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Alibaba DataWorks

Features
Ease of use
Ease of management
Quality of support
Affordability
Market presence
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Pricing from
$387 per month
Free Trial
Free version
User corporate size
Small
Medium
Large
User industry
  1. Retail and wholesale
  2. Accommodation and food services
  3. Transportation and logistics

What is Alibaba DataWorks

Alibaba Cloud DataWorks is a cloud-based data development and data governance platform used to build, schedule, and operate data pipelines and analytics workflows on Alibaba Cloud. It is commonly used by data engineering and analytics teams to develop SQL and batch/stream processing jobs, manage metadata, and enforce data quality and governance controls. DataWorks integrates tightly with Alibaba Cloud data services such as MaxCompute, EMR, and real-time compute services, and provides a unified console for orchestration, development, and operations.

pros

Integrated orchestration and scheduling

DataWorks provides a centralized environment for authoring, scheduling, and monitoring data workflows, including dependency management and operational alerting. This reduces the need to stitch together separate tools for development and job operations. It is well-suited for teams running large numbers of recurring batch jobs and needing consistent operational controls. The platform’s workflow-centric approach supports standardized production releases and run management.

Strong Alibaba Cloud integration

DataWorks is designed to work natively with Alibaba Cloud data services, including MaxCompute for large-scale warehousing and EMR for Hadoop/Spark-based processing. This tight integration simplifies authentication, resource access, and operational monitoring within the Alibaba Cloud ecosystem. For organizations already standardized on Alibaba Cloud, it can reduce integration effort compared with assembling multiple third-party components. It also supports common cloud data patterns such as lake/warehouse processing across multiple Alibaba services.

Built-in governance and metadata

DataWorks includes capabilities for metadata management, data quality checks, and governance workflows that help teams document and control data assets. These features support operational practices such as lineage tracking, standardized dataset definitions, and quality rule enforcement. Having governance functions in the same environment as development and scheduling can improve consistency across teams. This is particularly useful in regulated or multi-team environments where data stewardship is required.

cons

Ecosystem and portability constraints

DataWorks is most effective when the core data platform runs on Alibaba Cloud services, and some capabilities are optimized for those back-end engines. Organizations pursuing multi-cloud portability may find migration and operational parity challenging compared with more cloud-agnostic approaches. Tooling, job definitions, and operational processes can become coupled to Alibaba Cloud constructs. This can increase switching costs if the organization later changes cloud strategy.

Not a standalone warehouse engine

DataWorks focuses on development, orchestration, and governance rather than acting as the primary storage/compute engine for a data warehouse. Users still need to select and operate underlying engines (for example, MaxCompute or other compute services) for query execution and storage. As a result, performance, scaling, and cost characteristics depend heavily on the chosen back-end services. Teams evaluating it as a “warehouse solution” may need additional components to meet end-to-end requirements.

Learning curve and role complexity

The platform spans multiple functions—development, scheduling, operations, and governance—which can introduce a steep learning curve for new teams. Effective use often requires clear role separation (data engineers, operators, data stewards) and process discipline. Organizations without mature data operations practices may struggle to standardize workflows and permissions. Initial setup and governance configuration can take time before benefits are realized.

Plan & Pricing

Plan Price Key features & notes
Basic Free Basic development, data migration, simple scheduling and lightweight governance (free edition).
Standard USD 387/month Subscription edition for small enterprises and production use; annual discounts available.
Professional USD 774/month Adds enterprise features for SMEs and high-SLA scenarios (security, collaboration, advanced APIs).
Enterprise USD 3,096/month Enterprise-grade edition with full lifecycle governance, CloudSSO support, and advanced customization.

Usage-based / Add-on billable items (official documentation):

Scheduling (task instances) — Tiered, daily billing based on number of successful instances per day; first 1–10 successful instances/day are free; higher tiers billed (examples shown on docs: 11–500: USD 0.15/day, 501–5,000: USD 9.29/day, up to multi-thousand‑USD tiers for very large volumes).

Data Quality checks — Pay-as-you-go with daily billing; free quota: 10 successful instances/day; tiered pricing for additional runs (e.g., 11–200: USD 3.10; 201–1,000: USD 7.74; larger tiers listed in official docs).

Serverless resource groups (Subscription & Pay-as-you-go options) — Subscription model priced per CU (compute unit) per month; example monthly unit prices vary by region (US (Virginia): USD 53.92014 per Month/CU; China regions lower in CNY converted to USD on purchase). A minimum purchase of 2 CUs is required for subscription resource groups. Pay-as-you-go serverless resource groups also support free trial/deduction packages for new users.

API / OpenAPI calls — Each edition has a monthly free API quota (Basic: 3,100 calls/month; Standard: 31,000; Professional: 310,000; Enterprise: 1,000,000). After free quota, Enterprise supports pay-as-you-go (e.g., USD 0.05 per 10,000 calls for most regions).

Notes: Discounts may apply for annual billing and regional price conversions are applied on the international site. Some modules (e.g., Data Modeling) are billed separately. All figures and tier breakpoints are taken from Alibaba Cloud's official DataWorks documentation pages.

Seller details

Alibaba Group Holding Limited
Hangzhou, China
1999
Public
https://www.alibabagroup.com/
https://x.com/AlibabaGroup
https://www.linkedin.com/company/alibaba-group/

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