Comparison

Fabric vs. Datasite

Transaction tools vs thinking tools

Last updated April 2026

Datasite is the data room investment banks use to close billion-dollar deals. Fabric is an AI workspace people use to think. Datasite manages documents during a transaction: who sees them, for how long, under what conditions. Fabric understands documents and connects them to everything else you know. One is infrastructure for a deal. The other is infrastructure for your mind. They overlap almost nowhere, but if you've used Datasite and wondered where the knowledge goes after the room closes, that's the question Fabric answers.


Comparison table


Fabric

Datasite

Pricing

See plans

Quote-based. ~$68,000/yr average (Vendr), up to $190,000. Per-page pricing ~$0.60/page. Setup fees, storage charges, and extension costs additional

Purpose

AI workspace for storing, understanding, and working with all your content

Enterprise virtual data room for managing M&A, due diligence, and complex transactions

AI

Built-in AI assistant across multiple models, contextual to your entire library

AI-powered document categorization, redaction, and summarisation. ML models trained on 3M+ documents. No general-purpose AI assistant

Content understanding

Automatic extraction, enrichment, and relationship mapping. Fabric learns from every file you save

AI categorises documents into due diligence indexes. No relationship mapping across your own knowledge

Search

Semantic, visual, colour, inside-document, inside-video, cross-platform

Full-text search within data room. Users report it struggles with document contents

Security

AES-256 encryption at rest, SSL in transit, CASA Tier 2 compliant

SOC 2, GDPR. Granular permissions, dynamic watermarking, redaction, audit trails. 24/7/365 support

Sharing & analytics

One-click publish with analytics (who viewed, when, time spent), password protection, stakeholder links

Detailed activity tracking, buyer interest analytics, document-level engagement data. Full audit trails

Q&A

AI assistant answers questions about your content

Structured Q&A module for communication between deal parties. Workflow, roles, categories

Notes & documents

Full markdown editor, real-time co-editing, version history

No document editing

Organisation

Spaces, folders, tags, kanban, grid/list/detail views, shared drives

Folder structure with auto-indexing. Request lists. Workstream management

Collaboration

Real-time co-editing, annotations on any media, comments, chat, shared drives

Q&A between parties. No co-editing, no annotations

Canvas

Spatial canvas for visual thinking, real-time multiplayer

None

Tasks

Tasks with priority, due dates, reminders, linked to files

Task tracking within Q&A and request lists

Compliance archives

Content persists as part of your library

Complimentary compliance archives created when data room closes, hosted indefinitely

Integrations

MCP, API, CLI, Zapier, Google Drive, Notion, Dropbox, GitHub, Raycast

No public API. Email upload integration

Platforms

Web, iOS, Android, desktop, Chrome extension

Web, iOS, Android


What is Datasite?

Datasite (formerly Merrill DataSite) is the premium enterprise virtual data room used by investment banks, private equity firms, corporate development teams, and law firms for M&A, fundraising, and due diligence. Its ML models, trained on over three million documents, power AI-assisted categorisation, redaction, and document summarisation. The platform manages the full sell-side process: upload, index, set permissions, track engagement, run Q&A, and close. Pricing is quote-based with per-page charges around $0.60/page. Vendr data reports an average annual cost of approximately $68,000, with some implementations reaching $190,000. Datasite is built for deals measured in billions. The pricing reflects that.


What is Fabric?

Fabric is an AI workspace that combines file storage, note-taking, search, tasks, collaboration, and publishing. The Fabric Memory Engine automatically extracts, enriches, and maps relationships between everything you save. Fabric includes publishing with analytics, password protection, and stakeholder-specific links. Where Datasite manages documents for the life of a transaction, Fabric makes documents useful for the life of your work.


Key differences

Transaction infrastructure vs knowledge infrastructure

Datasite is deal machinery. It handles the mechanics of M&A: organising thousands of documents into due diligence indexes, controlling who sees what, tracking buyer engagement, managing Q&A between parties, and producing audit trails that satisfy regulators. It does this at a scale and level of compliance that justifies its pricing. When the deal closes, the machinery stops.

Fabric is knowledge infrastructure. Every file you save is extracted, enriched, and indexed. The AI maps relationships between content. Your library grows smarter over time. There's no "closing." The documents from today's deal connect to the research from last month and the meeting notes from next week. Datasite is built for a process with a start and end date. Fabric is built for understanding that accumulates.

AI

Both products have AI. They use it for fundamentally different things.

Datasite's AI categorises uploaded documents into pre-defined due diligence indexes, redacts sensitive information, and generates document summaries. Its ML models are trained on over three million deal documents. This is workflow AI. It automates the manual labour of organising and preparing a data room.

Fabric's AI understands your content as knowledge. It answers questions across your entire library, maps relationships between documents, summarises material, transcribes audio and video, and takes actions inside the app. You can ask "what do our contracts say about change-of-control provisions?" and get an answer that spans everything you've saved. This is thinking AI. It augments what you know, not just what you file.

Search

Datasite has full-text search within data rooms. Multiple user reviews note that search struggles to pick up document contents reliably, particularly in larger rooms with thousands of files.

