TrustRadius

Azure Data Lake Analytics vs. Cube Cloud

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Data Lake Analytics
Score 8.3 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
Considered Both Products
Azure Data Lake Analytics
Sam Joseph Gomez | TrustRadius Reviewer
Sam Joseph Gomez
Sr. Data Analyst
Chose Azure Data Lake Analytics
Azure Data Lake simplifies extensive data analysis. It runs Hadoop, HDInsight, and Data Lakes, and even complex queries run smoothly and quickly. We write queries to transform data and extract insights instead of configuring hardware. It can handle any size job by adjusting the …
Verified User
Anonymous
Chose Azure Data Lake Analytics
Compared to Databricks which we have fully implemented and all teams use, Azure Data Lake Analytics was first pushed on our engineering team from the Data Science group pretty much from familiarity. Once we did a proof of technology, we found it to natively have the better …
Verified User
Anonymous
Chose Azure Data Lake Analytics
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 …
Verified User
Anonymous
Chose Azure Data Lake Analytics
ADL Analytics supports big data such as Hadoop, HDInsight, Data lakes. Usually, a traditional data warehouse stores data from various data sources, transform data into a single format and analyze for decision making. Developers use complex queries that might take longer hours …
Verified User
Anonymous
Chose Azure Data Lake Analytics
Both of the products selected are very good at what they do, but data lake analytics is able to bundle everything else within our preexisting data lake, which is a very big [deciding] factor.
Cube Cloud

No answer on this topic

User Ratings
Azure Data Lake AnalyticsCube Cloud
Likelihood to Recommend
8.7
(0 ratings)
-
(0 ratings)
User Testimonials
Azure Data Lake AnalyticsCube Cloud
Likelihood to Recommend
For us we have an enterprise of SQL users at all skill levels, and this product is very SQL friendly and extremely fast in creation of data aggregates and analysis. If you are an Azure storage user, considering using Lake Analytics over top of your blob or any other storage just adds complementary services and functions native to your existing architecture.
Verified User
Anonymous
Read full review
No answers on this topic
Pros
  • It combines big data.
  • Monitors and alerts are helpful.
  • Report visualization relies on analytics.
  • It is compatible with Power BI services for report generation.
Sam Joseph Gomez | TrustRadius Reviewer
Sam Joseph Gomez
Sr. Data Analyst
Read full review
No answers on this topic
Cons
  • 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
Read full review
No answers on this topic
Alternatives Considered
Azure Data Lake simplifies extensive data analysis. It runs Hadoop, HDInsight, and Data Lakes, and even complex queries run smoothly and quickly. We write queries to transform data and extract insights instead of configuring hardware. It can handle any size job by adjusting the power. Azure's servers, networking, and data entry are fantastic. It provides security and assured data access.
Sam Joseph Gomez | TrustRadius Reviewer
Sam Joseph Gomez
Sr. Data Analyst
Read full review
No answers on this topic
Return on Investment
  • Since we have implemented this solution, we have been more able to follow what is going on in our process and sells.
  • We are also sparing some money by comparing the costs now against the costs we had on-premise.
Verified User
Anonymous
Read full review
No answers on this topic
ScreenShots