DuckDBSimple, feature-rich, fast and open source analytical SQL database.
vs
TeradataTurn intelligence into autonomous action
Comparison · Data Warehouse · weekly run Nov 3
DuckDB vs Teradata
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
DuckDB is the stronger AI pick in Data Warehouse: it has a visibility score of 9.9 versus 5.7 for Teradata, and ranks ahead in 50% of the answers that name both.
Choose DuckDB if…
- You want the brand AI engines rank higher (9.9 vs 5.7)
- AI answers describe it more positively (37% vs 36% positive)
- Open-source, in-process analytical database
- Free and excellent for local analytics on small datasets
Choose Teradata if…
- You need a self-hosted or on-premises option
- You need SOC 2 Type II or TX-RAMP or ISO/IEC 27001:2022 or IRAP PROTECTED or FedRAMP Ready at Moderate impact level on AWS coverage
- You prefer a larger, established vendor (5,000+ employees)
- Suited to large, highly regulated enterprise environments
AI visibility side by side
Latest weekly run · Nov 3
| Metric | DuckDB | Teradata |
|---|---|---|
| Visibility score | 9.9% | 5.7% |
| Change vs last week | New | New |
| Rank in Data Warehouse | #11 | #16 |
| Share of voice | 3% | 2.5% |
| Mentions this run | 17 | 14 |
| Positive in AI answers | 37% | 36% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
DuckDB 0pp · Teradata 0pp over 0 weekly runs.
Engine by engine
DuckDB leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
DuckDBTeradata
Head to head in AI answers
2 engine answers name both brands
1DuckDB ranked higher
1Teradata ranked higher
| Prompt | Engine | DuckDB | Teradata |
|---|---|---|---|
| How do companies store and query business data at scale without a dedicated tool? | AI Mode | #10 | #4 |
| Alternatives to the most popular data warehouse | Perplexity | #8 | #13 |
Features, pricing & fit
| Dimension | DuckDB | Teradata |
|---|---|---|
| Deployment | Embedded in-process, or client-server via Quack, from edge devices to servers with hundreds of cores | Cloud, on-premises and hybrid |
| Compliance | — | SOC 2 Type II, TX-RAMP, ISO/IEC 27001:2022, IRAP PROTECTED, FedRAMP Ready at Moderate impact level on AWS |
| Support | Support page on duckdb.org, GitHub issues | — |
| Founded | 2018 | 1979 |
| Headquarters | Amsterdam, Netherlands | San Diego, California |
| Employees | 11–50 | 5,000+ |
| Funding | Spinout from CWI | — |
| Best for | Developers and data engineers who want a fast analytical SQL engine embedded in an application or run on a laptop, edge device or server | — |
Pros and cons
Themes from the AI answers that mention each brand
DuckDB
- Open-source, in-process analytical database
- Free and excellent for local analytics on small datasets
- Lightweight, local-first data engineering without massive cloud infrastructure
- Free tier and simple, predictable low-cost plans via MotherDuck
- Not suited to shared, high-concurrency application databases
- Less suited to large enterprise workloads
Teradata
- Suited to large, highly regulated enterprise environments
- Mature SQL workload management and hybrid deployment options
- Strong for complex, governed enterprise workloads
- Good fit for modernizing existing Teradata environments
- High PeerSpot enterprise-warehouse rating
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “DuckDB vs Teradata”, https://slateindex.ai/compare/duckdb-vs-teradata, data of Nov 3, 2026. Licence: CC BY 4.0.