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Business Intelligence · head to head

NetBase Quid vs Zenlytic

NetBase Quid logo

NetBase Quid

Business Intelligence

Consumer and market intelligence combining social listening with unstructured text analytics

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: NetBase Quid nothing about pricing is published and the review sites carry no plan data either, so you cannot size a budget without entering a sales process, and reported costs put it out of reach of small and mid-sized teams.; 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: NetBase 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 NetBase Quid and Zenlytic actually diverge.

Attributes where NetBase Quid and Zenlytic differ
AttributeNetBase QuidZenlytic

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 NetBase Quid

  • Social listening
  • Network visualisation
  • Unstructured data analytics
  • Image and logo analytics
  • Custom taxonomies
  • Alerting
  • AI agent library
  • API and exports

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.

NetBase Quid

  • A consumer goods strategy team mapping five years of category news and patent filings to find unserved product territorynot Zenlytic
  • A brand insights function tracking how consumer language about an ingredient shifts across social and news simultaneouslynot Zenlytic
  • A corporate development team sizing an adjacent market from filings, transcripts and press before commissioning a consultancynot Zenlytic
  • An agency building a category point of view for a pitch that needs evidence broader than social conversation alonenot Zenlytic

Zenlytic

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

Where each one falls short

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

NetBase Quid

  • Nothing about pricing is published and the review sites carry no plan data either, so you cannot size a budget without entering a sales process, and reported costs put it out of reach of small and mid-sized teams.
  • The two halves of the platform came from separate companies and still feel like separate products, which means the workflow from a social finding to a market-map investigation involves more manual bridging than the marketing implies.
  • The network visualisations are compelling in a demo and demanding in practice; teams without an analyst who understands clustering tend to produce pretty maps they cannot defend in a meeting.
  • Historical social data beyond the contracted window is typically an additional cost, so a retrospective study you did not scope at signing turns into a change order.
  • The rebrand from NetBase Quid to Quid has left documentation, support material and third-party integration listings under a mixture of names, which makes finding accurate current information about the product harder than it should be.

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

NetBase Quid

On request
  • Quid$undefined/year
    • Social listening with sentiment and emotion analysis
    • Network visualisation of unstructured corpora
    • News, patent and filing datasets

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 NetBase Quid if

  • You need social listening.
  • You also want network visualisation.
NetBase Quid review

Choose Zenlytic if

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

Questions people ask

Is NetBase Quid or Zenlytic better?
Neither clearly leads. NetBase 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, NetBase Quid or Zenlytic?
NetBase Quid starts at On request and Zenlytic at On request.
Does NetBase Quid or Zenlytic run on more platforms?
Both run on Web, so platform support will not decide this one for you.
What is NetBase Quid best used for?
NetBase Quid is most often used for a consumer goods strategy team mapping five years of category news and patent filings to find unserved product territory, a brand insights function tracking how consumer language about an ingredient shifts across social and news simultaneously, a corporate development team sizing an adjacent market from filings, transcripts and press before commissioning a consultancy, an agency building a category point of view for a pitch that needs evidence broader than social conversation alone. Of those, a consumer goods strategy team mapping five years of category news and patent filings to find unserved product territory and a brand insights function tracking how consumer language about an ingredient shifts across social and news simultaneously are not what Zenlytic is typically brought in for.
What can NetBase Quid do that Zenlytic cannot?
NetBase Quid covers Social listening, Network visualisation, Unstructured data analytics, Image and logo analytics. Zenlytic covers Zoe conversational agent, YAML semantic layer, LookML import, Row and column permissions.

Answered from the vendors’ own pages

NetBase Quid: Is NetBase Quid the same as Quid?

Yes. The merged company now trades as Quid and netbasequid.com redirects to quid.com.

Zenlytic: Does Zenlytic publish pricing?

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

NetBase Quid: Does it publish pricing?

No. Contracts are annual and quoted, and independent review sites list no plan pricing at all.

Zenlytic: Can it read my Looker model?

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

NetBase Quid: Is there a trial?

The site offers a two-week trial on request rather than open self-service signup.

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.

NetBase Quid: Is this a replacement for a social listening tool?

It can be, but you would be paying for the market intelligence half as well. If you only need social monitoring, cheaper tools cover it.

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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