Alibaba Cloud PAI FeatureStore
Alibaba Cloud PAI FeatureStore: A usage-priced feature store for teams building on Alibaba Cloud services. Ranked #10 of 20 in Feature Store Software by our editors (8.2/10); pricing: Paid; best for alibaba Cloud-centric ML teams.
At a glance
- Editor score8.2 / 10
- PricingPaid
- Best forAlibaba Cloud-centric ML teams
- Free planNo
- Paid from$0.00026/GB usage-based
- Deployment modelCloud
- Facts checked21 Sep 2026
Where it wins
- Supports offline storage and online serving across Alibaba Cloud services
- Includes point-in-time joins, synchronization, and training-set export
- Provides Go, Java, and Python SDKs with latency monitoring metrics
Where it doesn't
- No free plan
- Usage costs vary by region and storage type
- Best fit depends on Alibaba Cloud service integrations
Our verdict on Alibaba Cloud PAI FeatureStore
Alibaba Cloud PAI FeatureStore is a managed cloud service for storing, organizing, synchronizing, and serving machine-learning features. It is aimed at teams building recommendation, search-ranking, user-growth, advertising, or risk-control systems on Alibaba Cloud. The service supports offline storage with MaxCompute and online serving through FeatureDB, Hologres, and Tablestore. Teams can define feature entities and feature views, manage label tables, and retrieve real-time or batch-synchronized features through web or API access.
Pricing is usage-based rather than subscription-based. Write fees are $0.02271 per 10,000 requests in Beijing, Shanghai, Hangzhou, and Shenzhen, or $0.03986 in Hong Kong, Singapore, Silicon Valley, and Frankfurt. Read fees are $0.01135 and $0.01994 per 10,000 requests across those same regional groups. Disk storage costs $0.00032 or $0.00026 per GiB per hour, while memory storage costs $0.00931 or $0.01516 per GiB per hour. Each 64 KB of request body data counts as one write request, and each 128 KB of returned data counts as one read request. PAI activation and workspace creation are free, while FeatureStore data sources and related services incur charges.
Its strongest fit is an Alibaba Cloud-centered machine-learning stack. Integrations include DataHub, Flink, MaxCompute, FeatureDB, Hologres, Tablestore, DataWorks, EasyRec, PAI-REC, and EAS. Point-in-time joins support training-set export, while real-time and sequence feature management cover workloads that need more than static batch features. Go, Java, and Python SDKs support application integration, and FeatureDB read/write and latency monitoring metrics add operational visibility. Teams already using these services should find the ecosystem alignment compelling; teams seeking a provider-neutral or free feature-store option should consider alternatives.
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Alibaba Cloud PAI FeatureStore pricing
All 8 Alibaba Cloud PAI FeatureStore plans and prices →
Alibaba Cloud PAI FeatureStore fact sheet
| Free plan | No |
|---|---|
| Paid from | $0.00026/GB usage-based |
| Online store | Yes |
| Offline store | Yes |
| Point-in-time joins | Yes |
| Feature monitoring | Yes |
| Deployment model | Cloud |
| Serving modes | Both |
| Deployment | Cloud |
| Platforms | Web |
| Support | Docs, Community |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 10 integrations: DataHub, Flink, MaxCompute, FeatureDB, Hologres, Tablestore … |
| Pricing | Paid (source) |
| Website | alibabacloud.com |
| Facts checked | 21 Sep 2026 |
Alibaba Cloud PAI FeatureStore integrations
Alibaba Cloud PAI FeatureStore lists 10 integrations on its own site.
- DataHub
- Flink
- MaxCompute
- FeatureDB
- Hologres
- Tablestore
- DataWorks
- EasyRec
- PAI-REC
- EAS
Alternatives to Alibaba Cloud PAI FeatureStore
- Hopsworks Feature StoreA governed feature store spanning training, serving, monitoring, and deployment.9.4
- FeastA broad, flexible feature store for teams managing training data and online inference.9.3
- ChalkAdvanced serving, versioning, and observability for production ML teams.9.0
See all Alibaba Cloud PAI FeatureStore alternatives →
Also Ranked In
Alibaba Cloud PAI FeatureStore is ranked in 3 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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