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ETL and ELT · October 2026 Edition

Fivetran vs Talend

Eight of fourteen models named Fivetran first on the direct prompt; zero named Talend. Fivetran was named by fourteen of the fourteen models and Talend by thirteen and Fivetran carries 61 labels and Talend 36, so the shares are not directly comparable.

Fivetran

endorsed leader

Named in four categories this edition.

Talend

criticized challenger

Named in five categories this edition.

First-choice share40%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate8%25%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#5A position in a field of 18; printed, not drawn.
Labels6136A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Fivetran reading right to left. Rank and label count are printed, not drawn.Airbyte was named alongside these two in twelve of the fourteen direct answers. Fivetran vs Airbyte · Fivetran vs Hevo Data · Fivetran 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.
FivetranFirst choices, of fourteen modelsTalend
Direct80
Paraphrase100
Comparative411 against Talend
Budget-constrained021 against Fivetran · 1 against Talend
Scale-constrained301 against Talend
Negative004 against Fivetran · 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, Fivetran and Talend were named in the same answer eighty-two times, of the 205 answers naming Fivetran and the 139 naming Talend. In those answers Talend took the first choice four times and Fivetran nineteen.

Every model, every framing

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

The direct prompt

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

Fivetran first, Talend not the choice

8 of 14 modelsTalend was named in the answer but not as the choice, or not at all.
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
Llama 4 MaverickFivetran alternatives: Airbyte, Databricks Lakeflow, Domo
GPT-6 LunaFivetran alternatives: Airbyte, Matillion
Muse Glimmer 30BFivetran alternatives: Apache Airflow, Estuary Flow, Integrate.io, Matillion, dbt

Neither was the first choice, one was named

4 of 14 modelsThe answer put something else first and named one of the two as an alternative.
DeepSeek V4 FlashHevo Data alternatives: Airbyte, Fivetran
Qwen 3.7 FlashAirbyte alternatives: Fivetran, Hevo Data
GLM 4.7 FlashXHevo Data, Stitch alternatives: Airbyte, Fivetran
MiniMax M2.5Integrate.io alternatives: Airbyte, Fivetran

Neither was named

2 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5no first choice
Kimi K2Hevo Data alternatives: Airbyte, Rivery, Stitch

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
Fivetran leads by seventeen points.
Fivetran17%#3 of 11
Talend0%#11 of 11
The full small business standing →
Mid-marketThe figures above
Fivetran leads by thirty-six points.
Fivetran40%#1 of 18
Talend4%#5 of 18
The full mid-market standing →
Enterprise
Fivetran leads by forty-seven points.
Fivetran49%#1 of 15
Talend2%#6 of 15
The full enterprise standing →

What the models said about Fivetran

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

“"Airbyte & Fivetran are bad products." ... That view is not consensus, but it is representative of complaints about pricing models” Muse Glimmer 30B · negative prompt · soft negative
“Fivetran has high pricing for large row volumes using the MAR pricing model, and limited real-time support” Claude Haiku 4.5 · negative prompt · soft negative
“avoid the "billing roulette" of expensive enterprise tools like Fivetran or Informatica” Gemini 3.5 Flash · budget prompt · soft negative
“Managed, low-maintenance option: Fivetran. ... Choose Fivetran + Snowflake + dbt if you want minimal engineering overhead” Muse Glimmer 30B · paraphrase prompt · first choice
“1. Fivetran: Recommended for B2B SaaS firms heavily invested in Salesforce, HubSpot, NetSuite, and Snowflake.” Llama 4 Maverick · direct prompt · first choice
“The industry standard for zero-maintenance ELT... Choose Fivetran if you have a budget, a small data team” Gemini 3.5 Flash · comparative prompt · first choice

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.