ClickHouse vs Splunk

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

Splunk is the stronger AI pick in Observability: it has a visibility score of 22.5 versus 0.9 for ClickHouse, and ranks ahead in 100% of the answers that name both.

Choose ClickHouse if…

You want a lower entry price ($0.218 vs $15)
AI answers describe it more positively (58% vs 21% positive)
You need HIPAA or PCI coverage
fast real-time analytics

Choose Splunk if…

You want the brand AI engines rank higher (22.5 vs 0.9)
You want a free plan to start
You need more native integrations (2000+ vs 100+)
You need a self-hosted or on-premises option

AI visibility side by side

Latest weekly run · Nov 3

Metric	ClickHouse	Splunk
Visibility score	0.9%	22.5%
Change vs last week	New	New
Rank in Observability	#31	#6
Share of voice	0.3%	5.8%
Mentions this run	2	35
Positive in AI answers	58%	21%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

ClickHouse 0pp · Splunk 0pp over 0 weekly runs.

Engine by engine

Splunk leads on 3 of 3 engines

ChatGPT

0.9%

30.2%

AI Mode

1.7%

15.4%

Perplexity

21.9%

ClickHouseSplunk

Head to head in AI answers

1 engine answers name both brands

0ClickHouse ranked higher

1Splunk ranked higher

Prompt	Engine	ClickHouse	Splunk
Alternatives to the most popular observability platform	ChatGPT	#14	#12

Features, pricing & fit

Dimension	ClickHouse	Splunk
Pricing model	Usage-based	Usage-based
Entry price	$0.218 / mo	Free; paid from $15 / mo
Free plan	No · 30-day trial	Yes
Deployment	ClickHouse Cloud on AWS, GCP and Azure, self-managed open-source installs, and Bring Your Own Cloud within the customer's own VPC.	Splunk Cloud Platform as SaaS, or Splunk Enterprise in a private cloud or on-premises, including air-gapped environments
Integrations	100+	2000+
Compliance	HIPAA, PCI	—
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	Standard support included with product purchases, Premium support available, Support Portal for capacity changes
Founded	2009	2003
Headquarters	Palo Alto, CA, United States	San Francisco, California, US
Employees	501–1,000	5,000+
Funding	Series D, led by Dragoneer	IPO
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.	SecOps, ITOps and engineering teams that run large volumes of machine data and need security and observability in one platform