Machine Learning Feature Store Platforms | Parse

Machine Learning Feature Store Platforms in AI answers

Data as of Oct 16, 2026Based on 202 AI responsesReviewed by Dimitry Apollonsky

AI summary

Feast holds a narrow lead for teams wanting open-source flexibility and self-hosted infrastructure, closely trailed by Tecton for managed enterprise workloads. When mid-sized companies ask to build a reusable feature library, Databricks Feature Store shares the spotlight as a frequent answer alongside Feast.

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Rank and Mentioned in · since Jul 6

#	Brand	Recommended for	Mentioned in
1	Feast 98% open-source feature store deployments prioritizing infrastructure control	open-source feature store deployments prioritizing infrastructure control	98%
2	Tecton 89% managed enterprise workloads serving batch and real-time models	managed enterprise workloads serving batch and real-time models	89%
3	Hopsworks 68% feature-first environments requiring governance and streaming updates	feature-first environments requiring governance and streaming updates	68%
4	Databricks Feature StoreDatabricks product line 65% Lakehouse environments using Spark and Delta Lake	Lakehouse environments using Spark and Delta Lake	65%
5	Amazon SageMakerAmazon product line 39% AWS-native feature storage with S3 and ElastiCache	AWS-native feature storage with S3 and ElastiCache	39%
6	Databricks 22% teams running Lakehouse pipelines with Mosaic AI	teams running Lakehouse pipelines with Mosaic AI	22%
7	Google Cloud Gemini Enterprise Agent PlatformAlphabet product line 18%		18%
8	Databricks Data Intelligence PlatformDatabricks product line 15%		15%
9	Snowflake 8%		8%
10	AWSAmazon product line 6% cloud infrastructure hosting integrated SageMaker feature pipelines	cloud infrastructure hosting integrated SageMaker feature pipelines	6%
11	dbt 6%		6%
12	Redis 4%		4%
13	Snowflake AISnowflake product line 3% data teams managing features inside Snowflake environments	data teams managing features inside Snowflake environments	3%
14	Qwak 3%		3%
15	Amazon RedshiftAmazon product line 3%		3%
16	MLflow 3%		3%
17	Apache AirflowApache Software Foundation product line 3%		3%
18	Chalk 3%		3%
19	Dagster 3%		3%
20	Snowflake Feature StoreSnowflake product line 2%		2%
21	Hopsworks Feature StoreHopsworks product line 2%		2%
22	RonDB 2% low-latency online database serving within feature platforms	low-latency online database serving within feature platforms	2%
23	Databricks Unity CatalogDatabricks product line 2%		2%
24	Featureform 2%		2%
25	Azure Machine LearningMicrosoft product line 2%		2%
26	Databricks Feature EngineeringDatabricks product line 1%		1%
27	Google Cloud BigQueryAlphabet product line 1%		1%
28	Google Cloud PlatformAlphabet product line 1%		1%
29	Apache SparkApache Software Foundation product line 1%		1%
30	Chronon 1%		1%
31	Google CloudAlphabet product line 1%		1%
32	Apache KafkaApache Software Foundation product line 1%		1%
33	Microsoft AzureMicrosoft product line 1%		1%
34	Prefect 1%		1%
35	KServe 1%		1%
36	Tecton Feature StoreTecton product line <1%		<1%
37	FeatHub <1%		<1%
38	Amazon DynamoDBAmazon product line <1%		<1%
39	Great Expectations <1%		<1%
40	PostgreSQL <1%		<1%
41	Microsoft LearnMicrosoft product line <1%		<1%
42	Amazon KinesisAmazon product line <1%		<1%
43	Amazon S3Amazon product line <1%		<1%
44	MySQL ClusterMySQL product line <1%		<1%
45	EvidentlyEvidently AI product line <1%		<1%
46	Google Cloud BigtableAlphabet product line <1%		<1%
47	Delta Lake <1%		<1%
48	BentoML <1%		<1%
49	Arize AI <1%		<1%

Recommendations by AI engine

ChatGPT SearchGoogle AI Mode

Widest split: Hopsworks, 45% on ChatGPT Search and 92% on Google AI Mode.

Mentioned in on each AI engine, by brand
Brand	ChatGPT Search	Google AI Mode
Feast	100%	96%
Tecton	81%	96%
Hopsworks	45%	92%
Databricks Feature Store	55%	76%
Amazon SageMaker	30%	48%
Databricks	25%	19%
Google Cloud Gemini Enterprise Agent Platform	12%	25%
Databricks Data Intelligence Platform	16%	14%
Snowflake	9%	7%
AWS	3%	10%

Machine Learning Feature Store Platforms in AI answers

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