Software · head to head
DuckDB vs Elasticsearch Service
The short version
- Each has a real cost: DuckDB client-server setup remains in beta and not recommended for production distributed scenarios; Elasticsearch Service the 99.95 percent monthly uptime SLA applies only to the Platinum and Enterprise subscription tiers
- They diverge on capability: DuckDB covers In-process Execution, Elasticsearch Service covers Full-text search.
Where they differ
Only the attributes on which DuckDB and Elasticsearch Service actually diverge.
| Attribute | DuckDB | Elasticsearch Service |
|---|---|---|
| Pricing model | open-source | usage-based |
| Platforms | Linux, macOS, Windows, WebAssembly | Web, Api |
| Founded | 2019 | 2011 |
Identical on both: starting price (Free), free tier (Yes), 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 DuckDB
- In-process Execution
- Columnar Storage
- Vectorized Execution
- Rich SQL Support
- Parquet Support
- CSV/JSON Import
- Zero Dependencies
- Python
Only in Elasticsearch Service
- Full-text search
- Scalability
- High availability
- Security
- API
- Webhooks
- REST
- Web support
What people use each for
The jobs each tool is most often brought in to do.
DuckDB
- Analytics and data warehousingnot Elasticsearch Service
- OLAP queries and data explorationnot Elasticsearch Service
- Data science and machine learning workflowsnot Elasticsearch Service
- Multi-format data ingestion and processingnot Elasticsearch Service
Elasticsearch Service
- Managed Elasticsearch without running the clusternot DuckDB
- Log and observability data storage and searchnot DuckDB
- Full-text search behind an applicationnot DuckDB
- Deployments needing a specific cloud region across AWS, Azure or GCPnot DuckDB
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
DuckDB
- Client-server setup remains in beta and not recommended for production distributed scenarios
Elasticsearch Service
- The 99.95 percent monthly uptime SLA applies only to the Platinum and Enterprise subscription tiers
- Serverless does not yet support traffic filtering, cross-project search or bring-your-own-key encryption
- Serverless runs on AWS, GCP and Azure only, against 60 regions for the hosted option
- Per-unit prices are not published; hosted is resource-based and serverless usage-based
Pricing, plan by plan
DuckDB
FreeNo published plan breakdown. See the DuckDB review.
Elasticsearch Service
Free- FreeFree
- Full-text search
- Scalability
- High availability
Which should you pick?
Choose DuckDB if
- You need in-process execution.
- You want to start without paying.
- You work on Linux, macOS, Windows, WebAssembly.
- You also want columnar storage.
Choose Elasticsearch Service if
- You need full-text search.
- You want to start without paying.
- You work on Web, Api.
- You also want scalability.
Questions people ask
- Is DuckDB or Elasticsearch Service better?
- Neither clearly leads. DuckDB starts at Free and Elasticsearch Service at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, DuckDB or Elasticsearch Service?
- DuckDB starts at Free and Elasticsearch Service at Free.
- Does DuckDB or Elasticsearch Service run on more platforms?
- DuckDB runs on Linux, macOS, Windows, WebAssembly. Elasticsearch Service runs on Web, Api.
- Can I use DuckDB for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is DuckDB best used for?
- DuckDB is most often used for analytics and data warehousing, olap queries and data exploration, data science and machine learning workflows, multi-format data ingestion and processing. Of those, analytics and data warehousing and olap queries and data exploration are not what Elasticsearch Service is typically brought in for.
- What can DuckDB do that Elasticsearch Service cannot?
- DuckDB covers In-process Execution, Columnar Storage, Vectorized Execution, Rich SQL Support. Elasticsearch Service covers Full-text search, Scalability, High availability, Security.
Related pages
More on Elasticsearch Service
Keep looking
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