Technology · head to head
Apache Druid vs Greenhouse

Apache Druid
Technology
Real-time analytics database for sub-second OLAP queries
- From
- Free
- Rated
- -
The short version
- Only Apache Druid has a free tier, so it costs nothing to try first.
- Each has a real cost: Apache Druid open-source offering lacks high-availability, distributed architecture, and enterprise security features; Greenhouse core plan lacks talent discovery and contact lookups
- They diverge on capability: Apache Druid covers Real-time Ingestion, Greenhouse covers Applicant tracking.
Where they differ
Only the attributes on which Apache Druid and Greenhouse actually diverge.
| Attribute | Apache Druid | Greenhouse |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | open-source | quote |
| Free tier | Yes | No |
| Platforms | Docker, Kubernetes, Native deployment (Java-based) | Web, Ios, Android, Api |
| Category | Unknown | Technology |
| Founded | 1999 | 2012 |
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 Apache Druid
- Real-time Ingestion
- Sub-second Queries
- Column-oriented Storage
- Streaming Integration
- Approximate Algorithms
- Flexible Schemas
- Time-based Partitioning
- Kafka
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.
Apache Druid
- Real-time analytics platforms ingesting millions of events per second from streaming sourcesnot Greenhouse
- Applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows)not Greenhouse
- Time-series and event analysis at massive scale with columnar storage efficiencynot Greenhouse
Greenhouse
- Applicant tracking system for structured hiringnot Apache Druid
- AI-powered interview notetaking and sourcingnot Apache Druid
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Apache Druid
- Open-source offering lacks high-availability, distributed architecture, and enterprise security features
- Requires native integration with Apache Kafka or Amazon Kinesis for real-time ingestion; custom integrations need development
- High-concurrency query support (hundreds of thousands QPS) requires significant cluster infrastructure investment
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
Apache Druid
FreeNo published plan breakdown. See the Apache Druid review.
Greenhouse
On requestNo published plan breakdown. See the Greenhouse review.
Which should you pick?
Choose Apache Druid if
- You need real-time ingestion.
- You want to start without paying.
- You work on Docker, Kubernetes, Native deployment (Java-based).
- You also want sub-second queries.
Choose Greenhouse if
- You need applicant tracking.
- You work on Web, Ios, Android, Api.
- You also want interview scheduling.
Questions people ask
- Is Apache Druid or Greenhouse better?
- Neither clearly leads. Apache Druid starts at Free and Greenhouse at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Apache Druid or Greenhouse?
- Apache Druid has a free tier; the other does not. Paid plans start at Free for Apache Druid and On request for Greenhouse.
- Does Apache Druid or Greenhouse run on more platforms?
- Apache Druid runs on Docker, Kubernetes, Native deployment (Java-based). Greenhouse runs on Web, Ios, Android, Api.
- Can I use Apache Druid for free?
- Yes. Apache Druid has a free tier, so you can try it without paying. Greenhouse starts at On request.
- What is Apache Druid best used for?
- Apache Druid is most often used for real-time analytics platforms ingesting millions of events per second from streaming sources, applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows), time-series and event analysis at massive scale with columnar storage efficiency. Of those, real-time analytics platforms ingesting millions of events per second from streaming sources and applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows) are not what Greenhouse is typically brought in for.
- What can Apache Druid do that Greenhouse cannot?
- Apache Druid covers Real-time Ingestion, Sub-second Queries, Column-oriented Storage, Streaming Integration. Greenhouse covers Applicant tracking, Interview scheduling, Scorecard system, Job board posting.
Related pages
More on Apache Druid
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- Apache Druid vs Aha!
- Apache Druid vs Coda
- Apache Druid vs Dashlane
- Apache Druid vs GitHub
- Greenhouse vs Cockroach Labs
- Greenhouse vs PostgreSQL
- Greenhouse vs Airtable
- Greenhouse vs Amazon Aurora
- Greenhouse vs Elasticsearch
- Greenhouse vs PlanetScale
- Greenhouse vs Azure SQL
- Greenhouse vs ClickHouse
- Greenhouse vs Couchbase
- Greenhouse vs DuckDB
- Greenhouse vs DynamoDB
- Greenhouse vs MariaDB
- Greenhouse vs Oracle Database
- Greenhouse vs Amazon RDS
- Greenhouse vs Amazon Redshift
- Greenhouse vs Cassandra
- Greenhouse vs CouchDB
- Greenhouse vs Firebolt
- 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

