12 companieschecked Aug 14, 2026, 12:00 AM UTCdailyhow we measure this →CSV / JSON

As of

In front today

Fivetran

75.0%gemini recommendation prompt presence

Ahead of second place: 37.5%
Held by the top three: 73%
Middle of the board: 6.3%
Below half the leader: 10 of 12

Highest 75.0%Middle 6.3%

Rank 1one bar per published rowRank 12

engines: 2 on 7 of 12 rows · 8 checks behind each row · 100% confidence across rows.

Data integration brands in Gemini model API answers current rankings
Rank	Name	Gemini recommendation prompt presence	Mention coverage	Share of names	Cited as source	Change	Why
01	Fivetran	75.0%	43.75% · 21 / 48	36.21% · 21 / 58	48% · 12 / 25		This rank My rank
02	Airbyte	37.5%	10.42% · 5 / 48	8.62% · 5 / 58	12% · 3 / 25	4	This rank My rank
03	Matillion	25.0%	8.33% · 4 / 48	6.9% · 4 / 58	4% · 1 / 25		This rank My rank
04	Hevo Data	25.0%	4.17% · 2 / 48	3.45% · 2 / 58	0% · 0 / 25	3	This rank My rank
05	Census	12.5%	2.08% · 1 / 48	1.72% · 1 / 58	0% · 0 / 25	5	This rank My rank
06	Hightouch	12.5%	2.08% · 1 / 48	1.72% · 1 / 58	0% · 0 / 25	5	This rank My rank
07	Qlik Talend	0.0%	16.67% · 8 / 48	13.79% · 8 / 58	8% · 2 / 25	5	This rank My rank
08	Informatica	0.0%	12.5% · 6 / 48	10.34% · 6 / 58	0% · 0 / 25	4	This rank My rank
09	Boomi	0.0%	8.33% · 4 / 48	6.9% · 4 / 58	16% · 4 / 25	4	This rank My rank
10	Estuary Flow	0.0%	8.33% · 4 / 48	6.9% · 4 / 58	4% · 1 / 25	1	This rank My rank
11	SnapLogic	0.0%	4.17% · 2 / 48	3.45% · 2 / 58	8% · 2 / 25	1	Showing My rank
12	MuleSoft	0.0%	0% · 0 / 48	0% · 0 / 58	0% · 0 / 25	4	This rank My rank

Primary brandPrompt intentAnswer enginePrompt contains

Run live test

Answer presence43.8%21/48 filtered answers mention or cite Fivetran

Selected-set share58.3%Share of answer-presences among the compared brands, not market share

Owned citation answers1112 answer-level URL signals on reviewed owned domains

Engine breadth3/3Engines with at least one observed presence

Filtered competitive answer-presence comparison
Brand	Presence	Vs. primary	Selected share	Mentions	Cited answers	Owned URL signals	Engine breadth
Fivetranfivetran.com	43.8%21/48	BASE	58.3%	36	11	12	3/3
Informaticainformatica.com	12.5%6/48	-31.3 pp	16.7%	8	0	0	2/3
Airbyteairbyte.com	10.4%5/48	-33.3 pp	13.9%	15	3	3	2/3
Matillionmatillion.com	8.3%4/48	-35.4 pp	11.1%	4	1	1	2/3

ANSWER-LEVEL OBSERVATIONS

Prompt × engine matrix

16 prompts · 48 immutable answer hashes · empty cells mean no compared brand was detected.

