Overview Leaderboard Methodology
Industry Report

Cloud Data Integration Services

Managed ETL/ELT and data pipeline platforms that extract, transform, and load data between sources and analytical storage systems.

Brands tracked: 37
Brands analyzed: 37
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 287
Total responses: 1,470
Top Brand Overall?
Fivetran
90/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Microsoft
95

Highest score on the LBA metric in this industry.

Authority Leader?
Fivetran
96

Highest score on the Authority metric in this industry.

TOM Leader?
Fivetran
100

Highest score on the TOM metric in this industry.

Fivetran is the default answer in AI responses for Cloud Data Integration Services

When users ask ChatGPT, Claude, or Gemini about Cloud Data Integration Services, Fivetran is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Airbyte is a close second, but the gap between them is meaningful. If you're competing in this space and you're not in the top handful, you're effectively invisible to AI-driven discovery.

Brand Leaderboard All 37 Cloud Data Integration Services brands ranked

Ranked by overall AI Visibility Score (smoothed geometric mean of LBA, Authority, and TOM with an LBA-based floor on Authority and TOM, see methodology). Click any brand for the full report.

# Brand LBA Authority TOM Overall
1
Fivetran
fivetran.com
 77
96
100
90
2
Airbyte
airbyte.com
 72
77
70
73
3
Amazon
amazon.com
 85
41
80
66
4
Matillion
matillion.com
 74
37
75
59
5
Informatica
informatica.com
 79
26
89
58
6
Microsoft
microsoft.com
 95
25
80
58
7
Google
google.com
 91
21
73
53
8
Talend
talend.com
 76
12
55
39
9
dbt Cloud
getdbt.com
 91
9
44
35
10
Boomi
boomi.com
 77
8
47
33
11
Snowflake
snowflake.com
 85
13
25
32
12
MuleSoft
mulesoft.com
 81
9
31
30
13
SnapLogic
snaplogic.com
 73
7
24
26
14
Stitch
stitchdata.com
 66
16
13
25
15
Workato
workato.com
 79
8
9
20
16
CData
cdata.com
 74
7
7
18
17
Funnel
funnel.io
 72
7
7
18
18
Hevo Data
hevodata.com
 68
7
7
17
19
StreamSets
streamsets.com
 69
7
7
17
20
Supermetrics
supermetrics.com
 72
7
7
17
21
Keboola
keboola.com
 64
6
6
16
22
Adverity
adverity.com
 59
6
6
15
23
Meltano
meltano.com
 60
6
6
15
24
Nexla
nexla.com
 60
6
6
15
25
Skyvia
skyvia.com
 59
6
6
15
26
Estuary
estuary.dev
 56
6
6
14
27
Improvado
improvado.io
 55
6
6
14
28
Integrate.io
integrate.io
 55
6
6
14
29
U
Upsolver
upsolver.com
 55
6
6
14
30
Etleap
etleap.com
 46
5
5
12
31
Dataddo
dataddo.com
 42
4
4
11
32
Portable
portable.io
 43
4
4
11
33
Rivery
rivery.io
 40
4
5
11
34
B
Blendo
blendo.co
 33
3
3
9
35
BryteFlow
bryteflow.com
 28
3
3
8
36
Ascend
ascend.io
 13
1
1
4
37
DataChannel
datachannel.co
 2
0
0
1

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 287 shared Cloud Data Integration Services prompts. The same prompts, same model, same iterations. So differences in scores reflect actual differences in AI visibility, not differences in measurement.

Overall AI Visibility Score
Smoothed geometric mean of LBA, Authority and TOM. Authority and TOM are floored at LBA × 0.1 before the geometric mean (the same floor used in the per-metric cards above, so brand cards and the composite tell the same story). Formula: composite = ((LBA + 5)(Authority + 5)(TOM + 5))^(1/3) - 5. The floor keeps brands the model clearly recognises but doesn't yet recommend from collapsing to zero, while a single genuinely weak metric still pulls the composite down. Full methodology.
Shared industry prompts
For Authority and TOM, all brands in the industry are scored against the same 287 category prompts (e.g. "best SEO tools for agencies"). This makes brand-to-brand comparisons valid - everyone faces identical inputs. LBA prompts are per-brand because they ask brand-specific questions.
Latent Brand Association (LBA)
5 brand probes + 1 control prompt, each run 5 times in recall mode (no web search). LBA = quality × meta × stability × share × recognition × 100. Read the full LBA methodology →
LLM Authority
50 organic category prompts (discovery, comparison, problem and transactional intents), each run once in recall mode and once in retrieval mode. Score = frequency × log-decayed prominence × intent weight, then 50/50 averaged across the two modes. Read the full Authority methodology →
Top of Mind (TOM)
15 high-volume discovery prompts (sourced from Keywords Everywhere search-volume data), each run 5 times in pure recall mode (no web). Score = frequency × (0.5 + 0.5 × log-prominence), volume-weighted. Read the full TOM methodology →