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ETL and ELT · October 2026 Edition

Talend vs Meltano

Zero of fourteen models named Talend first on the direct prompt; zero named Meltano. Talend was named by thirteen of the fourteen models and Meltano by nine and Talend carries 36 labels and Meltano 13, so the shares are not directly comparable.

Talend

criticized challenger

Named in five categories this edition.

Meltano

accepted challenger

Named in one category this edition.

First-choice share4%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate25%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#7A position in a field of 18; printed, not drawn.
Labels3613A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Talend 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 Talend · Fivetran vs Meltano · Airbyte vs Talend

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.
TalendFirst choices, of fourteen modelsMeltano
Direct00
Paraphrase00
Comparative101 against Talend
Budget-constrained211 against Talend
Scale-constrained001 against Talend
Negative006 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.

Every model, every framing

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

The direct prompt

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

Neither was named

14 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
Kimi K2Hevo Data alternatives: Airbyte, Rivery, Stitch
GLM 4.7 FlashXHevo Data, Stitch alternatives: Airbyte, Fivetran
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
Level: the same share of first choices.
Talend0%#11 of 11
Meltano0%#– of 11
The full small business standing →
Mid-marketThe figures above
Talend leads by two points.
Talend4%#5 of 18
Meltano2%#7 of 18
The full mid-market standing →
Enterprise
Talend leads by two points.
Talend2%#6 of 15
Meltano0%#– of 15
The full enterprise standing →

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

What the models said about Meltano

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

“Airbyte and Meltano are excellent choices for small businesses with some technical ability” Mistral Small · budget prompt · first choice
“Meltano or Airbyte's developer-centric SDKs allow your engineers to treat data pipelines like standard software code” Gemini 3.5 Flash · paraphrase prompt · alternative
“opt for open-source self-hosted alternatives like Airbyte or Meltano” Gemini 3.5 Flash · negative prompt · alternative
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.