Software · head to head
Elastic Stack vs Greenhouse

Elastic Stack
Software
Search, Observability, and Security Solutions
- From
- On request
- Rated
- -
The short version
- Each has a real cost: Elastic Stack self-managed deployment requires licensing based on node count and RAM usage; Greenhouse core plan lacks talent discovery and contact lookups
- They diverge on capability: Elastic Stack covers Full-text search, Greenhouse covers Applicant tracking.
Where they differ
Only the attributes on which Elastic Stack and Greenhouse actually diverge.
| Attribute | Elastic Stack | Greenhouse |
|---|---|---|
| Pricing model | subscription | quote |
| Platforms | Cloud-hosted, Self-managed, Docker, Kubernetes (ECK) | Web, Ios, Android, Api |
| Founded | 2011 | 2012 |
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 Elastic Stack
- Full-text search
- Log analytics
- Security monitoring
- Alerting
- API
- Webhooks
- REST
- Web support
Only in Greenhouse
- Applicant tracking
- Interview scheduling
- Scorecard system
- Job board posting
- Candidate CRM
- Reporting & analytics
- Offer management
- EEO compliance
What people use each for
The jobs each tool is most often brought in to do.
Elastic Stack
- Distributed search and analytics engine for production-scale workloadsnot Greenhouse
- Full-text search and vector search with approximate nearest neighbour supportnot Greenhouse
- Security event tracking with field-level and document-level access controlnot Greenhouse
- Machine learning capabilities including anomaly detection and forecastingnot Greenhouse
Greenhouse
- Applicant tracking system for structured hiringnot Elastic Stack
- AI-powered interview notetaking and sourcingnot Elastic Stack
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Elastic Stack
- Self-managed deployment requires licensing based on node count and RAM usage
- Serverless option has pending features including traffic filtering and bring-your-own-key encryption
- Hosted deployment requires custom resource configuration for cluster management
- Pricing models differ significantly across Hosted, Serverless, and Self-managed options
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
Pricing, plan by plan
Elastic Stack
On requestNo published plan breakdown. See the Elastic Stack review.
Greenhouse
On requestNo published plan breakdown. See the Greenhouse review.
Which should you pick?
Choose Elastic Stack if
- You need full-text search.
- You work on Cloud-hosted, Self-managed, Docker, Kubernetes (ECK).
- You also want log analytics.
Choose Greenhouse if
- You need applicant tracking.
- You work on Web, Ios, Android, Api.
- You also want interview scheduling.
Questions people ask
- Is Elastic Stack or Greenhouse better?
- Neither clearly leads. Elastic Stack starts at On request and Greenhouse at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Elastic Stack or Greenhouse?
- Elastic Stack starts at On request and Greenhouse at On request.
- Does Elastic Stack or Greenhouse run on more platforms?
- Elastic Stack runs on Cloud-hosted, Self-managed, Docker, Kubernetes (ECK). Greenhouse runs on Web, Ios, Android, Api.
- What is Elastic Stack best used for?
- Elastic Stack is most often used for distributed search and analytics engine for production-scale workloads, full-text search and vector search with approximate nearest neighbour support, security event tracking with field-level and document-level access control, machine learning capabilities including anomaly detection and forecasting. Of those, distributed search and analytics engine for production-scale workloads and full-text search and vector search with approximate nearest neighbour support are not what Greenhouse is typically brought in for.
- What can Elastic Stack do that Greenhouse cannot?
- Elastic Stack covers Full-text search, Log analytics, Security monitoring, Alerting. Greenhouse covers Applicant tracking, Interview scheduling, Scorecard system, Job board posting.
Related pages
More on Elastic Stack
Keep looking
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