Suggestions appear as you type. Use the up and down arrows to choose one and Enter to open it.

This page's audience our own tag's counts — open to see them
–Visits
–Page views
–Clicks to vendors
–Time on page
–Reading now
Clicks to vendors, by tool
  • –
Top countries
  • –
Devices
  • –

– · visits, page views and clicks counted by our own tag, which counts more than our checked analytics; every figure rounded down · how we count

Alibaba Cloud Data Lake Formation

#9 of 19 in Data Lake Software

Alibaba Cloud Data Lake Formation: A managed Alibaba Cloud data lake service with broad governance and engine integration. Ranked #9 of 19 in Data Lake Software by our editors (8.0/10); pricing: Paid; best for alibaba Cloud data lake workloads.

8.0/10Editor score
Alibaba Cloud Data Lake Formation8.0 Visit Alibaba Cloud

At a glance

  • Editor score
    8.0 / 10
  • Pricing
    Paid
  • Best for
    Alibaba Cloud data lake workloads
  • Free plan
    No
  • Deployment model
    Cloud
  • Facts checked
    22 Sep 2026
Alibaba Cloud Data Lake Formation screenshot
  • Where it wins

    • Catalogs, databases, tables, and metadata are managed centrally.
    • Access controls cover catalog, database, and table levels.
    • Supports batch, streaming, search, and open table workflows.
  • Where it doesn't

    • There is no free plan.
    • Billing varies by region, storage class, redundancy, and usage.
    • It is designed for cloud deployment within the Alibaba Cloud ecosystem.

Our verdict on Alibaba Cloud Data Lake Formation

Alibaba Cloud Data Lake Formation is a managed cloud service for organizing, governing, and optimizing data lakes and lakehouses. It is aimed at teams running analytics, machine learning, log analytics, or multimodal data workloads on Alibaba Cloud. Its scope covers catalogs, databases, tables, metadata, permissions, storage analysis, and automated maintenance rather than serving as only a metadata catalog or query layer. Web, API, and CLI management interfaces give teams several ways to manage the environment.

Governance and maintenance are central strengths. Catalog-, database-, and table-level access controls support structured permission management, while automatic metadata extraction helps organize data-lake files. Storage optimization includes file compaction plus cleanup for snapshots, partitions, and orphan files. Multimodal management adds image search, full-text search, and visual exploration. Open table support and both batch and streaming ingestion fit workloads that need more than scheduled file processing. Teams already using Alibaba Cloud services can connect DLF with EMR, Realtime Compute for Apache Flink, MaxCompute, Hologres, Spark, Hive, Presto, Impala, and DataWorks.

The commercial model uses usage-based billing rather than fixed product tiers. Pay-as-you-go compute provides postpaid billing, while subscription compute deducts usage from an allowance before excess usage is billed pay-as-you-go. Cold Archive storage uses locally redundant storage. Published rates vary by region, storage class, redundancy type, and usage; the lowest listed compute rates are for China (Ulanqab), and the lowest listed storage rate is for US (Virginia). DLF is a strong fit for organizations committed to Alibaba Cloud and needing governance plus automated lake maintenance. Teams seeking a free entry plan, a fixed tier structure, or a platform-neutral deployment model should consider alternatives.

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

Alibaba Cloud Data Lake Formation pricing

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

All 3 Alibaba Cloud Data Lake Formation plans and prices →

Alibaba Cloud Data Lake Formation fact sheet

Free planNo
Paid fromNot verified
Deployment modelCloud
Ingestion modesBoth
Metadata catalogYes
Governance controlsYes
Query interfaceBoth
Open table formatsYes
Data sharingNot verified
DeploymentCloud
PlatformsWeb
SupportDocs
Built forMid-market, Enterprise (editorial estimate)
Integrations9 integrations: Alibaba Cloud EMR, Realtime Compute for Apache Flink, MaxCompute, Hologres, Spark, Hive …
PricingPaid (source)
Websitealibabacloud.com
Facts checked22 Sep 2026

Alibaba Cloud Data Lake Formation integrations

Alibaba Cloud Data Lake Formation lists 9 integrations on its own site.

  • Alibaba Cloud EMR
  • Realtime Compute for Apache Flink
  • MaxCompute
  • Hologres
  • Spark
  • Hive
  • Presto
  • Impala
  • DataWorks

Alternatives to Alibaba Cloud Data Lake Formation

See all Alibaba Cloud Data Lake Formation alternatives →

Used Alibaba Cloud Data Lake Formation? Be the first to review it

The editor score above is our own research. What this page doesn't have yet is a reader's view — what you used Alibaba Cloud Data Lake Formation for, what worked and what didn't. No stars are seeded and no review is paid for; an editor reads every one before it appears.

Write a reviewTwo minutes · verified accounts only · read by an editor before it appears

Reviews come only from verified accounts. Sign in or create an account first — your e-mail is never shown.

Your rating

0 characters · at least 80, up to 3,000

Posted from your verified account. Reviews appear after an editor reads them, usually within two working days.

Featured on iTechGuides

Featured on iTechGuides — Alibaba Cloud Data Lake Formation 8.0/10

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

<a href="https://www.itechguides.com/products/alibaba-cloud-data-lake-formation/"><img src="https://www.itechguides.com/best/badge/alibaba-cloud-data-lake-formation.svg" alt="Featured on iTechGuides" width="230" height="46"></a>

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Last updated · How we research and update