Brand presence by public prompt and answer engine
Public prompt	OpenAIopenai/gpt-4o-mini	Anthropicanthropic/claude-haiku-4-5	Geminigoogle/gemini-2.5-flash
01 Which managed data integration platforms are best for loading many SaaS and database sources into a cloud warehouse?recommendation	FivetranInformaticaMatillion 5 source URLs`61da9892`	No selected brand 0 source URLs`814a6fd6`	Fivetran · C1Matillion 6 source URLs`70bc9790`
02 Recommend a self-hostable data integration platform with broad connectors, orchestration, observability, and extensibility.recommendation	Airbyte · C1 7 source URLs`3e2fd749`	No selected brand 0 source URLs`f11c053c`	Fivetran · C1Airbyte 7 source URLs`8e114dd9`
03 Which data integration tools are strongest for reliable low-latency change data capture from operational databases?recommendation	Fivetran 5 source URLs`2e6e9e12`	No selected brand 0 source URLs`b82c7a65`	Fivetran · C1AirbyteMatillion · C1 8 source URLs`28786a8e`
04 Recommend a platform for syncing governed warehouse data into sales, marketing, support, and advertising applications.recommendation	No selected brand 5 source URLs`8477641d`	No selected brand 0 source URLs`70e76c96`	Fivetran · C1 7 source URLs`5e3075ee`
05 Which data integration platforms best support enterprise governance, lineage, private networking, auditability, and role control?recommendation	FivetranInformatica 5 source URLs`f9e218a6`	No selected brand 0 source URLs`866fa244`	No selected brand 7 source URLs`db54c03a`
06 Recommend a data pipeline service with dependable managed connectors for finance, CRM, advertising, support, and product analytics.recommendation	Fivetran · C2 6 source URLs`4ba169be`	Fivetran 0 source URLs`298d7a01`	Fivetran · C1 5 source URLs`03c0afe8`
07 Which data integration platform works best with modular SQL transformation, workflow orchestration, testing, and warehouse-native execution?recommendation	Fivetran 6 source URLs`a52e2670`	No selected brand 0 source URLs`0f110576`	No selected brand 7 source URLs`396a1dc9`
08 What data integration tool should a startup evaluate for fast setup, predictable cost, common connectors, and low maintenance?recommendation	FivetranAirbyte · C1 8 source URLs`76c7d2ce`	No selected brand 0 source URLs`5303ceaf`	FivetranAirbyte · C1 7 source URLs`79bc3440`
09 Compare data integration platforms on connector coverage, freshness, reliability, observability, governance, deployment, and support.commercial	FivetranInformaticaMatillion 8 source URLs`0d27876d`	No selected brand 0 source URLs`b6743bcb`	Fivetran · C1 5 source URLs`a03a8aee`
10 How should a buyer compare data integration pricing across rows, active records, compute, connectors, and platform fees?commercial	Fivetran 7 source URLs`90d400b3`	No selected brand 0 source URLs`17d12704`	Fivetran · C1 8 source URLs`b28126d5`
11 Create a proof-of-concept scorecard for measuring pipeline freshness, recovery, data loss, duplicate handling, and support quality.commercial	No selected brand 0 source URLs`be0bdbcb`	No selected brand 0 source URLs`a60be8d5`	No selected brand 3 source URLs`58fa8810`
12 Compare how data integration tools handle schema drift, connector changes, backfills, replay, and destination compatibility.commercial	Fivetran · C1Informatica 5 source URLs`af2cc9c7`	No selected brand 0 source URLs`407eae09`	Fivetran · C1 7 source URLs`8e32cd43`
13 Which criteria expose lock-in and migration risk when choosing a managed data integration platform?commercial	No selected brand 8 source URLs`7bc02e34`	No selected brand 0 source URLs`11fcf425`	No selected brand 9 source URLs`56f61afb`
14 Compare data pipeline vendors on encryption, secrets, private connectivity, data residency, compliance, and customer-managed deployment.commercial	No selected brand 5 source URLs`611d0cbb`	No selected brand 0 source URLs`b0c86ae9`	No selected brand 7 source URLs`ef4f28e3`
15 Create a shortlist of data integration vendors for a global enterprise modernizing batch, streaming, and activation pipelines.commercial	FivetranInformatica 8 source URLs`db534eec`	No selected brand 0 source URLs`20f60d80`	Informatica 7 source URLs`d7b7425f`
16 When should a company consolidate ingestion, transformation, quality, observability, and activation on one data integration platform?commercial	Fivetran · C1 7 source URLs`b1fef702`	No selected brand 0 source URLs`9bf1ba28`	No selected brand 0 source URLs`493c80c5`

STRUCTURED CITATION LEDGER

Sources shaping this filtered view

Hostnames are derived from validated public HTTP(S) URLs, not provider-supplied domain labels.

Validated citation sources in filtered answers
Source hostname	Cited answers	Distinct URLs	Engine breadth	Best position
domo.com ↗	16	6	2	#1
skyvia.com ↗	16	5	2	#1
fivetran.com ↗	11	10	2	#1
integrate.io ↗	8	8	2	#2
striim.com ↗	6	3	2	#1
reddit.com ↗	5	4	2	#1
stacksync.com ↗	5	3	2	#2
boomi.com ↗	4	3	2	#1
linkedin.com ↗	4	3	2	#1
nexla.com ↗	3	2	2	#3
peliqan.io ↗	3	2	1	#3
scoopanalytics.com ↗	3	1	2	#5
datagalaxy.com ↗	2	2	2	#1
improvado.io ↗	2	2	1	#1
teradata.com ↗	2	2	1	#1
qlik.com ↗	2	2	1	#2
xenoss.io ↗	2	2	1	#2
snaplogic.com ↗	2	2	2	#3
weld.app ↗	2	2	2	#3
streamkap.com ↗	2	2	1	#4

