What does AI recommend for data observability and quality platforms?

Across 2,468 AI responses, Monte Carlo Data is mentioned most, named in 60% of them, followed by Soda (53%) and Anomalo (52%).

How does Parse rank these brands?

Parse measures each brand's mention rate — the share of answers naming it — across 2,468 AI responses to this market's buyer questions over the last 30 days. Answers are collected daily and the ranking is re-measured on the same 30-day window.

How does a brand enter this ranking?

Brands enter the ranking when AI answers mention them. Parse collects answers daily and publishes the re-measured set weekly, so new brands appear as AI starts recommending them.

Best data observability and quality platforms, according to AI

Data as of Aug 25, 2026 · Based on 2,468 AI responses · Shares cover the last 30 days · See how Parse measures this

Data Observability and Quality Platforms

265 brands

ParseChatGPT + Google AI

Parse

https://parse.gl

Measured across ChatGPT & Google AI

Best Data Observability and Quality Platforms, According to ChatGPT & Google AI | Parse

#	Brand	What AI says	Mention rate
1	Monte Carlo Data		60%
2	SodaA fast-rising competitor recommended for its flexible checks-as-code approach and alerting capabilities.	A fast-rising competitor recommended for its flexible checks-as-code approach and alerting capabilities.	53%
3	AnomaloConsistently praised for its no-code, AI-powered anomaly detection and deep Snowflake integration.	Consistently praised for its no-code, AI-powered anomaly detection and deep Snowflake integration.	52%
4	MetaplaneA lightweight option noted for its rapid deployment and integrations with modern stacks.	A lightweight option noted for its rapid deployment and integrations with modern stacks.	45%
5	BigeyeFrequently suggested for automated, large-scale quality checks with customizable monitoring rules.	Frequently suggested for automated, large-scale quality checks with customizable monitoring rules.	44%
6	Great ExpectationsThe leading open-source choice for embedding rule-based data validation into pipelines.	The leading open-source choice for embedding rule-based data validation into pipelines.	37%
7	DatafoldRecognized for its unique 'data diffing' feature to prevent issues before production.	Recognized for its unique 'data diffing' feature to prevent issues before production.	26%
8	Acceldata		25%
9	DQLabs		17%
10	Evidently AIAn open-source favorite for monitoring data drift and model quality in ML pipelines.	An open-source favorite for monitoring data drift and model quality in ML pipelines.	13%
11	dbt		13%
12	SnowflakeGaining mentions for its native data quality monitoring and anomaly detection features.	Gaining mentions for its native data quality monitoring and anomaly detection features.	13%
13	CleanlabThe top specialized tool for finding label errors and outliers in ML datasets.	The top specialized tool for finding label errors and outliers in ML datasets.	10%
14	DQOps		8%
15	Sifflet Data		8%
16	Ataccama		8%
17	SYNQ		7%
18	WhyLabs		6%
19	Apache Software Foundation		6%
20	IBM		6%
21	Alphabet		6%
22	Elementary Data		6%
23	Salesforce		6%
24	Atlan		6%
25	Arize AI		6%
26	Databricks		5%
27	Collibra		5%
28	Lightup		5%
29	Validio		5%
30	Datadog		5%
31	Amazon		4%
32	Secoda		4%
33	Fiddler AI		3%
34	Deepchecks		3%
35	Monte-Carlo SBM		3%
36	Collate		2%
37	Informatica		2%
38	Deequ		2%
39	DVC		2%
40	OvalEdge		2%
41	Dagster		2%
42	Qualytics		2%
43	Google Gemini API		2%
44	PagerDuty		2%
45	Openlayer		2%
46	Telmai		2%
47	Qualdo		2%
48	Microsoft		2%
49	Scikit-learn		2%
50	whylogs		1%
51	Datagaps		1%
52	MLflow		1%
53	OpenMetadata		<1%
54	Grafana		<1%
55	Prefect		<1%
56	YData		<1%
57	Pantomath		<1%
58	Amundsen		<1%
59	DataGalaxy		<1%
60	Atlassian		<1%
61	Supervisely		<1%
62	PyOD		<1%
63	Alation		<1%
64	lakeFS		<1%
65	Decube		<1%
66	whylogs		<1%
67	DataRobot		<1%
68	NannyML		<1%
69	DvSum		<1%
70	Kubeflow		<1%
71	New Relic		<1%
72	DataLens		<1%
73	Seldon		<1%
74	Prometheus		<1%
75	Cisco		<1%
76	DataRadar		<1%
77	Dynatrace		<1%
78	DataQualityReport		<1%
79	Aporia		<1%
80	Adverity		<1%
81	Integrate.io		<1%
82	iceDQ		<1%
83	Neptune.ai		<1%
84	Elastic		<1%
85	OpenLineage		<1%
86	Qwak		<1%
87	FanRuan		<1%
88	Granica		<1%
89	OpenRefine		<1%
90	Fivetran		<1%
91	Pandera		<1%
92	Zapier		<1%
93	ELKI		<1%
94	arXiv		<1%
95	Tale of Data		<1%
96	DataHub		<1%
97	Striim		<1%
98	DataCamp		<1%
99	PyDeequ		<1%
100	PipeRider		<1%