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Index GTM data and infrastructure DMP › Tealium vs BigQuery
Data management platforms · September 2026 Edition

Tealium vs BigQuery

Zero of twelve models named Tealium first on the direct prompt; zero named BigQuery. Tealium was named by ten of the twelve models and BigQuery by nine and Tealium carries 17 labels and BigQuery 12, so the shares are not directly comparable.

Tealium

accepted challenger

San Diego, United States, founded 2008. Named in six categories this edition.

BigQuery

accepted challenger

By Google Cloud Platform, founded 2008. Named in three categories this edition.

First-choice share7%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate12%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#4A position in a field of 11; printed, not drawn.
Labels1712A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Tealium reading right to left. Rank and label count are printed, not drawn.Segment was named alongside these two in eight of the twelve direct answers. Segment vs Tealium · Segment vs BigQuery · Hightouch vs Tealium

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the data management platforms page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
TealiumFirst choices, of twelve modelsBigQuery
Direct002 against Tealium
Paraphrase20
Comparative02
Budget-constrained02
Scale-constrained20
Negative00
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Tealium and BigQuery stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
Tealium BigQuery first choice named as an alternative argued againstblank: not namedEach cell is one answer, Tealium on the left and BigQuery on the right.

The direct prompt

The plain question, one answer per model, grouped by where Tealium and BigQuery stood in it.

Neither was the first choice, one was named

3 of 12 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniHightouch alternatives: ActionIQ, BlueConic, Tealium
Perplexity SonarDemandbase alternatives: Hightouch, Segment, Tealium
Grok 4.1 FastSegment alternatives: BlueConic, Hightouch, Tealium

Neither was named

9 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Salesforce Data Cloud alternatives: 6sense, BlueConic, Hightouch, Segment
Gemini 3.5 FlashAdRoll ABM, BlueConic, Hightouch, HubSpot Marketing Hub alternatives: Segment
Mistral SmallAdRoll ABM alternatives: 6sense Revenue AI, Clay, Factors.ai, HubSpot Breeze Intelligence, HubSpot Marketing Hub, Salesforce Data Cloud, Segment, Terminus, ZoomInfo MarketingOS
DeepSeek V4 FlashHightouch alternatives: BlueConic, Segment
Llama 4 MaverickMCH Strategic Data alternatives: Improvado, ZoomInfo
Qwen 3.7 FlashSegment alternatives: BlueConic, Customer.io, Hightouch
Kimi K2Apollo.io, Segment alternatives: 6sense, BlueConic, Demandbase, HubSpot Breeze Intelligence
GLM 4.7 FlashXZoomInfo Marketing alternatives: AdRoll ABM, Demandbase, Lotame Spherical Platform
MiniMax M2.5Lotame alternatives: Apollo.io, Salesforce Data Cloud

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Level: the same share of first choices.
Tealium0%#– of 13
BigQuery0%#11 of 13
The full small business standing →
Mid-marketThe figures above
Tealium leads by four points.
Tealium7%#3 of 11
BigQuery4%#4 of 11
The full mid-market standing →
Enterprise
Tealium leads by eight points.
Tealium8%#3 of 13
BigQuery0%#11 of 13
The full enterprise standing →

What the models said about Tealium

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.

“Twilio Segment (formerly Segment), Tealium, or mParticle... This is usually the safest bet for a 500-person company.” Qwen 3.7 Flash · scale prompt · first choice
“start by evaluating CDPs with strong advertising activation (like Segment, Tealium, or ActionIQ)” Kimi K2 · scale prompt · first choice

What the models said about BigQuery

No label in this category carried a quote.

Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.