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ETL and ELT · October 2026 Edition

Stitch vs Meltano

One of fourteen models named Stitch first on the direct prompt; zero named Meltano. Stitch was named by eleven of the fourteen models and Meltano by nine and Stitch carries 30 labels and Meltano 13, so the shares are not directly comparable.

Stitch

accepted challenger

Named in one category 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 rate20%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#7A position in a field of 18; printed, not drawn.
Labels3013A 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 Meltano · 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 modelsMeltano
Direct101 against Stitch
Paraphrase001 against Stitch
Comparative001 against Stitch
Budget-constrained11
Scale-constrained00
Negative003 against Stitch
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 Stitch 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
Stitch Meltano first choice named as an alternative argued againstblank: not namedEach cell is one answer, Stitch on the left and Meltano on the right.

The direct prompt

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

Stitch first, Meltano not the choice

1 of 14 modelsMeltano 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
Meltano0%#– of 11
The full small business standing →
Mid-marketThe figures above
Stitch leads by two points.
Stitch4%#4 of 18
Meltano2%#7 of 18
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Stitch0%#15 of 15
Meltano0%#– 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 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.