PUBLIC-BENCHMARK PRIVACY BOUNDARY

This report contains only code-reviewed public prompts, deterministic brand counts, answer hashes, and validated structured citation URLs. Full model answers are neither stored nor published here. No customer, organization, or private tracked-prompt data is included.

data-integration-platforms-2026-07-27 / 4-data-integration-platforms-2026-07-27-models-64232fd32583

Published rank: #11
Score: 0 percent
Sample size: 8

100% confidence · 100% component coverage · as of Aug 14, 2026, 12:00 AM UTC

SCORE CONSTRUCTION

Component ledger

13/13 evidenced

All components available · 1 evidence record each

Components contributing to SnapLogic's rank
Component	Value	Weight	Contribution
public prompt anthropic brand mention coverage	0	0%	—
public prompt anthropic brand recommendation presence	0	0%	—
public prompt brand citation share	8	0%	—
public prompt brand engine breadth	2	0%	—
public prompt brand mention coverage	4.166667	0%	—
public prompt brand mention share	3.448276	0%	—
public prompt brand recommendation presence	4.166667	0%	—
public prompt gemini brand citation share	8.333333	0%	—
public prompt gemini brand mention coverage	6.25	0%	—
public prompt gemini brand recommendation presence	0	100%	0
public prompt openai brand citation share	7.692308	0%	—
public prompt openai brand mention coverage	6.25	0%	—
public prompt openai brand recommendation presence	12.5	0%	—

WHY IT MOVED

up since prior snapshot

+1 ranks

public prompt openai brand recommendation presence0 → 12.5
+12.5
public prompt gemini brand citation share0 → 8.333
+8.333
public prompt brand citation share0 → 8
+8
public prompt openai brand citation share0 → 7.692
+7.692
public prompt anthropic brand mention coverage6.25 → 0
-6.25
public prompt gemini brand mention coverage0 → 6.25
+6.25
public prompt brand recommendation presence0 → 4.167
+4.167
public prompt brand mention share2.128 → 3.448
+1.321
public prompt anthropic brand recommendation presence0 → 0
0
public prompt brand engine breadth2 → 2
0
public prompt brand mention coverage4.167 → 4.167
0
public prompt gemini brand recommendation presence0 → 0
0
public prompt openai brand mention coverage6.25 → 6.25
0

