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Tencent Cloud GooseFS

#16 of 19 in Data Lake Software

Tencent Cloud GooseFS: A focused storage acceleration layer for data lakes, not a complete lake management suite. Ranked #16 of 19 in Data Lake Software by our editors (6.8/10); pricing: Paid; best for accelerating lake storage near compute.

6.8/10Editor score
Tencent Cloud GooseFS6.8 Visit Tencent Cloud

At a glance

  • Editor score
    6.8 / 10
  • Pricing
    Paid
  • Best for
    Accelerating lake storage near compute
  • Free plan
    No
  • Paid from
    $0.0002456/GB usage-based
  • Deployment model
    Hybrid
  • Facts checked
    22 Sep 2026
Tencent Cloud GooseFS screenshot
  • Where it wins

    • Distributed caching across memory, SSD, and HDD
    • Unified namespace with HDFS and POSIX access
    • Catalog caching, preheating, and hot-cold data tiering
  • Where it doesn't

    • No free plan is listed
    • Pricing varies by region and deployment mode
    • Focused on storage acceleration rather than full lake management

Our verdict on Tencent Cloud GooseFS

Tencent Cloud GooseFS is a distributed data acceleration service for data lake workloads. It is designed for analytics, big data processing, machine learning, and AI applications that need faster access to data across multiple storage systems. GooseFS places cache near compute nodes, provides a unified namespace, supports HDFS and POSIX protocols, and connects with Tencent Cloud COS and Cloud HDFS. Its fit is strongest for teams seeking a storage acceleration layer alongside existing lake and compute infrastructure.

The published plans use pay-as-you-go billing. Management capacity is billed according to usage, while managed Master instances are offered in MEDIUM at $3.38 per instance per hour, LARGE at $6.62 per hour, and XLARGE at $13.24 per hour. Storage capacity is billed at $0.0002456 per GB per hour. The service has no free plan listed, and pricing varies by region and deployment mode. This structure gives buyers separate capacity and managed-instance choices, but estimating spend requires accounting for hourly usage across the selected components.

GooseFS has a broad integration surface for a storage-focused product, including Elastic MapReduce, Spark, Flink, TensorFlow, Hive Metastore, and Presto. Its feature depth centers on caching: namespace read/write policies, lifecycle management, metadata caching, table- and partition-level preheating, and tiering between hot and cold data. GooseFS Catalog adds table metadata caching, while FUSE provides client access. Choose it when faster lake storage access near compute is the priority; choose a broader lake management product when catalog, governance, and end-to-end management need to be the central focus.

Your product? Our editors can test Tencent Cloud GooseFS in depth and publish a review, labelled as paid · from $149/mo →

Tencent Cloud GooseFS pricing

Plans Paid No free plan — trial or paid only. Prices checked 22 Sep 2026.
See plans on intl.cloud.tencent.com

All 5 Tencent Cloud GooseFS plans and prices →

Tencent Cloud GooseFS fact sheet

Free planNo
Paid from$0.0002456/GB usage-based
Deployment modelHybrid
Ingestion modesNot verified
Metadata catalogYes
Governance controlsYes
Query interfaceSql
Open table formatsNot verified
Data sharingYes
DeploymentCloud, Self-hosted
PlatformsWeb, Linux
SupportTickets, Docs
Built forMid-market, Enterprise (editorial estimate)
Integrations8 integrations: Tencent Cloud COS, Cloud HDFS (CHDFS), Elastic MapReduce, Spark, Flink, TensorFlow …
PricingPaid (source)
Websiteintl.cloud.tencent.com
Facts checked22 Sep 2026

Tencent Cloud GooseFS integrations

Tencent Cloud GooseFS lists 8 integrations on its own site.

  • Tencent Cloud COS
  • Cloud HDFS (CHDFS)
  • Elastic MapReduce
  • Spark
  • Flink
  • TensorFlow
  • Hive Metastore
  • Presto

Alternatives to Tencent Cloud GooseFS

See all Tencent Cloud GooseFS alternatives →

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Featured on iTechGuides

Featured on iTechGuides — Tencent Cloud GooseFS 6.8/10

Tencent Cloud GooseFS is listed in our Data Lake Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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