Technology · head to head
Greenhouse vs PostgreSQL

PostgreSQL
Databases
The world's most advanced open source relational database
- From
- Free
- Rated
- -
The short version
- Only PostgreSQL has a free tier, so it costs nothing to try first.
- Each has a real cost: Greenhouse core plan lacks talent discovery and contact lookups; PostgreSQL requires manual scaling across multiple machines for very large deployments
- They diverge on capability: Greenhouse covers Applicant tracking, PostgreSQL covers ACID Compliance.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Greenhouse and PostgreSQL actually diverge.
| Attribute | Greenhouse | PostgreSQL |
|---|---|---|
| Starting price | On request | Free |
| Pricing model | quote | Unknown |
| Free tier | No | Yes |
| Platforms | Web, Ios, Android, Api | Linux, Windows, macOS, BSD, Unix |
| Category | Technology | Databases |
| Founded | 2012 | 1996 |
Identical on both: user rating (Not yet rated).
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 PostgreSQL
- ACID Compliance
- JSON/JSONB Support
- Full-text Search
- Extensibility
- Advanced Indexing
- Partitioning
- Replication
- pgAdmin
What people use each for
The jobs each tool is most often brought in to do.
Greenhouse
- Enterprise hiring and recruiting automationnot PostgreSQL
- Multi-location and multi-team talent acquisitionnot PostgreSQL
- Structured interview process managementnot PostgreSQL
PostgreSQL
- Transaction processingnot Greenhouse
- Data storagenot Greenhouse
- Application backendnot Greenhouse
- Reportingnot Greenhouse
- Data analyticsnot 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
PostgreSQL
- Requires manual scaling across multiple machines for very large deployments
- Performance tuning requires deep knowledge of database internals
- No built-in graphical admin interface; command-line tools are primary method
Pricing, plan by plan
Greenhouse
On requestNo published plan breakdown. See the Greenhouse review.
PostgreSQL
FreeNo published plan breakdown. See the PostgreSQL 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 PostgreSQL if
- You need acid compliance.
- You want to start without paying.
- You work on Linux, Windows, macOS, BSD, Unix.
- You also want json/jsonb support.
Questions people ask
- Is Greenhouse or PostgreSQL better?
- Neither clearly leads. Greenhouse starts at On request and PostgreSQL at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Greenhouse or PostgreSQL?
- PostgreSQL has a free tier; the other does not. Paid plans start at On request for Greenhouse and Free for PostgreSQL.
- Does Greenhouse or PostgreSQL run on more platforms?
- Greenhouse runs on Web, Ios, Android, Api. PostgreSQL runs on Linux, Windows, macOS, BSD, Unix.
- Can I use PostgreSQL for free?
- Yes. PostgreSQL has a free tier, so you can try it without paying. Greenhouse starts at On request.
- What is Greenhouse best used for?
- Greenhouse is most often used for enterprise hiring and recruiting automation, multi-location and multi-team talent acquisition, structured interview process management. Of those, enterprise hiring and recruiting automation and multi-location and multi-team talent acquisition are not what PostgreSQL is typically brought in for.
- What can Greenhouse do that PostgreSQL cannot?
- Greenhouse covers Applicant tracking, Interview scheduling, Scorecard system, Job board posting. PostgreSQL covers ACID Compliance, JSON/JSONB Support, Full-text Search, Extensibility.
Answered from the vendors’ own pages
Greenhouse: How much does Greenhouse cost?
Greenhouse does not publish specific pricing. The company states that pricing is customized based on your hiring needs, hiring volume, organizational complexity, and required features.
SourcePostgreSQL: Is PostgreSQL completely free?
Yes. PostgreSQL is completely free and open source with no licensing fees or restrictions on use.
SourceGreenhouse: What are the Greenhouse pricing tiers?
Greenhouse offers three plan levels: Core (basic hiring structure), Plus (multi-location optimization), and Pro (complex enterprise hiring). Exact pricing requires contacting Greenhouse for a custom quote.
SourcePostgreSQL: What platforms does PostgreSQL run on?
PostgreSQL runs on all major operating systems including Linux, Windows, macOS, BSD, and commercial Unix variants, and has been proven highly scalable managing terabytes to petabytes of data.
SourceGreenhouse: Do all Greenhouse tiers include the same features?
No. Core includes sourcing and scheduling, Plus adds automation and texting, and Pro adds enterprise data configuration and audit logs. All tiers can be customized.
SourcePostgreSQL: What procedural languages are supported?
PostgreSQL supports stored functions and procedures in multiple languages including PL/pgSQL, Perl, Python, Tcl, Java, JavaScript, R, and Rust.
SourcePostgreSQL: What is ACID compliance in PostgreSQL?
PostgreSQL has been ACID-compliant since 2001, ensuring data integrity through atomicity, consistency, isolation, and durability guarantees for all transactions.
SourcePostgreSQL: Does PostgreSQL support JSON data?
Yes. PostgreSQL supports JSON and JSONB data types for storing and querying JSON documents, along with XML and other document formats.
SourceRelated pages
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- PostgreSQL vs Eclipse
- PostgreSQL vs Postgres
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- PostgreSQL vs Mixpanel
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- PostgreSQL vs PostHog
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- PostgreSQL vs IBM Db2
- PostgreSQL vs Cockroach Labs
- PostgreSQL vs DuckDB
- PostgreSQL vs Aiven
- PostgreSQL vs SQLite
- PostgreSQL vs Couchbase
- PostgreSQL vs QuestDB
- PostgreSQL vs FaunaDB
- PostgreSQL vs Firestore
- PostgreSQL vs Amazon Redshift
- PostgreSQL vs Apache Pinot
- PostgreSQL vs DataGrip
- PostgreSQL vs Apache Pulsar
- PostgreSQL vs Cassandra
- PostgreSQL vs CouchDB