Fabric searches by meaning across everything. Semantic search finds content even when you describe it differently. Visual search finds similar images. In-document search goes to the page, slide, or timestamp. Cross-platform search pulls from Google Drive, Notion, and Dropbox alongside your Fabric library.

What happens after the deal

Datasite now offers complimentary compliance archives: when a data room closes, a record is created and hosted indefinitely. This is useful for regulatory compliance. But it's a static archive. You can't search it semantically, ask AI questions about it, or connect it to your next deal's materials.

Fabric's content never becomes an archive. It stays live, searchable, and AI-queryable. The documents from your last transaction connect to the documents from your next one. Precedents are findable. Patterns are visible. Institutional memory builds instead of resetting.

Pricing

Datasite is the most expensive VDR on the market. Per-page pricing at approximately $0.60/page means document-heavy deals can generate page fees exceeding $20,000 before setup fees, storage charges, and deal extensions. SRS Acquiom found that across 3,800+ M&A deals, actual VDR costs exceeded initial quotes by 2-10x. An average annual spend of $68,000, with some implementations at $190,000, puts Datasite in a category that only makes sense for large, complex transactions.

Fabric is a different category of product at a different order of magnitude in pricing. [Insert Fabric pricing details.] Comparing them on price isn't meaningful because they serve different purposes. But if you're paying Datasite prices for deal infrastructure and separately paying for notes, AI, search, collaboration, and content management tools, Fabric consolidates the latter.

Compliance and security

Datasite is SOC 2 and GDPR compliant. Granular permissions, dynamic watermarking, redaction, and full audit trails. 24/7/365 dedicated support for every project. For billion-dollar M&A transactions where a security failure would be catastrophic, Datasite's compliance infrastructure is built for that pressure.

Fabric uses AES-256 encryption and is CASA Tier 2 compliant. Not built for the specific compliance demands of enterprise M&A. If your deal requires Datasite-level compliance, that's where Datasite belongs.


When to use each

Use Fabric if you want to understand, connect, and reuse knowledge across your work. You need AI that reads your documents and answers questions about them. You want notes, collaboration, semantic search, publishing, and spatial canvases. You want institutional memory that compounds across deals, projects, and years. Your work is persistent.

Use Datasite if you're running a complex M&A transaction, IPO, or restructuring where enterprise-grade compliance, AI-powered document categorisation, structured Q&A, and billion-dollar-deal-level security are requirements. Datasite is built for deal teams at investment banks, PE firms, and large corporates managing the most sensitive transactions in the market.

Use both. Prepare, research, and build understanding in Fabric. Execute the deal in Datasite. After the deal closes, retain the knowledge in Fabric. The compliance archive stays in Datasite for regulatory purposes. The working knowledge stays in Fabric for everything that comes next.


Why people move from Datasite to Fabric

Knowledge evaporated between deals. Every transaction started from scratch. Precedents from the last deal, patterns across documents, institutional learning. None of it carried forward in usable form. Fabric's persistent, AI-aware library solves this.

They needed to think, not just transact. Datasite manages the deal process. It doesn't help you analyse what's in the documents, connect insights across deals, or build institutional knowledge. Fabric's AI does.

Not everything was a billion-dollar M&A. Sharing proposals, publishing investor updates, collaborating on internal research. Datasite's pricing and infrastructure are built for enterprise transactions. Fabric handles everyday knowledge work at everyday pricing.

Search didn't work the way they needed. Finding specific language across hundreds of documents by meaning, not by remembering filenames or folder structures. Fabric's semantic search handles what Datasite's search doesn't.


FAQs

Does Fabric have the same compliance certifications as Datasite?

No. Fabric uses AES-256 encryption and is CASA Tier 2 compliant. It does not have SOC 2 certification or the enterprise-grade compliance infrastructure Datasite provides. For regulated M&A transactions, Datasite is the appropriate tool.


Can Fabric replace Datasite?

Not for formal deal execution. Datasite's compliance, audit trails, structured Q&A, and enterprise security are built for a specific, high-stakes process. Fabric replaces the knowledge work surrounding deals: research, analysis, collaboration, institutional memory. Most teams need both.


Is Fabric free?

Fabric has a free tier with limited storage and AI. Datasite has no free plan, no public pricing, and requires a sales conversation. Average annual costs are approximately $68,000.


Does Datasite have AI? Y

es. Datasite uses AI for document categorisation into due diligence indexes, redaction, and document summarisation. Its ML models are trained on over three million documents. It doesn't have a general-purpose AI assistant that answers questions about your content the way Fabric does.


How much does Datasite cost?

Pricing is quote-based. Per-page charges are approximately $0.60/page. Vendr reports an average annual cost of ~$68,000, with some implementations reaching $190,000. Actual costs frequently exceed initial quotes by 2-10x according to SRS Acquiom data from 3,800+ deals.


Can I use Fabric alongside Datasite?

Yes. Use Fabric for research, analysis, and institutional knowledge. Use Datasite for the formal deal room. After the deal closes, retain working knowledge in Fabric. The compliance archive stays in Datasite. The thinking stays in Fabric.

The workspace that thinks with you.
Ready when you are.

The workspace that thinks with you.

Ready when you are.

The workspace that thinks with you.

Ready when you are.