Small business=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 36 → 44 of 61
Databricks · 1 category · RankedDatabricks Lakeflow
24Judge labels
0First choices
7Negative labels
10 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Best standing
0% in ETL for mid-market buyers
Rank 57 of 75 in the mid-market standingcriticized challenger
0 of 14 models made it the first choice on the direct prompt; 40% of its 10 labels there were negative.
What the models named instead of Databricks Lakeflow →By buyer segmentRead the same way at every buyer size.
Small business45 of 62
0%1 label
under the label threshold
Mid-market57 of 75
0%10 labels
criticized challenger
Enterprise15 of 72
0%13 labels
accepted challenger
In etl · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading
Standing by category
Every category where a model named Databricks Lakeflow for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| ETL and ELT | Data platform | 0% | 57 of 75 | 40% | 10 | criticized challenger | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, Databricks Lakeflow held within the floor in its one category: no change cleared 11 points.
Best category · ETL · by segment
Mid-market=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 48 → 51 of 69
Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 12 → 14 of 64
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| ETL | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 48 → 57 of 75 |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
By model
How each model treated Databricks Lakeflow across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated Databricks Lakeflow across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 1 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 0 | 1 | 1 |
| Mistral Small | 0 | 0 | 1 | 1 | 2 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 1 | 1 | 0 | 2 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 1 | 1 | 2 |
| GLM 4.7 FlashX | 0 | 0 | 1 | 0 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 1 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |
By framing
Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct4 labelsNone
Paraphrase5 labelsNone
Comparative6 labelsNone
Budget-constrained2 labelsNone
Scale-constrained0 labelsNone
Negative7 labelsNone
First choiceAlternativeMentionNegative24 labels in all, every segment counted; 0 of the 0 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.
What the models said for it
Verbatim evidence the judge attached to positive labels.
“Offers a comprehensive ETL solution with high compatibility and low latency.” Llama 4 Maverick · ETL · direct prompt · alternative
“Databricks if your team is more lakehouse- and engineering-oriented” GPT-5.4 mini · ETL · paraphrase prompt · alternative
And against it
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“Consumption-based pricing (DBUs) can become very expensive as data volumes and syncs scale. Users report unpredictable costs” Mistral Small · ETL · negative prompt · soft negative
“While powerful, users frequently cite extremely high costs, especially for large data projects, plus a steep learning curve” MiniMax M2.5 · ETL · negative prompt · soft negative
“Steep learning curve ... high costs for large-scale use” Grok 4.20 · ETL · negative prompt · soft negative
“Databricks (cost/learning curve)” Kimi K2 · ETL · negative prompt · soft negative
Named alongside
The products named in the same answers as Databricks Lakeflow, over the 24 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Databricks Lakeflow was named but was not.ShowHide
Named alongside
The products named in the same answers as Databricks Lakeflow, over the 24 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Databricks Lakeflow was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.
What carried it into the answer
The sites and pages cited by the answers that named Databricks Lakeflow. A fact about retrieval, not a lever on the model.
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 24 of the 24 answers that named Databricks Lakeflow and are not a share of its labels.
Domains cited
fivetran.com15
g2.com15
integrate.io13
learn.g2.com13
airbyte.com12
estuary.dev12
hevodata.com12
dataquest.io6
funnel.io6
zoho.com6
110 of the 110 domain citations in answers naming Databricks Lakeflow came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
databricks.com ranks 6 on Google for the category's searches. In the answers, Databricks Lakeflow takes 0% of first choices and Fivetran takes 40%.ShowHide
Search and answers
databricks.com ranks 6 on Google for the category's searches. In the answers, Databricks Lakeflow takes 0% of first choices and Fivetran takes 40%.
ShowHideIn search
Google, US estimatesPosition for “etl tool”
6
Position for “etl tools”
–
not in the top ten
- Searches for its name, Google
- 590 a month (“databricks lakeflow”)
- AI search demand for its name, est.
- 43 a month
- Its company's site
- databricks.com shared with Databricks's other products; the figures are the site's
- Organic visits to its site
- about 689,756 a month
- Searches its site ranks for
- 43,327 · 6,682 in the top three
- Sites linking to it
- 33,328
- Paid Google search
- 33 searches its ads show for, about 570 clicks and $34,664 a month (estimate)
In answers
This editionShare of first choices
0%
rank 57 of 75 in ETL
Segment leader
40%
Fivetran
- First choices
- 0 across its categories
- Named in
- 24 answers
- Its own site cited
- in 24 of the answers that named it
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
Names read as Databricks Lakeflow
What the judge wrote, as written, with how often. The vendor table decides that these count as Databricks Lakeflow; a claim can dispute any of them.
Databricks 7Databricks Data Intelligence Platform 1
Follow Databricks Lakeflow
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
The company
Databricks is the company behind Databricks Lakeflow.ShowHide
The company
Databricks is the company behind Databricks Lakeflow.
ShowHideOn record
Company recordsIn its own words
Stated by the vendor, not checked- Positioning
- Apache Spark(TM) Declarative Pipelines running on the Databricks Data + AI Platform
- For
- customers who want additional control and configuration for their workloads; all workloads needing a fully managed platform requiring minimal additional configuration
- Price stated
- Pay as you go with a 14-day free trial or contact us for committed-use discounts or custom requirements. databricks.com/product/pricing/lakeflow-pipelines
- Starting price
- $0.20/DBU databricks.com/product/pricing/lakeflow-pipelines
- Free plan or trial
- 14-day free trial databricks.com/product/pricing/lakeflow-pipelines
- Hosting
- AWSAzureGoogle Cloud
- Not stated on the pages read
- Integrations, certifications, customers
What Databricks Lakeflow's own pages state, read October 5, 2026: databricks.com/product/pricing/lakeflow-pipelines, docs.databricks.com/aws/en/ingestion/lakeflow-connect/aha-pipeline, docs.databricks.com/aws/en/ingestion/lakeflow-connect/d365-pipeline, docs.databricks.com/aws/en/ingestion/lakeflow-connect/jira-pipeline, docs.databricks.com/aws/en/ingestion/lakeflow-connect/pipeline-tags. A claimed page can correct any of them.
Is this your product?
Claim this page
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Databricks Lakeflow's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Databricks Lakeflow, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for Databricks Lakeflow by email, built from the raw record of the edition. It shows:
- where Databricks Lakeflow is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name Databricks Lakeflow, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.