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Business Intelligence · head to head

Quid vs Zenlytic

Quid logo

Quid

Business Intelligence

Consumer and market intelligence combining social listening with unstructured text network analysis

From
On request
Rated
-
Full reviewWebsite
Zenlytic logo

Zenlytic

Business Intelligence

Conversational analytics on a governed semantic layer that shows you the SQL it ran

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: 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.; Zenlytic answer quality is bounded by the semantic model, so a team without a maintained dbt project and metric definitions must complete a modelling project before the AI is useful at all.
  • They diverge on capability: Quid covers Social listening, Zenlytic covers Zoe conversational agent.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Quid and Zenlytic actually diverge.

Attributes where Quid and Zenlytic differ
AttributeQuidZenlytic

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 Quid

  • Social listening
  • Network analysis
  • Non-social data sets
  • Quid Terminal
  • Quid Monitor
  • AI agents
  • Image analytics
  • API access

Only in Zenlytic

  • Zoe conversational agent
  • YAML semantic layer
  • LookML import
  • Row and column permissions
  • Dashboards
  • dbt integration
  • Embedded analytics
  • Query transparency

What people use each for

The jobs each tool is most often brought in to do.

Quid

  • A corporate strategy team mapping which technology clusters in a patent set are accelerating and which companies own them, before an acquisition decisionnot Zenlytic
  • A consumer insights function that wants to know what themes drive negative sentiment about a category rather than counting mentions of its own brandnot Zenlytic
  • An innovation group scanning research literature and startup activity for adjacent white space it has no internal expertise innot Zenlytic
  • A brand tracking how a reputational incident propagates across news, social and forums with sentiment broken down by theme rather than by channelnot Zenlytic

Zenlytic

  • A data team of three fielding sixty ad hoc requests a week from operators who could answer them in chat insteadnot Quid
  • An ecommerce company where merchandisers need cohort and margin questions answered without waiting for an analystnot Quid
  • A Looker customer looking for an exit that can import existing LookML rather than remodel from scratchnot Quid
  • A finance team that needs every AI-generated number to show its SQL before it goes in a board packnot Quid

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

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.

Zenlytic

  • Answer quality is bounded by the semantic model, so a team without a maintained dbt project and metric definitions must complete a modelling project before the AI is useful at all.
  • It is a small venture-funded company in a category that Snowflake, Databricks and Microsoft are all building into natively, which is a real procurement risk on a multi-year contract.
  • Pricing is not published and is negotiated per deal, so small buyers have no benchmark and no leverage.
  • The visualisation and dashboard layer is thinner than established BI tools, so teams wanting pixel control over reporting will find it limiting.
  • It assumes a cloud data warehouse; organisations with data spread across operational databases and spreadsheets have to consolidate first, which is the expensive part of the project.

Pricing, plan by plan

Quid

On request
  • Quid$undefined/year
    • Quid Terminal analyst workspace
    • Social listening and sentiment
    • Network analysis over patents, filings, news and research

Zenlytic

On request
  • Zenlytic$undefined/year
    • Annual contract quoted by seats and deployment
    • Semantic layer, dashboards and Zoe included
    • Embedded analytics licensed separately

Which should you pick?

Choose Quid if

  • You need social listening.
  • You also want network analysis.
Quid review

Choose Zenlytic if

  • You need zoe conversational agent.
  • You also want yaml semantic layer.
Zenlytic review

Questions people ask

Is Quid or Zenlytic better?
Neither clearly leads. Quid starts at On request and Zenlytic at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Quid or Zenlytic?
Quid starts at On request and Zenlytic at On request.
Does Quid or Zenlytic run on more platforms?
Both run on Web, so platform support will not decide this one for you.
What is Quid best used for?
Quid is most often used for a corporate strategy team mapping which technology clusters in a patent set are accelerating and which companies own them, before an acquisition decision, a consumer insights function that wants to know what themes drive negative sentiment about a category rather than counting mentions of its own brand, an innovation group scanning research literature and startup activity for adjacent white space it has no internal expertise in, a brand tracking how a reputational incident propagates across news, social and forums with sentiment broken down by theme rather than by channel. Of those, a corporate strategy team mapping which technology clusters in a patent set are accelerating and which companies own them, before an acquisition decision and a consumer insights function that wants to know what themes drive negative sentiment about a category rather than counting mentions of its own brand are not what Zenlytic is typically brought in for.
What can Quid do that Zenlytic cannot?
Quid covers Social listening, Network analysis, Non-social data sets, Quid Terminal. Zenlytic covers Zoe conversational agent, YAML semantic layer, LookML import, Row and column permissions.

Answered from the vendors’ own pages

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.

Zenlytic: Does Zenlytic publish pricing?

No. Contracts are quoted annually based on seats and deployment scope.

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.

Zenlytic: Can it read my Looker model?

Yes, it imports LookML, which is the main reason Looker customers evaluate it.

Quid: What does it cost?

Not published. Expect an annual enterprise contract priced by seats, data sources and historical depth.

Zenlytic: Does it write arbitrary SQL against my warehouse?

No. Queries are constrained to the semantic layer, and the generated SQL is shown with every answer.

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.

Zenlytic: Do I need dbt?

Not strictly, but the product is designed around a modelled warehouse and works poorly without one.

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