Overview Leaderboard Methodology
Industry Report

Data Integration Platforms

Enterprise-grade solutions that connect, orchestrate, and consolidate data across on-premises and cloud systems for unified access.

Brands tracked: 37
Brands analyzed: 37
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 287
Total responses: 1,469
Top Brand Overall?
Informatica
80/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Microsoft
100

Highest score on the LBA metric in this industry.

Authority Leader?
Informatica
63

Highest score on the Authority metric in this industry.

TOM Leader?
Informatica
100

Highest score on the TOM metric in this industry.

Informatica leads the Data Integration Platforms category in AI responses

Informatica is the most consistently-surfaced brand when users ask AI assistants about Data Integration Platforms, but not to the point of monopolising the conversation. Fivetran and a handful of others appear regularly, giving users a reasonable set of alternatives to compare. The top of this leaderboard is where most of the AI-driven traffic will go.

Brand Leaderboard All 37 Data Integration Platforms 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
Informatica
informatica.com
 81
63
100
80
2
Fivetran
fivetran.com
 81
52
75
68
3
Microsoft
microsoft.com
 100
22
84
58
4
Boomi
boomi.com
 77
24
65
50
5
Talend
talend.com
 76
17
77
47
6
MuleSoft
mulesoft.com
 85
21
50
46
7
Amazon
amazon.com
 77
15
43
38
8
IBM
ibm.com
 87
9
58
38
9
Apache
apache.org
 79
31
18
36
10
Airbyte
airbyte.com
 71
31
18
35
11
SnapLogic
snaplogic.com
 77
8
47
33
12
Matillion
matillion.com
 73
10
37
32
13
Google
google.com
 78
19
17
30
14
dbt
dbt.com
 89
9
26
29
15
Workato
workato.com
 79
8
8
19
16
CData
cdata.com
 72
7
7
18
17
Jitterbit
jitterbit.com
 73
7
7
18
18
Pentaho
pentaho.com
 73
7
7
18
19
Precisely
precisely.com
 75
8
8
18
20
Astera
astera.com
 67
7
7
17
21
Denodo
denodo.com
 70
7
7
17
22
StreamSets
streamsets.com
 70
7
7
17
23
Adverity
adverity.com
 65
6
6
16
24
Celigo
celigo.com
 66
7
7
16
25
CloverDX
cloverdx.com
 65
6
6
16
26
Hevo Data
hevodata.com
 64
6
6
16
27
Stitch
stitchdata.com
 65
7
7
16
28
Integrate.io
integrate.io
 59
6
6
15
29
Keboola
keboola.com
 61
6
6
15
30
Meltano
meltano.com
 59
6
6
15
31
Skyvia
skyvia.com
 60
6
6
15
32
Data Virtuality
datavirtuality.com
 55
6
6
14
33
Rivery
rivery.io
 58
6
6
14
34
Adeptia
adeptia.com
 49
5
5
12
35
Etleap
etleap.com
 45
5
5
12
36
Portable
portable.io
 37
4
4
10
37
BryteFlow
bryteflow.com
 36
4
4
9

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 287 shared Data Integration Platforms 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 →