Every category where a model named OpenRefine 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
CRM data quality and deduplication	Revenue operations	2%	10 of 104	22%	9	under 10 labels · led by Insycle at 34%

Movement

This is the first edition on this tier, so no move can be computed for OpenRefine yet. The next is due October 1, 2026. 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 OpenRefine across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

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

Direct1 labelNone

Paraphrase1 labelNone

Comparative4 labelsNone

Budget-constrained9 labels2

Scale-constrained2 labelsNone

Negative4 labelsNone

First choiceAlternativeMentionNegative21 labels in all, every segment counted; 2 of the 2 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.

“Why best for tight budgets: Zero cost, powerful fuzzy/near-duplicate matching via clustering... test OpenRefine first (zero risk)” Grok 4.1 Fast · CRM data quality · budget prompt · first choice

“OpenRefine, a free and powerful tool for data quality management” Llama 4 Maverick · CRM data quality · budget prompt · alternative

“Best Free Option: OpenRefine” Mistral Small · CRM data quality · budget 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.

“Requires significant time investment, technical expertise needed, no CRM integration” Kimi K2 · CRM data quality · budget prompt · soft negative

“Requires more technical expertise” GLM 4.7 FlashX · CRM data quality · direct prompt · soft negative

Named alongside

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

ProductSame answerTook the first choice insteadHead to head

Insycle16 of 215Not in the top three

DemandTools15 of 211Not in the top three

Cleanlist11 of 215Not in the top three

Cloudingo11 of 211Not in the top three

Dedupely9 of 211Not in the top three

Apollo.io9 of 210Not in the top three

Koalify6 of 212Not in the top three

HubSpot Operations Hub6 of 210Not in the top three

Informatica5 of 212Not in the top three

Duplicate Check5 of 211Not 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.

The company

OpenRefine.

Website: openrefine.org

From Wikidata, fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata · LinkedIn

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 OpenRefine'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 OpenRefine, 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 openrefine.org 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.