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ETL and ELT · October 2026 Edition

Airbyte vs Talend

Two of fourteen models named Airbyte first on the direct prompt; zero named Talend. Airbyte was named by fourteen of the fourteen models and Talend by thirteen and Airbyte carries 63 labels and Talend 36, so the shares are not directly comparable.

Airbyte

accepted challenger

Named in one category this edition.

Talend

criticized challenger

Named in five categories this edition.

First-choice share28%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.

Negative rate5%25%Negative labels as a share of the product's labels, 0 to 100.

Rank in category#2#5A position in a field of 18; printed, not drawn.

Labels6336A count; the two differ.

The two percentage rows are drawn on one 0 to 100 track, Airbyte 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 Airbyte · Fivetran vs Talend · Airbyte vs Hevo Data

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.

AirbyteFirst choices, of fourteen modelsTalend

Direct20

Paraphrase30

Comparative111 against Talend

Budget-constrained921 against Talend

Scale-constrained101 against Talend

Negative103 against Airbyte · 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, Airbyte and Talend were named in the same answer sixty times, of the 168 answers naming Airbyte and the 139 naming Talend. In those answers Talend took the first choice zero times and Airbyte fourteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Airbyte and Talend stood in it.

Model	Direct	Paraphrase	Comparative	Budget-constrained	Scale-constrained	Negative
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

Airbyte

Talend

first choice

named as an alternative

argued againstblank: not namedEach cell is one answer, Airbyte on the left and Talend on the right.

The direct prompt

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

Airbyte first, Talend not the choice

2 of 14 modelsTalend was named in the answer but not as the choice, or not at all.

GPT-5.4 miniAirbyte, Fivetran alternatives: Matillion

Qwen 3.7 FlashAirbyte alternatives: Fivetran, Hevo Data

Neither was the first choice, one was named

10 of 14 modelsThe answer put something else first and named one of the two as an alternative.

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

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

Neither was named

2 of 14 modelsThe answer made no first choice from these two in this category.

Claude Haiku 4.5no first choice

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

Airbyte leads by thirty-six points.

Airbyte#1 of 11

Talend#11 of 11

The full small business standing →

Mid-marketThe figures above

Airbyte leads by twenty-five points.

Airbyte#2 of 18

Talend#5 of 18

The full mid-market standing →

Enterprise

The order flips: Talend leads at enterprise.

Talend#6 of 15

Airbyte#11 of 15

The full enterprise standing →

What the models said about Airbyte

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven 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

“citing frequent job failures, slow sync times, regular timeouts, missing records” Claude Haiku 4.5 · negative prompt · soft negative

“Unreliable connectors – Community-built connectors are frequently buggy” DeepSeek V4 Flash · negative prompt · soft negative

“Airbyte – Best Overall Value ... For most mid-sized B2B companies, I recommend: Airbyte (or Fivetran if budget allows) + dbt + Snowflake/BigQuery” Kimi K2 · paraphrase prompt · first choice

“Cost/predictability option: Airbyte. ... Choose Airbyte + Snowflake/BigQuery + dbt if you want open-source flexibility” Muse Glimmer 30B · paraphrase prompt · first choice

“If you have a software developer on staff, self-host the open-source version of [Airbyte](https://airbyte.com)” Gemini 3.5 Flash · budget 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

Fivetran vs Airbyte Fivetran vs Talend Airbyte vs Hevo Data Airbyte vs Stitch Airbyte vs dbt Airbyte vs Meltano Airbyte vs Apache NiFi Hevo Data vs Talend Stitch vs Talend Talend vs dbt Talend vs Meltano Talend vs Apache NiFi All twenty-eight head-to-head pages and the full ETL standing

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.