PRIMARY EVIDENCE

Source trail

13 public records

Anthropic mention coveragepublic prompt anthropic brand mention coverage · observed Aug 14, 2026, 12:00 AM UTC0 percent100% confidence
Source
Rank.ai Data Integration Prompt Benchmark
Grade
A
Freshness
fresh
Locator
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Open primary evidence ↗
Anthropic recommendation-prompt presencepublic prompt anthropic brand recommendation presence · observed Aug 14, 2026, 12:00 AM UTC0 percent100% confidence
Source
Rank.ai Data Integration Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"data-integration-platforms-2026-07-27","runArtifactIds":["0096d5e1-a333-44ba-8c03-8572afe5793f","5650e428-f7a4-4a4b-91ba-102c027401f5","60884476-b2fd-4007-9a6d-ed31cb0db79e","c5df3f24-b98a-4e95-b6bc-b974cec5374e","5674fbe9-c92e-434d-acbd-a96e80ee7fa8","8a37ca94-ccb4-4e44-b849-7d7c1a4557d2","695bb238-1085-4fd4-86f6-ca70957a504b","1466f947-a3a3-4da7-91ca-48de3d64266e","f0e3d2ab-3388-4592-a623-241150ab3b80","87377cbf-c82f-48d4-817c-e2f35165446f","5903b07b-4d59-4f50-a38d-0a4f14cf7899","0a59e252-ee27-4336-bcc1-65b12758d1e5","dbc0941b-31f9-40f4-8bfe-cb845aebbc65","37f37132-53c1-4902-842a-f95ac8d9067c","4b237dc4-417b-4253-89c0-4deaf5471a79","c1f86723-972f-4d95-b1bb-e6fb1a98819d","1584b30e-85f3-4a7c-9ada-7007eec57598","29d6d381-4800-4ef8-b73f-9ee8c2ee3cac","2e873a8f-f61b-45f4-931e-3cda4723dfc2","666950cc-02a8-4b25-bd70-7dd37aea6d94","230ce63e-52a9-485d-8e80-0c06c4ee9e33","1bc89471-aa53-4437-a77e-cd3bc5404463","7d332188-bb1e-4e9a-ae52-88a709f04850","b76a78a6-ca2c-42f9-b628-4bb5319edd41","6766d9ab-bcf4-417d-86da-e968af2866e8","1a7d63b8-5c50-4f00-ab62-8c168dc12107","2090de6f-227e-4c4b-9521-7f78d5241675","54ff820a-5c3c-499c-983d-8ba646d8ac34","895d995d-6133-47de-9c24-a85a47abfdd5","a5edb575-50fd-4274-9819-bd56cd7e2113","b8b2a70c-552b-4f5e-8aa7-692df0959f82","51698378-e138-460d-969a-3d09baaa3bf9","06a63cf5-1b65-4e6c-adcb-45db5a50512d","9cda8adb-d040-4511-9941-2cc043981ee4","251a13ae-89b3-40dd-a844-8fb1c4862bcd","4e097b5f-e850-47f4-9d81-35d4b873e918","96dc040a-44ca-4ec7-9978-f36d6368977e","a9cd8a6d-ba81-4f42-a7eb-7bef8fa700d7","58a073e1-8ea1-4969-b4a5-35373151107b","6403e583-ad04-4f13-ad8a-2af304fb3d11","2e529c69-4fd0-48fa-9251-1039d869fbe1","56b2a5b0-8d67-45e5-a1bc-f2d7c4623905","909efefc-8c5d-4a65-991c-6290db232c41","aad1bef1-5565-4a64-9e73-5ca817a2ec1e","ff4505b5-cc3d-4952-9c75-a814fc3abbfc","64fd8727-a2cb-459f-a129-d6b2fc4fc2eb","9e1bacd9-ae2e-4422-8bc8-02b6a6342630","3e4cd462-d680-484f-a2bb-a58ede9059c5"],"benchmarkVersion":"4-data-integration-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Open primary evidence ↗
Citation sharepublic prompt brand citation share · observed Aug 14, 2026, 12:00 AM UTC8 percent100% confidence
Source
Rank.ai Data Integration Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"data-integration-platforms-2026-07-27","runArtifactIds":["0096d5e1-a333-44ba-8c03-8572afe5793f","5650e428-f7a4-4a4b-91ba-102c027401f5","60884476-b2fd-4007-9a6d-ed31cb0db79e","c5df3f24-b98a-4e95-b6bc-b974cec5374e","5674fbe9-c92e-434d-acbd-a96e80ee7fa8","8a37ca94-ccb4-4e44-b849-7d7c1a4557d2","695bb238-1085-4fd4-86f6-ca70957a504b","1466f947-a3a3-4da7-91ca-48de3d64266e","f0e3d2ab-3388-4592-a623-241150ab3b80","87377cbf-c82f-48d4-817c-e2f35165446f","5903b07b-4d59-4f50-a38d-0a4f14cf7899","0a59e252-ee27-4336-bcc1-65b12758d1e5","dbc0941b-31f9-40f4-8bfe-cb845aebbc65","37f37132-53c1-4902-842a-f95ac8d9067c","4b237dc4-417b-4253-89c0-4deaf5471a79","c1f86723-972f-4d95-b1bb-e6fb1a98819d","1584b30e-85f3-4a7c-9ada-7007eec57598","29d6d381-4800-4ef8-b73f-9ee8c2ee3cac","2e873a8f-f61b-45f4-931e-3cda4723dfc2","666950cc-02a8-4b25-bd70-7dd37aea6d94","230ce63e-52a9-485d-8e80-0c06c4ee9e33","1bc89471-aa53-4437-a77e-cd3bc5404463","7d332188-bb1e-4e9a-ae52-88a709f04850","b76a78a6-ca2c-42f9-b628-4bb5319edd41","6766d9ab-bcf4-417d-86da-e968af2866e8","1a7d63b8-5c50-4f00-ab62-8c168dc12107","2090de6f-227e-4c4b-9521-7f78d5241675","54ff820a-5c3c-499c-983d-8ba646d8ac34","895d995d-6133-47de-9c24-a85a47abfdd5","a5edb575-50fd-4274-9819-bd56cd7e2113","b8b2a70c-552b-4f5e-8aa7-692df0959f82","51698378-e138-460d-969a-3d09baaa3bf9","06a63cf5-1b65-4e6c-adcb-45db5a50512d","9cda8adb-d040-4511-9941-2cc043981ee4","251a13ae-89b3-40dd-a844-8fb1c4862bcd","4e097b5f-e850-47f4-9d81-35d4b873e918","96dc040a-44ca-4ec7-9978-f36d6368977e","a9cd8a6d-ba81-4f42-a7eb-7bef8fa700d7","58a073e1-8ea1-4969-b4a5-35373151107b","6403e583-ad04-4f13-ad8a-2af304fb3d11","2e529c69-4fd0-48fa-9251-1039d869fbe1","56b2a5b0-8d67-45e5-a1bc-f2d7c4623905","909efefc-8c5d-4a65-991c-6290db232c41","aad1bef1-5565-4a64-9e73-5ca817a2ec1e","ff4505b5-cc3d-4952-9c75-a814fc3abbfc","64fd8727-a2cb-459f-a129-d6b2fc4fc2eb","9e1bacd9-ae2e-4422-8bc8-02b6a6342630","3e4cd462-d680-484f-a2bb-a58ede9059c5"],"benchmarkVersion":"4-data-integration-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Open primary evidence ↗
