ClickHouseThe leading database for AI
vs
StarRocksSub-Second Analytics for End Users and Agents at Scale
Comparison · Data Warehouse · weekly run Nov 3
ClickHouse vs StarRocks
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
ClickHouse is the stronger AI pick in Data Warehouse: it has a visibility score of 16.5 versus 0 for StarRocks.
Choose ClickHouse if…
- You want the brand AI engines rank higher (16.5 vs 0)
- You need HIPAA or PCI coverage
- You prefer a larger, established vendor (501–1,000 employees)
- fast real-time analytics
Choose StarRocks if…
- You need SOC 2 Type 1 coverage
AI visibility side by side
Latest weekly run · Nov 3
| Metric | ClickHouse | StarRocks |
|---|---|---|
| Visibility score | 16.5% | 0% |
| Change vs last week | New | New |
| Rank in Data Warehouse | #8 | #37 |
| Share of voice | 5.4% | 0% |
| Mentions this run | 30 | 0 |
| Positive in AI answers | 58% | — |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
ClickHouse 0pp · StarRocks 0pp over 0 weekly runs.
Engine by engine
ClickHouse leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
ClickHouseStarRocks
Head to head in AI answers
0 engine answers name both brands
0ClickHouse ranked higher
0StarRocks ranked higher
Features, pricing & fit
| Dimension | ClickHouse | StarRocks |
|---|---|---|
| Pricing model | Usage-based | — |
| Entry price | $0.218 / mo | — |
| Free plan | No · 30-day trial | — |
| Deployment | ClickHouse Cloud on AWS, GCP and Azure, self-managed open-source installs, and Bring Your Own Cloud within the customer's own VPC. | Fully managed BYOC cloud on AWS, Azure, and GCP, and self-managed in the customer's own Kubernetes cluster |
| Integrations | 100+ | — |
| Compliance | HIPAA, PCI | SOC 2 Type 1 |
| Support | Expert support with 1 business day response time on Basic, Expert support with 1 hour response time on Scale, Enterprise support with 30 min response time for Severity 1 issues, Named Lead Support Engineer on Enterprise | Community Slack channel, Commercial support from technology partners such as Alibaba Cloud EMR, AWS, and ByteDance Volcano Engine |
| Founded | 2009 | — |
| Headquarters | Palo Alto, CA, United States | Menlo Park, California |
| Employees | 501–1,000 | 51–200 |
| Funding | Series D, led by Dragoneer | Series B |
| Best for | Developers and data teams that need real-time queries on large datasets at an affordable cost, including teams adding a speed layer on top of an existing data warehouse or OLTP database. | Teams that need real-time, high-concurrency analytics on fresh or lakehouse data, including workloads that serve AI agents |
Plans side by side
ClickHouse
Basic$0.218per compute unit / hr
Scale$0.299per compute unit / hr
Enterprise$0.39per compute unit / hr
StarRocks
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
ClickHouse
- fast real-time analytics
- high-concurrency analytics performance
- strong for observability and log analytics
- $300 credits and 30-day trial
- best raw performance-to-cost ratio
- self-hosting requires scaling and maintenance work
- efficient operation at very large scale needs specialized expertise
- specialist option rather than broad enterprise warehouse replacement
StarRocks
Profile in progress.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “ClickHouse vs StarRocks”, https://slateindex.ai/compare/clickhouse-vs-starrocks, data of Nov 3, 2026. Licence: CC BY 4.0.