Software · head to head
Greenhouse vs Looker
The short version
- Each has a real cost: Greenhouse core plan lacks talent discovery and contact lookups; Looker requires annual commitment with no month-to-month billing option
- They diverge on capability: Greenhouse covers Applicant tracking, Looker covers LookML Data Modeling.
Where they differ
Only the attributes on which Greenhouse and Looker actually diverge.
| Attribute | Greenhouse | Looker |
|---|---|---|
| Pricing model | quote | Unknown |
| Platforms | Web, Ios, Android, Api | Web, Cloud (Google Cloud Platform) |
| Founded | 2012 | 2008 |
Identical on both: starting price (On request), free tier (No), user rating (Not yet rated), category (Unknown).
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 Greenhouse
- Applicant tracking
- Interview scheduling
- Scorecard system
- Job board posting
- Candidate CRM
- Reporting & analytics
- Offer management
- EEO compliance
Only in Looker
- LookML Data Modeling
- Embedded Analytics
- API Access
- Version Control
- Data Actions
- BigQuery
- Snowflake
- Redshift
What people use each for
The jobs each tool is most often brought in to do.
Greenhouse
- Applicant tracking system for structured hiringnot Looker
- AI-powered interview notetaking and sourcingnot Looker
Looker
- Business intelligence and interactive dashboards for data-driven decision makingnot Greenhouse
- Embedded analytics for integrating BI capabilities into third-party applicationsnot Greenhouse
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Greenhouse
- Core plan lacks talent discovery and contact lookups
- Core plan lacks email automation and applicant texting
- Plus plan lacks resume anonymisation and application limits
- Plus plan lacks audit logging and developer tools
- Pricing customised by hiring volume and company size, not published
- Only Pro tier offers audit logs and developer sandbox
Looker
- Requires annual commitment with no month-to-month billing option
- Conversational analytics will incur token overage charges ($3.00 per 1M input tokens, $20.00 per 1M output tokens) after October 1, 2026
Pricing, plan by plan
Greenhouse
On requestNo published plan breakdown. See the Greenhouse review.
Looker
On requestNo published plan breakdown. See the Looker review.
Which should you pick?
Choose Greenhouse if
- You need applicant tracking.
- You work on Web, Ios, Android, Api.
- You also want interview scheduling.
Choose Looker if
- You need lookml data modeling.
- You work on Web, Cloud (Google Cloud Platform).
- You also want embedded analytics.
Questions people ask
- Is Greenhouse or Looker better?
- Neither clearly leads. Greenhouse starts at On request and Looker at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Greenhouse or Looker?
- Greenhouse starts at On request and Looker at On request.
- Does Greenhouse or Looker run on more platforms?
- Greenhouse runs on Web, Ios, Android, Api. Looker runs on Web, Cloud (Google Cloud Platform).
- What is Greenhouse best used for?
- Greenhouse is most often used for applicant tracking system for structured hiring, ai-powered interview notetaking and sourcing. Of those, applicant tracking system for structured hiring and ai-powered interview notetaking and sourcing are not what Looker is typically brought in for.
- What can Greenhouse do that Looker cannot?
- Greenhouse covers Applicant tracking, Interview scheduling, Scorecard system, Job board posting. Looker covers LookML Data Modeling, Embedded Analytics, API Access, Version Control.
Related pages
Keep looking
Other head to heads
- Greenhouse vs Asana
- Greenhouse vs ClickUp
- Greenhouse vs Figma
- Greenhouse vs Linear
- Greenhouse vs Monday.com
- Greenhouse vs Notion
- Greenhouse vs Amplitude
- Greenhouse vs Datadog
- Greenhouse vs PostHog
- Greenhouse vs PyCharm
- Greenhouse vs Sketch
- Greenhouse vs Docker
- Greenhouse vs Netlify
- Greenhouse vs Okta
- Greenhouse vs Aha!
- Greenhouse vs Coda
- Greenhouse vs Dashlane
- Greenhouse vs GitHub
- Greenhouse vs Tableau
- Greenhouse vs Metabase
- Greenhouse vs Redash
- Greenhouse vs Fibery
- Greenhouse vs Apache Superset
- Greenhouse vs Baserow
- Greenhouse vs Budibase
- Greenhouse vs NocoDB
- Looker vs Asana
- Looker vs ClickUp
- Looker vs Figma
- Looker vs Linear
- Looker vs Monday.com
- Looker vs Notion
- Looker vs Amplitude
- Looker vs Datadog
- Looker vs PostHog
- Looker vs PyCharm
- Looker vs Sketch
- Looker vs Docker
- Looker vs Netlify
- Looker vs Okta
- Looker vs Aha!
- Looker vs Coda
- Looker vs Dashlane
- Looker vs GitHub
- Looker vs Tableau
- Looker vs Metabase
- Looker vs Redash
- Looker vs Fibery
- Looker vs Apache Superset
- Looker vs Baserow
- Looker vs Budibase
- Looker vs NocoDB


