Database & Data Management · head to head
Apache Pinot vs DuckDB
Apache Pinot
Database & Data Management
Real-time distributed OLAP datastore for analytics
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Apache Pinot self-hosted and distributed, so running it means operating a cluster rather than consuming a service; DuckDB client-server setup remains in beta and not recommended for production distributed scenarios
- They diverge on capability: Apache Pinot covers Real-time Analytics, DuckDB covers In-process Execution.
Where they differ
Only the attributes on which Apache Pinot and DuckDB actually diverge.
| Attribute | Apache Pinot | DuckDB |
|---|---|---|
| Platforms | Linux, Docker, Kubernetes | Linux, macOS, Windows, WebAssembly |
| Founded | 1999 | 2019 |
Identical on both: starting price (Free), pricing model (open-source), free tier (Yes), user rating (Not yet rated), category (Database & Data Management).
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 Pinot
- Real-time Analytics
- Column-oriented
- Distributed Processing
- SQL Support
- Pluggable Indexing
- Star-tree Index
- Upsert Support
- Kafka
Only in DuckDB
- In-process Execution
- Columnar Storage
- Vectorized Execution
- Rich SQL Support
- Parquet Support
- CSV/JSON Import
- Zero Dependencies
- Python
Both cover
- Linux support
What people use each for
The jobs each tool is most often brought in to do.
Apache Pinot
- Sub-second analytics queries on freshly ingested datanot DuckDB
- User-facing dashboards inside a productnot DuckDB
- Real-time metrics at high ingest ratesnot DuckDB
- Petabyte-scale analytics as run at LinkedIn and Ubernot DuckDB
DuckDB
- Analytics and data warehousingnot Apache Pinot
- OLAP queries and data explorationnot Apache Pinot
- Data science and machine learning workflowsnot Apache Pinot
- Multi-format data ingestion and processingnot Apache Pinot
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Apache Pinot
- Self-hosted and distributed, so running it means operating a cluster rather than consuming a service
- Managed hosting comes from third parties such as StarTree rather than from the project
- Built for user-facing real-time OLAP, so it is not a general purpose database
DuckDB
- Client-server setup remains in beta and not recommended for production distributed scenarios
Pricing, plan by plan
Apache Pinot
Free- Open SourceFree
- Real-time analytics
- SQL queries
- Horizontal scaling
DuckDB
FreeNo published plan breakdown. See the DuckDB review.
Which should you pick?
Choose Apache Pinot if
- You need real-time analytics.
- You want to start without paying.
- You work on Linux, Docker, Kubernetes.
- You also want column-oriented.
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.
Questions people ask
- Is Apache Pinot or DuckDB better?
- Neither clearly leads. Apache Pinot starts at Free and DuckDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Apache Pinot or DuckDB?
- Apache Pinot starts at Free and DuckDB at Free.
- Does Apache Pinot or DuckDB run on more platforms?
- Apache Pinot runs on Linux, Docker, Kubernetes. DuckDB runs on Linux, macOS, Windows, WebAssembly.
- Can I use Apache Pinot for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Apache Pinot best used for?
- Apache Pinot is most often used for sub-second analytics queries on freshly ingested data, user-facing dashboards inside a product, real-time metrics at high ingest rates, petabyte-scale analytics as run at linkedin and uber. Of those, sub-second analytics queries on freshly ingested data and user-facing dashboards inside a product are not what DuckDB is typically brought in for.
- What can Apache Pinot do that DuckDB cannot?
- Apache Pinot covers Real-time Analytics, Column-oriented, Distributed Processing, SQL Support. DuckDB covers In-process Execution, Columnar Storage, Vectorized Execution, Rich SQL Support. Both handle Linux support.