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Azure Data Lake Analytics vs. Clarify Meridian

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Data Lake Analytics
Score 5.6 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
Clarify Meridian
Score 0.0 out of 10
N/A
Clarify Health is an analytics platform that enables health systems to deliver more satisfying and efficient care, by providing real-time insights and nudges to patients, family members and clinicians. The solution optimizes episode of care workflows. Real-time tracking and machine learning analytics guide patients through dynamically-updated care journeys. Patients and family members benefit from greater transparency, personalization and engagement. Clinicians can focus on the…N/A
Pricing
Azure Data Lake AnalyticsClarify Meridian
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure Data Lake AnalyticsClarify Meridian
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional Details——
More Pricing Information
Community Pulse
Azure Data Lake AnalyticsClarify Meridian
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.
Clarify Meridian

No answer on this topic

Best Alternatives
Azure Data Lake AnalyticsClarify Meridian
Small Businesses

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OutboundEngine
OutboundEngine
Score 10.0 out of 10
Medium-sized Companies

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OutboundEngine
OutboundEngine
Score 10.0 out of 10
Enterprises

No answers on this topic

Influitive
Influitive
Score 8.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Azure Data Lake AnalyticsClarify Meridian
Likelihood to Recommend
8.7
(0 ratings)
-
(0 ratings)
User Testimonials
Azure Data Lake AnalyticsClarify Meridian
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