Best data engineering & cloud modernization tools, according to AI

Data as of Aug 25, 2026 · Based on 1,691 AI responses · Shares cover the last 30 days · See how Parse measures this

Data Engineering & Cloud Modernization Tools

263 brands

ParseChatGPT + Google AI

Parse

https://parse.gl

Measured across ChatGPT & Google AI

Best Data Engineering & Cloud Modernization Tools, According to ChatGPT & Google AI | Parse

#	Brand	What AI says	Mention rate
1	dbtThe industry standard for building modular, version-controlled SQL data transformations.	The industry standard for building modular, version-controlled SQL data transformations.	84%
2	Alphabet		28%
3	SnowflakeFrequently cited for optimizing dbt performance through warehouse-native features like clustering.	Frequently cited for optimizing dbt performance through warehouse-native features like clustering.	23%
4	AtlanA leading data catalog consistently recommended for its deep dbt integrations.	A leading data catalog consistently recommended for its deep dbt integrations.	16%
5	DatabricksRecommended for lakehouse architectures combining dbt for SQL and Spark for processing.	Recommended for lakehouse architectures combining dbt for SQL and Spark for processing.	12%
6	dbt-unit-testingA popular community package enabling isolated unit tests by mocking dependencies.	A popular community package enabling isolated unit tests by mocking dependencies.	11%
7	Amazon		11%
8	Datafold		11%
9	SecodaA centralized data knowledge hub that catalogs dbt models, lineage, and tests.	A centralized data knowledge hub that catalogs dbt models, lineage, and tests.	9%
10	Medium		9%
11	OpenMetadata		9%
12	Collibra		9%
13	Matillion		8%
14	Alation		8%
15	GitHub		8%
16	SelectStar		8%
17	Dagster		8%
18	dbt_utilsAn essential community package providing reusable macros and generic tests for dbt.	An essential community package providing reusable macros and generic tests for dbt.	8%
19	Git		8%
20	Fivetran		7%
21	Microsoft		7%
22	dbt-expectations		6%
23	DataHub		6%
24	Coalesce		5%
25	SELECT		5%
26	Amundsen		5%
27	DataHub		5%
28	Tobiko Data		5%
29	Hevo Data		5%
30	Apache Software Foundation		5%
31	Datadog		5%
32	SQLMeshAn open-source alternative to dbt noted for its semantic understanding and control.	An open-source alternative to dbt noted for its semantic understanding and control.	4%
33	Great Expectations		4%
34	Stripe		4%
35	Elementary Data		4%
36	Metaplane		4%
37	Salesforce		4%
38	The Data School		3%
39	Stellans		3%
40	pytest		3%
41	Equal Experts		3%
42	Scriptella		3%
43	phData		3%
44	lakeFS		3%
45	Airbyte		3%
46	Informatica		3%
47	Reddit		2%
48	dbt-unit-test		2%
49	GitLab		2%
50	Stack Overflow		2%
51	Integrate.io		2%
52	Dataedo		2%
53	PostgreSQL		2%
54	Tasman.ai		2%
55	PopSQL		2%
56	Paradime		2%
57	Prefect		1%
58	Orchestra		1%
59	sqlfluff		1%
60	Data.world		1%
61	dbt-checkpoint		1%
62	dbt_datamocktool		1%
63	Monte Carlo Data		1%
64	Datacoves		1%
65	Soda		1%
66	OvalEdge		1%
67	dbt-testgen		1%
68	DuckDB		1%
69	Infostrux		1%
70	CircleCI		1%
71	DataCamp		<1%
72	B-eye		<1%
73	Pydata		<1%
74	Superblocks		<1%
75	Palletsprojects		<1%
76	Jenkins		<1%
77	LinkedIn		<1%
78	DataDuel		<1%
79	Unytics		<1%
80	Pentaho		<1%
81	Tableau		<1%
82	Quest Software		<1%
83	Workato		<1%
84	Python		<1%
85	Discourse		<1%
86	QASource		<1%
87	Springer Nature		<1%
88	pytest-dbt		<1%
89	Delta Lake		<1%
90	DevTechie		<1%
91	Community Health Toolkit		<1%
92	Pypi		<1%
93	Cloudera		<1%
94	dbt Core		<1%
95	Rivery		<1%
96	IBM		<1%
97	RedShift		<1%
98	CastorDoc		<1%
99	dbt Power Tools		<1%
100	Towards Data Science		<1%