IT AI Index
Index Vendors › Splunk · September 2026 Edition
8 categories · Ranked

Splunk

324Judge labels
23First choices
174Negative labels
12 of 12Models named it
8Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.
Best standing
41% in Logs for enterprise buyers
Rank 59 of 59 in the mid-market standingcriticized challenger
0 of 12 models made it the first choice on the direct prompt; 53% of its 51 labels there were negative.
By buyer segmentStrongest at enterprise.
In logs · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Splunk for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Log managementIT operations and endpoint0%59 of 5953%51criticized challenger
SIEM platformsSecurity operations0%49 of 4959%22criticized challenger
Observability platformsIT operations and endpoint0%63 of 6347%19criticized challenger
Infrastructure monitoringIT operations and endpoint0%28 of 6517%6under 10 labels · led by Site24x7 at 24%
Application performance monitoringIT operations and endpoint0%56 of 7025%4under 10 labels · led by New Relic at 54%
Container and Kubernetes securityCloud and infrastructure0%70 of 78100%1under 10 labels · led by Aqua Security at 18%
Error and crash monitoringDeveloper platform0%38 of 44100%1under 10 labels · led by Sentry at 82%
Threat intelligence platformsSecurity operations0%118 of 128100%1under 10 labels · led by NordStellar at 13%

Movement

This is the first edition on this tier, so no move can be computed for Splunk yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Splunk across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.5004711
GPT-5.4 mini015410
Gemini 3.5 Flash02158
Perplexity Sonar00112
Grok 4.1 Fast013610
Mistral Small01618
DeepSeek V4 Flash022610
Llama 4 Maverick00314
Qwen 3.7 Flash013913
Kimi K2006612
GLM 4.7 FlashX112610
MiniMax M2.503227

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct62 labels9
Paraphrase52 labels10
Comparative43 labels7not counted in share
Budget-constrained36 labelsNone
Scale-constrained51 labels4
Negative80 labelsNone
First choiceAlternativeMentionNegative324 labels in all, every segment counted; 23 of the 30 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“If you have a large Security team: Choose Splunk. The search capabilities and security integrations are unmatched.” GLM 4.7 FlashX · Logs · comparative prompt · first choice
“Large enterprise, strict security & compliance, heavy SIEM use | Splunk Enterprise / Splunk Cloud | Best-in-class search language” MiniMax M2.5 · Logs · comparative prompt · alternative
“Splunk is ideal only when you need its deep SIEM and query capabilities and can absorb its higher per‑GB pricing.” GLM 4.7 FlashX · Logs · direct prompt · alternative
“Choose Splunk if you are a large corporate entity where IT operations... must live inside the same data ecosystem.” Gemini 3.5 Flash · Observability · comparative prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

“Why avoid: Even a modest log volume quickly pushes the budget well beyond what most SMEs can afford.” GLM 4.7 FlashX · SIEM · budget prompt · hard negative
“Avoid Splunk for mid-market—it's enterprise-priced (~$150/GB/day list, $10K+/mo easily) and overkill” Grok 4.1 Fast · Logs · direct prompt · hard negative
“Extremely expensive - Historically known for some of the highest costs in the industry” Kimi K2 · Observability · negative prompt · hard negative
“Avoid for lean teams: Splunk (unless you have dedicated admins and budget headroom).” DeepSeek V4 Flash · SIEM · negative prompt · hard negative

Named alongside

The products named in the same answers as Splunk, over the 322 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Splunk was named but was not.
ProductSame answerTook the first choice insteadHead to head
Datadog Log Management143 of 32215Not in the top three
Elastic Stack120 of 3223Not in the top three
Dynatrace99 of 32212Not in the top three
Datadog93 of 32225Not in the top three
Grafana Loki88 of 32215Not in the top three
New Relic85 of 3226Not in the top three
Graylog76 of 3224Not in the top three
Microsoft Sentinel73 of 32216Not in the top three
Sumo Logic70 of 3222Not in the top three
New Relic Logs53 of 3224Not in the top three
A head-to-head page exists where both products are in a category's top three. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Splunk. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 218 of the 322 answers that named Splunk and are not a share of its labels.

Domains cited

openobserve.ai78
middleware.io67
cribl.io65
toolradar.com65
gartner.com64
dash0.com56
signoz.io55
reddit.com51
cubeapm.com49
parseable.com43

593 of the 593 domain citations in answers naming Splunk came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as Splunk

What the judge wrote, as written, with how often. The vendor table decides that these count as Splunk; a claim can dispute any of them.
SignalFx/Splunk 1Splunk (A Cisco Company) 1Splunk (Observability Cloud) 1Splunk (SPL) 1Splunk (Standard Enterprise Log Platform) 1Splunk Cloud 1Splunk Enterprise 1Splunk Enterprise / Cloud 1
Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Splunk's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Splunk, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at splunk.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.