving the regulator product access. | Ask BigID 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 Collibra and BigID model controller and processor records separately, scoped by legal entity?
- EU and UK GDPR - can Collibra or BigID hold both on one register, mapped to what the DPC and ICO expect?
- Export - does Collibra or BigID let each legal entity produce a stand-alone record its supervisory authority can read without platform access?
Comparison FAQ
Collibra vs BigID questions answered
Acompli answers
Acompli: the focused alternative to both
Acompli overlap
Related Acompli workflows
Collibra vs Acompli
Compare Collibra directly with Acompli across RoPA, DPIA, risk and vendor records.
Open moduleBigID vs Acompli
Compare BigID directly with Acompli across RoPA, DPIA, risk and vendor records.
Open moduleData mapping
Build a living view of systems, suppliers, locations, data categories and transfers.
Open moduleRoPA management
Maintain Article 30 records that stay linked to approved assessments, systems, suppliers and transfers.
Open moduleCompare Collibra and BigID against a real workflow.
Bring one RoPA, DPIA, vendor, risk or AI-governance requirement and map which parts Collibra covers, which BigID 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.