# Fivetran vs Talend: which do AI models recommend for ETL, October 2026

IT AI Recommendation Index, October 2026 Edition, ETL and ELT. Eight of fourteen models named Fivetran first on the direct prompt; zero named Talend. Page: https://it-ai-index.com/it-data/etl-and-elt/fivetran-vs-talend/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Fivetran | 40% | #1 of 18 | 8% | 61 | 14 of 14 |
| Talend | 4% | #5 of 18 | 25% | 36 | 13 of 14 |

## The direct prompt, model by model

- GPT-5.4 mini: fivetran first (first choices: Airbyte, Fivetran) (alternatives: Matillion)
- Gemini 3.5 Flash: fivetran first (first choices: Fivetran) (alternatives: Airbyte, Hevo Data, Rivery)
- Perplexity Sonar: fivetran first (first choices: Fivetran) (alternatives: Airbyte, Hevo Data)
- Grok 4.1 Fast: fivetran first (first choices: Fivetran) (alternatives: Airbyte, Hevo Data, Integrate.io)
- Mistral Small: fivetran first (first choices: Fivetran) (alternatives: Airbyte, Celigo, Workato)
- Llama 4 Maverick: fivetran first (first choices: Fivetran) (alternatives: Airbyte, Databricks Lakeflow, Domo)
- GPT-6 Luna: fivetran first (first choices: Fivetran) (alternatives: Airbyte, Matillion)
- Muse Glimmer 30B: fivetran first (first choices: Fivetran) (alternatives: Apache Airflow, Estuary Flow, Integrate.io, Matillion, dbt)
- DeepSeek V4 Flash: neither first, one named (first choices: Hevo Data) (alternatives: Airbyte, Fivetran)
- Qwen 3.7 Flash: neither first, one named (first choices: Airbyte) (alternatives: Fivetran, Hevo Data)
- GLM 4.7 FlashX: neither first, one named (first choices: Hevo Data, Stitch) (alternatives: Airbyte, Fivetran)
- MiniMax M2.5: neither first, one named (first choices: Integrate.io) (alternatives: Airbyte, Fivetran)
- Claude Haiku 4.5: neither named
- Kimi K2: neither named (first choices: Hevo Data) (alternatives: Airbyte, Rivery, Stitch)

## What the models said about Fivetran

- ""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

- "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)

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. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.