BigID

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

As of 31 August 2026, BigID's pricing is not published; the vendor quotes on request. BigID scans data stores to find and classify sensitive data, including in unstructured files where most classification tools give up. Softwr lists it under Cybersecurity. BigID is made by BigID, Inc., available on Web, API, Self-hosted.

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Overview

What BigID does

BigID is a data discovery, classification and intelligence platform. It connects to databases, data warehouses, object stores, file shares, SaaS applications and messaging systems, scans what is there and classifies personal, sensitive and regulated data, then attaches that classification to downstream use cases: privacy subject requests, data security posture management, access governance, retention and, more recently, control over what data feeds AI systems. The company is headquartered in New York. The distinguishing capability is unstructured discovery. Classifying a column called email_address in a Postgres table is not difficult; identifying national insurance numbers scattered in PDFs and spreadsheets on a fifteen year old file share, and correlating them back to a named individual, is where most programmes fail, and it is BigID’s original correlation approach. This matters commercially because the compliance obligations that create budget, deletion, retention and breach notification, all depend on knowing which files relate to which person, and a tool that only reads structured schemas cannot answer that. Buyers are large regulated enterprises, most often the data governance or security team rather than legal. The trade offs are cost and operational weight. Pricing is by data source and volume with reported contracts from roughly 15,000 to 175,000 US dollars a year, several modules including AI security posture are licensed separately, and scanning very large unstructured estates is slow and computationally expensive enough that organisations sample rather than scan fully. It is also a discovery platform, not a remediation one; it tells you where the data is and then something else has to act.

What people use it 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

Where it falls short

Concrete and checkable, so you can decide whether any of them matter to you. This is the half of a review a vendor will not write about 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.

Cross-shopped

What people choose instead of BigID

Each pairing was judged by two reviewers asking whether a buyer would genuinely weigh the two against each other. The ones that failed were deleted rather than published.

BigIDvs
Transcend
Transcend: If the requirement is fulfilling subject requests across systems rather than exhaustively classifying an estate
BigIDvs
OneTrust
OneTrust: If a privacy programme with assessments and registers matters more than deep technical discovery
BigIDvs
Skyflow
Skyflow: If you want to prevent sensitive data spreading in the first place rather than locating it afterwards

Pricing

What BigID costs

Taken from the vendor's own pricing page. Prices move, so check before you buy.

BigID Platform

On request

Priced by number of data sources and data volume
Discovery and classification core
Optional DSPM, access intelligence and AI security modules licensed separately
Enterprise support tiers priced additionally
Reported contracts from roughly 15,000 to 175,000 US dollars a year

Capabilities

Features

Structured and unstructured scanning
Discovers and classifies data in databases, warehouses, object stores, file shares and SaaS applications
Identity correlation
Links discovered data back to specific individuals rather than only labelling data types
Data security posture management
Flags overexposed, stale and misconfigured sensitive data stores
Access intelligence
Shows who can reach sensitive data and where entitlements exceed need
Privacy request support
Feeds subject access and deletion workflows with the locations of a person’s data
Retention and minimisation
Identifies data past its retention period and candidate stores for deletion
AI data controls
Governs which classified data may be used by models and retrieval systems, licensed separately
Policy and remediation workflow
Routes findings to owners for action rather than acting directly

Answered, with sources

Questions people ask

Each answer names the page it came from, so you can check it rather than take our word for it.

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.

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.

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.

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.

Keep looking

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Softwr does not host reviews and shows no star rating for BigID, because a rating we did not collect is not ours to publish. What is here is the pricing and platform detail from the vendor’s own pages, limitations we could state concretely, and alternatives a reviewer confirmed people weigh against it. Tell us if any of it is wrong.

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