Index › GTM › Products › Oracle Exadata · November 2026 Edition
Data warehouse and reverse ETL for marketing · Named, not ranked

Oracle Exadata

oracle.com ↗

–Too few to rank
3/14Models named it
0First choices
3Warnings
November 2026 Edition · all company sizes counted.
Ranked inData warehouse and reverse ETL for marketing #109 mid-market
What AI models recommend

Named, too few times to rank.

A product needs 10 labels in a category before a share is stated. Oracle Exadata has 2.

Why models recommend it

No positive label carried a quote.

What gives them pause

“Avoid: Legacy/On-Premise Solutions - IBM Netezza, Oracle Exadata, Teradata”Mistral Small · Negative question · warning
“Avoid entirely for new marketing stacks.”DeepSeek V4 Flash · Negative question · warning

Also on the shortlist

The products named in the same answers as Oracle Exadata, over the 3 answers that named it, and how often each was the first choice instead.

A side-by-side page exists where both products are among a category's top eight.

At a glance

Stated on Oracle Exadata's own site, not checked by Gane.

For
organizations
Price stated
Flexible subscription pricing with online consumption scaling
Free plan or trial
Try Oracle Cloud Free Tier
Hosting
on-premises, Oracle Cloud Infrastructure (OCI), multicloud environments with AWS, Microsoft Azure, and Google Cloud, Cloud@Customer deployments, OCI, AWS, Microsoft Azure, or Google Cloud, customers’ data centers, Microsoft Azure data centers, AWS regions
Customers named
Conduent, Banco da Amazônia, NHS Shared Business Services, Cerved, TIM Brasil
Headquarters
Bengaluru, India
Founded
1977
Visit oracle.com ↗

How this is measured

Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.

Gane sells AI visibility software. No company can pay to change a result.

Read the method →

Sources returned with these answers

The sites and pages the answers that named Oracle Exadata came back with. A fact about retrieval, not a cause of the answer.

Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 3 of the 3 answers that named Oracle Exadata and are not a share of its labels.

By model

How each model answered on Oracle Exadata across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ModelFirst choiceAlternativeMentionWarningLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.2000000
Mistral Small00011
DeepSeek V4 Flash00011
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00000