MEET CLARA - THE AI BEHIND SMARTER SOFTWARE CHOICES
An on-demand analytics job service to power intelligent action
This product profile is currently unclaimed.
The listing is published on SaaSworthy, but the official vendor does not yet manage it. Are you part of the Azure Data Lake Analytics team? Claim this profile to manage and update your product information.
Azure Data Lake Analytics provides distributed analytics processing built on top of the Azure ecosystem. At SaaSworthy, we observe that pricing flexibility is one of its greatest strengths, allowing companies to run analytics tasks without maintaining dedicated servers. Instead of paying for constant compute capacity, customers only pay for the analytics units required for each job. This makes the platform cost efficient for workloads that vary significantly in frequency or complexity. However, teams unfamiliar with cloud consumption pricing may encounter higher than expected costs if processing jobs are not optimized. Azure’s pricing calculator helps estimate usage, but careful monitoring is essential for long term cost control.
Azure Data Lake Analytics does not offer traditional subscription based pricing. Instead, it uses a pay as you go structure where cost is defined by the number of analytics units (AUs) consumed per query or job. Users can choose to scale compute up or down depending on workload requirements. There are no free plans or fixed tiers, although free credits may be available for new Azure customers. This model allows small teams to run occasional jobs affordably while enabling large enterprises to scale dramatically without infrastructure limitations. Discounts may apply for committed spending through Azure enterprise agreements.
| Plan Name | Monthly Base | Per Employee | Best For | Key Features |
|---|---|---|---|---|
| Analytics Units | Pay as you go | NA | All users | Scalable compute, job level billing |
| Storage | Azure Blob Storage pricing | NA | Data teams | Secure, scalable storage |
| Virtual Networks | Azure VNet pricing | NA | Enterprises | Data security and governance |
Pay as You Go $2.00 $2.00 hour
Analytics Unit: $2/hour
Features
Data Lake Analytics $100.00 $100.00 per month
Savings over pay-as-you-go: 50%
Price per analytic unit: $1
Overage price per analytic unit: $1.50
Features
Pricing varies based on the number of Analytics unit hours
Disclaimer: The pricing details were last updated on 22/02/2021 from the vendor website and may be different from actual. Please confirm with the vendor website before purchasing.
Azure Data Lake Analytics is well suited for organizations that already rely on Microsoft Azure and need a scalable analytics engine without managing infrastructure. It is ideal for teams processing large datasets, running machine learning pipelines, automating ETL workflows, or preparing data for business intelligence tools. Companies with variable workloads benefit the most because they pay only for the compute they use. However, businesses seeking predictable monthly pricing or those inexperienced with cloud cost management may find the consumption model challenging. Organizations requiring real time streaming analytics may prefer Azure Synapse or Azure Stream Analytics for more targeted use cases.
Consumption based pricing makes Azure Data Lake Analytics comparable to Amazon Athena, Google BigQuery, and Databricks. BigQuery charges per query based on processed data volume, while Athena uses a similar pay as you go structure. Databricks is more expensive but offers stronger collaborative capabilities for data engineering and machine learning. Azure Data Lake Analytics differentiates itself through deep integration with Microsoft tools and scalability across U SQL and other frameworks. Teams heavily invested in Azure often find cost savings due to seamless integrations and existing enterprise agreements, while teams on other clouds may prefer their native analytics offerings.
| Product Name | Pricing Insights | Free Trial | Standout Feature | Best for | Learn More |
|---|---|---|---|---|---|
| Starts at $2.0. | All users | Scalable compute, job level billing | Azure Data Lake Analytics Pricing | ||
| Starts at $0.14. Offers Free-forever plan. | Qubole Pricing | ||||
| Starts at $0.07. Offers Custom plan. | Databricks Pricing | ||||
| Offers Free-forever and Custom plan. | Exasol Pricing | ||||
| Starts at $0.11. | Azure Stream Analytics Pricing | ||||
| Azure HDInsight Pricing | |||||
| Offers Custom plan. | Dremio Pricing | ||||
| Offers Custom plan. | AWS Lake Formation Pricing | ||||
| Datos Intelligence Pricing | |||||
| Databricks Runtime Pricing |
User reviews highlight the flexibility and scalability of Azure Data Lake Analytics, especially for teams that prefer serverless architecture. Many customers appreciate its seamless compatibility with Azure storage, strong security framework, and ability to run large scale analytics without managing servers. Users commend the platform for cost efficiency when jobs are optimized properly. Criticisms often focus on the learning curve associated with U SQL and the challenges of managing unpredictable consumption based costs. Some reviewers also mention that debugging job failures can be complex. Overall, the platform is well regarded for enterprises that rely heavily on Azure services and need scalable data processing.
How much does Azure Data Lake Analytics cost?
The pricing for Azure Data Lake Analytics starts at $2.0 per hour. Azure Data Lake Analytics has 2 different plans:
Learn more about Azure Data Lake Analytics pricing.
Does Azure Data Lake Analytics offer a free plan?
No, Azure Data Lake Analytics does not offer a free plan.
Learn more about Azure Data Lake Analytics pricing.
Azure Data Lake Analytics is a powerful serverless analytics engine that fits well within Microsoft’s cloud ecosystem. It excels at handling large scale data processing jobs while giving teams the flexibility to scale compute up or down on demand. For organizations with experience in Azure and an interest in building end to end data pipelines, the platform offers strong value along with enterprise grade security. The main challenge lies in cost predictability, since consumption based pricing requires careful monitoring and efficient job design. For teams that prefer predictable pricing or simpler SQL centric workflows, alternatives like BigQuery or Athena may be more approachable. Azure Data Lake Analytics is best suited for companies that prioritize integration, scalability, and control over compute resources.
This research is curated from diverse authoritative sources; feel free to share your feedback at [email protected]
Looking for the right SaaS
We can help you choose the best SaaS for your specific requirements. Our in-house experts will assist you with their hand-picked recommendations.
Want more customers?
Our experts will research about your product and list it on SaaSworthy for FREE.
