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ETL and ELT · October 2026 Edition

Stitch vs Talend

One of fourteen models named Stitch first on the direct prompt; zero named Talend. Stitch was named by eleven of the fourteen models and Talend by thirteen and Stitch carries 30 labels and Talend 36, so the shares are not directly comparable.

Stitch

accepted challenger

Named in one category this edition.

Talend

criticized challenger

Named in five categories this edition.

First-choice share4%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate20%25%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#5A position in a field of 18; printed, not drawn.
Labels3036A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Stitch reading right to left. Rank and label count are printed, not drawn.Fivetran was named alongside these two in twelve of the fourteen direct answers. Fivetran vs Stitch · Fivetran vs Talend · Airbyte vs Stitch

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 ETL and ELT page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
StitchFirst choices, of fourteen modelsTalend
Direct101 against Stitch
Paraphrase001 against Stitch
Comparative011 against Stitch · 1 against Talend
Budget-constrained121 against Talend
Scale-constrained001 against Talend
Negative003 against Stitch · 6 against Talend
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, Stitch and Talend were named in the same answer thirty-seven times, of the 94 answers naming Stitch and the 139 naming Talend. In those answers Talend took the first choice four times and Stitch zero.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Stitch and Talend 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
Stitch Talend first choice named as an alternative argued againstblank: not namedEach cell is one answer, Stitch on the left and Talend on the right.

The direct prompt

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

Stitch first, Talend not the choice

1 of 14 modelsTalend was named in the answer but not as the choice, or not at all.
GLM 4.7 FlashXHevo Data, Stitch alternatives: Airbyte, Fivetran

Neither was the first choice, one was named

1 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Kimi K2Hevo Data alternatives: Airbyte, Rivery, Stitch

Neither was named

12 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5no first choice
GPT-5.4 miniAirbyte, Fivetran alternatives: Matillion
Gemini 3.5 FlashFivetran alternatives: Airbyte, Hevo Data, Rivery
Perplexity SonarFivetran alternatives: Airbyte, Hevo Data
Grok 4.1 FastFivetran alternatives: Airbyte, Hevo Data, Integrate.io
Mistral SmallFivetran alternatives: Airbyte, Celigo, Workato
DeepSeek V4 FlashHevo Data alternatives: Airbyte, Fivetran
Llama 4 MaverickFivetran alternatives: Airbyte, Databricks Lakeflow, Domo
Qwen 3.7 FlashAirbyte alternatives: Fivetran, Hevo Data
MiniMax M2.5Integrate.io alternatives: Airbyte, Fivetran
GPT-6 LunaFivetran alternatives: Airbyte, Matillion
Muse Glimmer 30BFivetran alternatives: Apache Airflow, Estuary Flow, Integrate.io, Matillion, dbt

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
Stitch leads by nine points.
Stitch9%#5 of 11
Talend0%#11 of 11
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
Stitch4%#4 of 18
Talend4%#5 of 18
The full mid-market standing →
Enterprise
The order flips: Talend leads at enterprise.
Talend2%#6 of 15
Stitch0%#15 of 15
The full enterprise standing →

What the models said about Stitch

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

“Stitch has limited customer support with community forums as the primary troubleshooting resource, pricing that doesn't scale well at large data volumes” Claude Haiku 4.5 · negative prompt · soft negative
“provides straightforward data replication but lacks Fivetran's deeper customization and robust enterprise security features” Gemini 3.5 Flash · comparative prompt · soft negative
“Only ~130 connectors, less reliable at scale... Better for small startups than mid-market.” DeepSeek V4 Flash · paraphrase prompt · soft negative
“or Stitch if you need the lowest entry price for simpler ingestion needs” Perplexity Sonar · budget prompt · first choice
“Start with Hevo Data or Stitch Data for mid-market B2B companies” GLM 4.7 FlashX · direct prompt · first choice
“Stitch is a solid choice for businesses that need a simple, reliable data pipeline solution without complexity” Claude Haiku 4.5 · paraphrase prompt · alternative

What the models said about Talend

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

“If you have an existing Informatica PowerCenter, Talend Data Integration, or Azure Data Factory footprint, plan migration rather than expansion” Muse Glimmer 30B · negative prompt · hard negative
“Avoid starting new production work on it. Qlik retired the open-source edition on January 31, 2024” GPT-6 Luna · negative prompt · hard negative
“has been retired (as of January 2026) and is no longer recommended for new projects” DeepSeek V4 Flash · budget prompt · hard negative
“Choose Talend / Informatica when you need enterprise-grade governance, visual design, 1000+ connectors and hybrid on-prem/cloud support.” Muse Glimmer 30B · comparative prompt · first choice
“Talend Open Studio or Apache NiFi are often recommended as they offer good functionality without licensing costs” Claude Haiku 4.5 · budget prompt · first choice
“If you want zero licensing cost and a visual designer → Talend Open Studio is the most full‑featured free option.” MiniMax M2.5 · budget 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.