Best data engineering infrastructure platforms, according to AI

Data as of Aug 25, 2026 · Based on 668 AI responses · Shares cover the last 30 days · See how Parse measures this

Data Engineering Infrastructure Platforms

272 brands

ParseChatGPT + Google AI

Parse

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Measured across ChatGPT & Google AI

Best Data Engineering Infrastructure Platforms, According to ChatGPT & Google AI | Parse

#	Brand	What AI says	Mention rate
1	Amazon		54%
2	Apache Software Foundation		50%
3	TemporalWidely recommended as the gold standard for durable, code-first distributed orchestration.	Widely recommended as the gold standard for durable, code-first distributed orchestration.	45%
4	CamundaPreferred enterprise solution for complex processes requiring visual BPMN process modeling.	Preferred enterprise solution for complex processes requiring visual BPMN process modeling.	43%
5	Microsoft		34%
6	Alphabet		33%
7	Coursera		28%
8	IBMA frequent recommendation for beginners seeking a broad foundation in data engineering.	A frequent recommendation for beginners seeking a broad foundation in data engineering.	24%
9	Udacity		23%
10	Databricks		22%
11	Snowflake		21%
12	Conductor OSS		18%
13	DataCampProvides interactive learning paths covering SQL, Python, and modern data engineering tools.	Provides interactive learning paths covering SQL, Python, and modern data engineering tools.	15%
14	DeepLearning.AI		15%
15	Flowable		15%
16	DataTalks.Club		14%
17	dbt		13%
18	Cadence Workflow		12%
19	Data Engineer Camp		12%
20	WeCloudData		11%
21	Prefect		11%
22	Activiti		10%
23	Argo Workflows		9%
24	Udemy		9%
25	Orkes		8%
26	Dataquest		8%
27	Massachusetts Institute of Technology		7%
28	DataExpert		7%
29	Dagster		7%
30	Edx		6%
31	Fivetran		6%
32	Airbyte		5%
33	InngestPremier choice for developer-friendly, event-driven, and serverless workflow orchestration.	Premier choice for developer-friendly, event-driven, and serverless workflow orchestration.	5%
34	Springboard		5%
35	Zero To Mastery		5%
36	Restate		4%
37	n8n		4%
38	Pluralsight		4%
39	Workflow Engine		3%
40	AgileFever		3%
41	Informatica		3%
42	NextLogic Academy		3%
43	Western Governors University		3%
44	Laravel Workflow		3%
45	Le Wagon		3%
46	Purdue University		3%
47	Docker		3%
48	Delta Lake		3%
49	Spiced Academy		3%
50	Duke University		3%
51	Takeo		2%
52	BigBlue Academy		2%
53	Ironhack		2%
54	Zapier		2%
55	Refonte Learning		2%
56	Educative		2%
57	General Assembly		2%
58	Windmill		2%
59	ProjectPro		2%
60	PostgreSQL		2%
61	HashiCorp		2%
62	Data Engineer Academy		2%
63	UiPath		2%
64	Autokitteh		2%
65	Mongodb		2%
66	Flyte		1%
67	Pega		1%
68	LinkedIn		1%
69	OpenWorkflow		1%
70	BullMQ		1%
71	Mage		1%
72	Metaflow		1%
73	Smart Data Learning		1%
74	GoLogica		1%
75	Course Report		1%
76	Big Data Bootcamp		1%
77	Appian		1%
78	ServiceNow		1%
79	University of San Diego		1%
80	Trigger.dev		1%
81	Tableau		1%
82	Dagger		<1%
83	Kestra		<1%
84	Nextflow		<1%
85	ADaSci		<1%
86	Celery		<1%
87	Sidekiq		<1%
88	University of Washington		<1%
89	Codebasics		<1%
90	Frends		<1%
91	OptimaJet		<1%
92	DBOS		<1%
93	Dapr		<1%
94	Penn State		<1%
95	Learnomate		<1%
96	Matillion		<1%
97	Tudip		<1%
98	Oban		<1%
99	MassTransit		<1%
100	Kubeflow		<1%

and 75 more brands in this ranking

Who wins on each AI

ChatGPT favors developer-centric durably executed engines like cadenceworkflow-io while Google AI Overviews prioritizes enterprise-integrated solutions like laravel-workflow-com and databricks-com-14.

ChatGPT SearchGoogle AI Mode

Mention rate on each AI platform, by brand
Brand	ChatGPT Search	Google AI Mode
Temporal	49%	44%
Camunda	49%	42%
AWS Step Functions	40%	24%
Apache Airflow	44%	11%
DataCamp	22%	22%

The two models disagree most about AWS (ChatGPT #22, Google #9).

Sources AI cited

reddit.com is the page AI reaches for most here, cited in 46% of analyzed answers.

Best data engineering infrastructure platforms, according to AI

Best data engineering infrastructure platforms, according to AI

What shifted

How AI answersHow AI answers questions in Data Engineering Infrastructure Platforms

Frequently asked questions

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