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Colocation providers · October 2026 Edition

Flexential vs DataBank

Four of fourteen models named Flexential first on the direct prompt; three named DataBank. Flexential was named by eight of the fourteen models and DataBank by nine and Flexential carries 14 labels and DataBank 15, so the shares are not directly comparable.

Flexential

accepted challenger

Named in one category this edition.

DataBank

accepted challenger

Named in one category this edition.

First-choice share15%10%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#4A position in a field of 9; printed, not drawn.
Labels1415A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Flexential reading right to left. Rank and label count are printed, not drawn.TierPoint was named alongside these two in eight of the fourteen direct answers. TierPoint vs Flexential · TierPoint vs DataBank · Flexential vs Equinix

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen 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 colocation providers page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
FlexentialFirst choices, of fourteen modelsDataBank
Direct43
Paraphrase11
Comparative00
Budget-constrained10
Scale-constrained00
Negative00
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the October 2026 Edition, Flexential and DataBank were named in the same answer eighteen times, of the 38 answers naming Flexential and the 37 naming DataBank. In those answers DataBank took the first choice three times and Flexential five.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Flexential and DataBank 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
GPT-6 Luna
Muse Glimmer 30B
Flexential DataBank first choice named as an alternative argued againstblank: not namedEach cell is one answer, Flexential on the left and DataBank on the right.

The direct prompt

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

Flexential first, DataBank an alternative

4 of 14 modelsDataBank was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashFlexential alternatives: Centersquare, CoreSite, Iron Mountain Data Centers, TierPoint
DeepSeek V4 FlashFlexential alternatives: DataBank, TierPoint
GLM 4.7 FlashXFlexential, TierPoint alternatives: CoreSite, CyrusOne, DataBank, Iron Mountain Data Centers, QTS
GPT-6 LunaFlexential alternatives: CoreSite, Equinix, TierPoint

DataBank first, Flexential not the choice

3 of 14 modelsFlexential was named in the answer but not as the choice, or not at all.
Grok 4.1 FastDataBank, TierPoint alternatives: Equinix
Mistral SmallDataBank, Equinix
Qwen 3.7 FlashDataBank, Digital Realty alternatives: Equinix, NTT Global Data Centers

Neither was the first choice, one was named

3 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniEquinix alternatives: CoreSite, Flexential, TierPoint
Kimi K2TierPoint alternatives: Cologix, DataBank
Muse Glimmer 30BTierPoint alternatives: CoreSite, CyrusOne, Cyxtera, DataBank, Equinix, Flexential, NTT

Neither was named

4 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5no first choice
Perplexity SonarCoreSite alternatives: Iron Mountain Data Centers, NTT Global Data Centers
Llama 4 Maverickno first choice
MiniMax M2.5no first choice

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
Flexential leads by four points.
Flexential10%#2 of 8
DataBank6%#3 of 8
The full small business standing →
Mid-marketThe figures above
Flexential leads by five points.
Flexential15%#2 of 9
DataBank10%#4 of 9
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Flexential0%#– of 9
DataBank0%#– of 9
The full enterprise standing →

What the models said about Flexential

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

“I would start with Flexential—it balances service quality, geographic coverage, and mid-market-specific support better than any other option.” DeepSeek V4 Flash · direct prompt · first choice
“Flexential (Best Overall for Hybrid IT & Lean IT Teams) ... widely considered a gold standard for mid-market enterprises” Gemini 3.5 Flash · direct prompt · first choice
“I'd start with Flexential for a typical mid-market B2B company” GPT-6 Luna · direct prompt · first choice

What the models said about DataBank

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

“Start with DataBank or Digital Realty for a balance of price, performance, and reliability.” Qwen 3.7 Flash · direct prompt · first choice
“I'd start with DataBank, in the metro closest to your users and IT staff.” GPT-6 Luna · paraphrase prompt · first choice
“DataBank and TierPoint shine for mid-market value/compliance” Grok 4.1 Fast · direct prompt · first choice
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.