Business Intelligence · head to head
Pigment vs Quid

Pigment
Business Intelligence
Enterprise business planning platform for finance, sales and workforce modelling
- From
- On request
- Rated
- -

Quid
Business Intelligence
Consumer and market intelligence combining social listening with unstructured text network analysis
- From
- On request
- Rated
- -
The short version
- Each has a real cost: Pigment no pricing is published and the structure has three moving parts, platform fee, use-case fees and tiered seats, so two companies of the same size can pay very different amounts and neither can benchmark the other.; Quid the company has changed name twice, from NetBase to NetBase Quid to Quid, which fragments documentation, third-party comparisons and support material across three brand identities and makes older guidance unreliable.
- They diverge on capability: Pigment covers Dimensional modelling, Quid covers Social listening.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Pigment and Quid actually diverge.
Identical on both: starting price (On request), pricing model (quote), free tier (No), platforms (Web), user rating (Not yet rated), category (Business Intelligence).
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 Pigment
- Dimensional modelling
- Scenario planning
- Data connectors
- Application blocks
- Reporting and boards
- Access control
- Audit trail
- AI assistance
Only in Quid
- Social listening
- Network analysis
- Non-social data sets
- Quid Terminal
- Quid Monitor
- AI agents
- Image analytics
- API access
What people use each for
The jobs each tool is most often brought in to do.
Pigment
- A finance team retiring a fragile Excel consolidation that no one can audit and only one person can runnot Quid
- Sales operations modelling quota, territory and headcount capacity against a revenue plan in the same system finance usesnot Quid
- A company that needs monthly re-forecasting fast enough to run scenarios live in the leadership meetingnot Quid
- Replacing an ageing Anaplan estate where the model has become unmaintainable and per-workspace costs have crept upnot Quid
Quid
- A corporate strategy team mapping which technology clusters in a patent set are accelerating and which companies own them, before an acquisition decisionnot Pigment
- A consumer insights function that wants to know what themes drive negative sentiment about a category rather than counting mentions of its own brandnot Pigment
- An innovation group scanning research literature and startup activity for adjacent white space it has no internal expertise innot Pigment
- A brand tracking how a reputational incident propagates across news, social and forums with sentiment broken down by theme rather than by channelnot Pigment
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Pigment
- No pricing is published and the structure has three moving parts, platform fee, use-case fees and tiered seats, so two companies of the same size can pay very different amounts and neither can benchmark the other.
- Cost scales with planning processes rather than with company size, so a successful first deployment creates internal demand that directly increases the bill at renewal.
- It requires a modelling owner. Without a person who understands dimensional design, teams rebuild spreadsheet patterns in Pigment and inherit all the maintenance problems they were trying to escape.
- Implementation is partner-led and measured in months, so the payback horizon is long compared with lighter FP&A tools that a controller can configure alone.
- The connector library covers major systems well but the long tail is thinner than the incumbents, and industry-specific source systems often need a warehouse or a file drop in between.
Quid
- The company has changed name twice, from NetBase to NetBase Quid to Quid, which fragments documentation, third-party comparisons and support material across three brand identities and makes older guidance unreliable.
- Nothing is published on price and contracts sit well above ordinary listening tools, so the evaluation cost is high before you know whether the network analysis will actually be used.
- The network maps require an analyst who knows how to interpret them; teams without a dedicated insights person tend to use the platform as an expensive listening tool and never touch the capability they paid for.
- Historical data depth and source coverage are scoped per contract rather than included, so a question that needs five years of back data can require a contract amendment mid-project.
- Social platform access is subject to the same API restrictions that affect every listening vendor, and coverage of closed networks is thinner than the marketing implies, which matters if your category lives in private communities.
Pricing, plan by plan
Pigment
On request- Pigment platform$undefined/year
- Platform fee plus per use-case fees
- Licences tiered as editor, contributor and explorer
- No free tier and no self-service signup
Quid
On request- Quid$undefined/year
- Quid Terminal analyst workspace
- Social listening and sentiment
- Network analysis over patents, filings, news and research
Which should you pick?
Questions people ask
- Is Pigment or Quid better?
- Neither clearly leads. Pigment starts at On request and Quid at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Pigment or Quid?
- Pigment starts at On request and Quid at On request.
- Does Pigment or Quid run on more platforms?
- Both run on Web, so platform support will not decide this one for you.
- What is Pigment best used for?
- Pigment is most often used for a finance team retiring a fragile excel consolidation that no one can audit and only one person can run, sales operations modelling quota, territory and headcount capacity against a revenue plan in the same system finance uses, a company that needs monthly re-forecasting fast enough to run scenarios live in the leadership meeting, replacing an ageing anaplan estate where the model has become unmaintainable and per-workspace costs have crept up. Of those, a finance team retiring a fragile excel consolidation that no one can audit and only one person can run and sales operations modelling quota, territory and headcount capacity against a revenue plan in the same system finance uses are not what Quid is typically brought in for.
- What can Pigment do that Quid cannot?
- Pigment covers Dimensional modelling, Scenario planning, Data connectors, Application blocks. Quid covers Social listening, Network analysis, Non-social data sets, Quid Terminal.
Answered from the vendors’ own pages
Pigment: Does Pigment publish prices?
No. Expect a quote combining a platform fee, fees per planning use case, and seat licences split into editor, contributor and explorer tiers.
Quid: Is this the same company as NetBase?
Yes. NetBase and Quid merged in 2020, traded as NetBase Quid, and now sell under the single Quid brand.
Pigment: Is Pigment an alternative to Anaplan?
It is positioned directly against Anaplan and much of its customer base is migrating from it, mainly citing modelling readability and recalculation speed.
Quid: Is it a social listening tool?
It includes social listening, but the reason to buy it is the network analysis over patents, filings, news and research. If you only need social listening, cheaper tools cover it.
Pigment: Can we use it without consultants?
In practice most deployments use Pigment or a partner for the initial build. Ongoing model changes can be handled in-house once someone owns the modelling discipline.
Quid: What does it cost?
Not published. Expect an annual enterprise contract priced by seats, data sources and historical depth.
Pigment: Where is data hosted?
Pigment is a European vendor with regional hosting options, which is often the deciding factor for EU buyers with data residency requirements.
Quid: Who uses it day to day?
Corporate insights, strategy and innovation analysts more often than social media managers. It rewards someone trained in analysis.
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