Engine breadthpublic prompt brand engine breadth · observed Aug 14, 2026, 12:00 AM UTC2 engines100% confidence
Source
Rank.ai Data Integration Prompt Benchmark
Grade
A
Freshness
fresh
Locator
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Open primary evidence ↗
Mention coveragepublic prompt brand mention coverage · observed Aug 14, 2026, 12:00 AM UTC4.167 percent100% confidence
Source
Rank.ai Data Integration Prompt Benchmark
Grade
A
Freshness
fresh
Locator
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Open primary evidence ↗
Reviewed-brand presence sharepublic prompt brand mention share · observed Aug 14, 2026, 12:00 AM UTC3.448 percent100% confidence
Source
Rank.ai Data Integration Prompt Benchmark
Grade
A
Freshness
fresh
Locator
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Open primary evidence ↗
Recommendation-prompt presencepublic prompt brand recommendation presence · observed Aug 14, 2026, 12:00 AM UTC4.167 percent100% confidence
Source
Rank.ai Data Integration Prompt Benchmark
Grade
A
Freshness
fresh
Locator
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Open primary evidence ↗
Gemini citation sharepublic prompt gemini brand citation share · observed Aug 14, 2026, 12:00 AM UTC8.333 percent100% confidence
Source
Rank.ai Data Integration Prompt Benchmark
Grade
A
Freshness
fresh
Locator
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Open primary evidence ↗
Gemini mention coveragepublic prompt gemini brand mention coverage · observed Aug 14, 2026, 12:00 AM UTC6.25 percent100% confidence
Source
Rank.ai Data Integration Prompt Benchmark
Grade
A
Freshness
fresh
Locator
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Open primary evidence ↗
Gemini recommendation-prompt presencepublic prompt gemini brand recommendation presence · observed Aug 14, 2026, 12:00 AM UTC0 percent100% confidence
Source
Rank.ai Data Integration Prompt Benchmark
Grade
A
Freshness
fresh
Locator
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OpenAI citation sharepublic prompt openai brand citation share · observed Aug 14, 2026, 12:00 AM UTC7.692 percent100% confidence
Source
Rank.ai Data Integration Prompt Benchmark
Grade
A
Freshness
fresh
Locator
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Open primary evidence ↗
OpenAI mention coveragepublic prompt openai brand mention coverage · observed Aug 14, 2026, 12:00 AM UTC6.25 percent100% confidence
Source
Rank.ai Data Integration Prompt Benchmark
Grade
A
Freshness
fresh
Locator
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Open primary evidence ↗
OpenAI recommendation-prompt presencepublic prompt openai brand recommendation presence · observed Aug 14, 2026, 12:00 AM UTC12.5 percent100% confidence
Source
Rank.ai Data Integration Prompt Benchmark
Grade
A
Freshness
fresh
Locator
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Plain textData Integration Brands in Gemini Model API Answers. Rank.ai, data as of August 14, 2026. https://www.rank.ai/rankings/data-integration/data-integration-platforms-brand-gemini-visibility
HTML<a href="https://www.rank.ai/rankings/data-integration/data-integration-platforms-brand-gemini-visibility">Data Integration Brands in Gemini Model API Answers</a> — Rank.ai, data as of August 14, 2026
Markdown[Data Integration Brands in Gemini Model API Answers](https://www.rank.ai/rankings/data-integration/data-integration-platforms-brand-gemini-visibility) — Rank.ai, data as of August 14, 2026
APARank.ai. (2026). Data Integration Brands in Gemini Model API Answers. Retrieved September 10, 2026, from https://www.rank.ai/rankings/data-integration/data-integration-platforms-brand-gemini-visibility

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<p style="font-size:12px">Source: <a href="https://www.rank.ai/rankings/data-integration/data-integration-platforms-brand-gemini-visibility">Data Integration Brands in Gemini Model API Answers</a> by Rank.ai</p>

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