IT AI Index

Index › Vendors › Oracle · September 2026 Edition

7 categories · Named, not ranked

Oracle

21Judge labels

0First choices

14Negative labels

9 of 12Models named it

7Categories

September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.

Standing

8 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Oracle was named 8 times in Managed databases and 6 other categories, where Amazon RDS led with 32%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business57 of 63

under the label threshold

Mid-market72 of 73

under the label threshold

Enterprise46 of 78

under the label threshold

In managed databases · 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 Oracle 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.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant
Managed relational databases	Data platform	0%	72 of 73	100%	2	under 10 labels · led by Amazon RDS at 32%
Cloud cost management	Cloud and infrastructure	0%	71 of 79	100%	1	under 10 labels · led by Vantage at 54%
Customer identity and access management	Identity and access	0%	58 of 74	100%	1	under 10 labels · led by Auth0 at 22%
Data warehouses	Data platform	0%	33 of 41	100%	1	under 10 labels · led by Snowflake at 47%
DDoS protection	Network and edge	0%	45 of 51	100%	1	under 10 labels · led by Cloudflare at 93%
Identity governance	Identity and access	0%	70 of 77	100%	1	under 10 labels · led by Lumos at 20%
Workforce identity and SSO	Identity and access	0%	37 of 48	100%	1	under 10 labels · led by Microsoft Entra ID at 36%

Movement

This is the first edition on this tier, so no move can be computed for Oracle 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 Oracle across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	Negative	Labels
Claude Haiku 4.5	0	0
GPT-5.4 mini	1	1
Gemini 3.5 Flash	0	0
Perplexity Sonar	1	1
Grok 4.1 Fast	0	0
Mistral Small	0	0
DeepSeek V4 Flash	2	2
Llama 4 Maverick	0	0
Qwen 3.7 Flash	2	2
Kimi K2	0	0
GLM 4.7 FlashX	1	1
MiniMax M2.5	1	1

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

Direct7 labelsNone

Paraphrase1 labelNone

Comparative1 labelNone

Budget-constrained1 labelNone

Scale-constrained4 labelsNone

Negative7 labelsNone

First choiceAlternativeMentionNegative21 labels in all, every segment counted; 0 of the 0 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.

No positive label carried a quote.

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.

“Start with open-source engines, not Oracle/SQL Server... Oracle starts around $45,000 for a two-core license — rarely worth it at this scale” DeepSeek V4 Flash · Managed databases · direct prompt · hard negative

“Avoid legacy enterprise tools (SailPoint, Oracle)” MiniMax M2.5 · IGA · budget prompt · hard negative

“warns to be cautious with major cloud providers like AWS, GCP, Azure, and Oracle Cloud when relying on them for DDoS defense alone” Perplexity Sonar · DDoS · negative prompt · soft negative

“usually selected for specific legacy, governance, or regional reasons rather than as the default "best overall."” GPT-5.4 mini · Workforce identity · comparative prompt · soft negative

Named alongside

The products named in the same answers as Oracle, over the 21 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Oracle was named but was not.

ProductSame answerTook the first choice insteadHead to head

Amazon RDS6 of 212Not in the top three

Azure SQL Database5 of 210Not in the top three

Saviynt Enterprise Identity Cloud4 of 212Not in the top three

Google Cloud SQL4 of 210Not in the top three

SailPoint4 of 210Not in the top three

Amazon Aurora3 of 212Not in the top three

Iden3 of 212Not in the top three

Databricks3 of 210Not in the top three

Microsoft SQL Server3 of 210Not in the top three

Okta3 of 210Not 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 Oracle. 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 18 of the 21 answers that named Oracle and are not a share of its labels.

Domains cited

g2.com7

gartner.com6

linkedin.com5

reddit.com5

cloud.google.com4

idenhq.com4

instaclustr.com4

learn.microsoft.com4

oracle.comYour site4

solutionsreview.com4

Forty-three of the forty-seven domain citations in answers naming Oracle came from somebody else's page.

Pages cited

aimultiple.com/iga-solutions3

docs.broadcom.com/doc/kuppingercole-leadership-compass-identity-and-access-governance-20243

gartner.com/reviews/market/identity-governance-administration3

idenhq.com/en/blog/identity-governance-and-administration-complete3

tech-insider.org/aws-rds-vs-azure-database-vs-google-cloud-sql-20263

accessowl.com/blog/buyers-guide-for-iga-tools-by-team-size2

algoroq.io/compare-tech/rds-vs-cloud-sql-vs-azure-sql2

blog.quest.com/cloud-data-warehouse-navigating-the-risks-and-challenges-of-adoption2

Pages are listed as the models cited them.

Names read as Oracle

What the judge wrote, as written, with how often. The vendor table decides that these count as Oracle; a claim can dispute any of them.

Oracle 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 Oracle'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 Oracle, 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 oracle.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.