TrustRadius

Azure Data Lake Analytics vs. Cube Cloud

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Data Lake Analytics
Score 5.7 out of 10
N/A
Microsoft's Azure Data Lake Analytics is a BI service for processing big data jobs without consideration for infrastructure.N/A
Cube Cloud
Score 0.0 out of 10
N/A
Cube is a semantic layer for building data applications powered by consistent, fast, secure, and accessible data. Data engineers and application developers can use Cube to access data from modern data stores, organize it upstream into centralized, consistent definitions, and deliver it to every downstream tool via its APIs.
$0.10
per Cube Compute Unit; Minimum commit of $99 per month
Pricing
Azure Data Lake AnalyticsCube Cloud
Editions & Modules
No answers on this topic
Starter
$0.10
per Cube Compute Unit; Minimum commit of $99 per month
Premium
$0.25
per Cube Compute Unit; Minimum commit of $10K/year
Enterprise
$0.40
per Cube Compute Unit; Minimum commit of $20K/year
Premier Enterprise
Contact Sales
Offerings
Pricing Offerings
Azure Data Lake AnalyticsCube Cloud
Free Trial
NoNo
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional Details——
More Pricing Information
Community Pulse
Azure Data Lake AnalyticsCube Cloud
User Ratings
Azure Data Lake AnalyticsCube Cloud
Likelihood to Recommend
8.7
(6 ratings)
-
(0 ratings)
User Testimonials
Azure Data Lake AnalyticsCube Cloud
Likelihood to Recommend
Microsoft
Azure Data Lake Analytics services are beneficial when working with a lot of data. It can process enormous amounts of data extremely quickly. Service is secure and easy to set up, build, scale, and run on Azure. Regarding big data analytics and reporting, parallel processing has a significant impact. It consolidated our analytics from multiple systems and increased our analysis productivity. This tool has excellent support for reporting tools like Power BI and is very quick when performing analytics.
Sam Joseph Gomez | TrustRadius Reviewer
Sam Joseph Gomez
Sr. Data Analyst
Read full review
Cube Dev
No answers on this topic
Pros
Microsoft
  • Process large data transformation jobs using pretty much any language needed.
  • Native integration with Azure storage.
  • Top notch security that fulfills all audit needs.
  • Easy to consolidate enterprise data under one location - Single source of truth.
Verified User
Anonymous
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Cube Dev
No answers on this topic
Cons
Microsoft
  • There's a bit of bias towards cloud with ADL Analytics. Depending upon a company's infra strategy and investment plans, there are some challenges with migration and integeration.
  • Not worth the time/effort/money if the organization doesn't have "Volume" of data. Cost effective only when daily loads exceed around 1million.
  • While training materials are available online, Adoption rate - Yet to pick up.
Verified User
Anonymous
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Cube Dev
No answers on this topic
Alternatives Considered
Microsoft
We did some research about Alibaba Cloud Data Lake Analytics and even being cheaper than Azure Data Lake Analytics, we decided to go for the second one once we noticed they have more features and better documentation. Another thing we considered during this process was the fact that we have more people that already have Azure Cloud knowledge.
Verified User
Anonymous
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Cube Dev
No answers on this topic
Return on Investment
Microsoft
  • It lets us manage and scan data, making our work easy and efficient.
  • It helped me manage real-time data, process it, and send it to reporting.
  • Data centralization or data warehousing projects are being implemented with its help.
Sam Joseph Gomez | TrustRadius Reviewer
Sam Joseph Gomez
Sr. Data Analyst
Read full review
Cube Dev
No answers on this topic
ScreenShots