Software · head to head
DynamoDB vs Greenhouse

DynamoDB
Software
Fast, flexible NoSQL database service for any scale
- From
- On request
- Rated
- -
The short version
- Each has a real cost: DynamoDB noSQL-only; does not support complex relational queries or SQL joins; Greenhouse core plan lacks talent discovery and contact lookups
- They diverge on capability: DynamoDB covers Single-digit Millisecond Latency, Greenhouse covers Applicant tracking.
Where they differ
Only the attributes on which DynamoDB and Greenhouse actually diverge.
| Attribute | DynamoDB | Greenhouse |
|---|---|---|
| Pricing model | usage-based | quote |
| Platforms | AWS | Web, Ios, Android, Api |
| Founded | 2006 | 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 DynamoDB
- Single-digit Millisecond Latency
- Serverless
- Auto-scaling
- Global Tables
- Point-in-time Recovery
- Encryption
- Streams
- Lambda
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.
DynamoDB
- High-scale, variable-workload applicationsnot Greenhouse
- Mobile and IoT device backendsnot Greenhouse
- Real-time analytics and dashboardsnot Greenhouse
- Multi-region, globally distributed applicationsnot Greenhouse
Greenhouse
- Applicant tracking system for structured hiringnot DynamoDB
- AI-powered interview notetaking and sourcingnot DynamoDB
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
DynamoDB
- NoSQL-only; does not support complex relational queries or SQL joins
- Limited query flexibility; requires thinking in terms of keys and indexes rather than ad-hoc queries
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
DynamoDB
On requestNo published plan breakdown. See the DynamoDB review.
Greenhouse
On requestNo published plan breakdown. See the Greenhouse review.
Which should you pick?
Choose DynamoDB if
- You need single-digit millisecond latency.
- You work on AWS.
- You also want serverless.
Choose Greenhouse if
- You need applicant tracking.
- You work on Web, Ios, Android, Api.
- You also want interview scheduling.
Questions people ask
- Is DynamoDB or Greenhouse better?
- Neither clearly leads. DynamoDB 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, DynamoDB or Greenhouse?
- DynamoDB starts at On request and Greenhouse at On request.
- Does DynamoDB or Greenhouse run on more platforms?
- DynamoDB runs on AWS. Greenhouse runs on Web, Ios, Android, Api.
- What is DynamoDB best used for?
- DynamoDB is most often used for high-scale, variable-workload applications, mobile and iot device backends, real-time analytics and dashboards, multi-region, globally distributed applications. Of those, high-scale, variable-workload applications and mobile and iot device backends are not what Greenhouse is typically brought in for.
- What can DynamoDB do that Greenhouse cannot?
- DynamoDB covers Single-digit Millisecond Latency, Serverless, Auto-scaling, Global Tables. Greenhouse covers Applicant tracking, Interview scheduling, Scorecard system, Job board posting.
Related pages
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- Greenhouse vs Asana
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