AdvancedMiner vs. Azure Data Lake Analytics

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AdvancedMiner
Score 9.0 out of 10
Mid-Size Companies (51-1,000 employees)
Designed to deploy predictive models One tool for data processing, analysis and modeling! The user-friendly workflow interface helps you explore all your data & more. Supports all analytical tasks: Extracting and saving data from/to different database systems, files, and data transformations Performing a wide range of operations on data, such as sampling, joining data-sets, and dividing Building popular statistical models, clustering analysis, variable importance…
$1,399
5 users and above
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
Pricing
AdvancedMinerAzure Data Lake Analytics
Editions & Modules
AdvancedMiner Elite
1 399
5 users and above
AdvancedMiner Pro
2 399
3-5 Users
AdvancedMiner Server
14 999
Unlimited Users
No answers on this topic
Offerings
Pricing Offerings
AdvancedMinerAzure Data Lake Analytics
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
YesNo
Entry-level Setup Fee$2,999 1-2 usersNo setup fee
Additional Details* Server Version has unlimited number of users only limited by your server capacity *Prices are quoted in USD
More Pricing Information
Community Pulse
AdvancedMinerAzure Data Lake Analytics
Top Pros
Top Cons
Best Alternatives
AdvancedMinerAzure Data Lake Analytics
Small Businesses
Klipfolio
Klipfolio
Score 8.7 out of 10
Klipfolio
Klipfolio
Score 8.7 out of 10
Medium-sized Companies
Alteryx
Alteryx
Score 9.0 out of 10
Alteryx
Alteryx
Score 9.0 out of 10
Enterprises
Alteryx
Alteryx
Score 9.0 out of 10
Alteryx
Alteryx
Score 9.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AdvancedMinerAzure Data Lake Analytics
Likelihood to Recommend
9.0
(2 ratings)
8.7
(6 ratings)
User Testimonials
AdvancedMinerAzure Data Lake Analytics
Likelihood to Recommend
Algolytics
It can be time-consuming and expensive to visualize data in multi-cloud and on-premise applications. I would recommend my colleagues try this solution in order to collect, model, and visualize data automatically.
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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.
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Pros
Algolytics
  • Different model integration, more so the external database analytical procedures.
  • Further, AdvancedMiner helps in developing various statistical options and models, for advanced analysis.
  • AdvancedMiner makes the extraction and the mining of data, a proper solution for wide range performance.
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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.
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Cons
Algolytics
  • Nonetheless, AdvancedMiner [does] not focus on large enterprises' data visualization needs.
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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.
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Alternatives Considered
Algolytics
AdvancedMiner creates proper data extraction mechanisms, where storage procedures are also outlined and kept safe. Further, the statistical models are in proper work relationship with AdvancedMiner, which results in results that are accurate and authentic. Further, the complex database analysis from AdvancedMiner allows proper market evaluations and outstanding actionable insights.
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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.
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Return on Investment
Algolytics
  • Self-service capabilities has enabled us to get rid of external data scientists.
  • Workloads has reduced while saving time analyzing data automatically.
  • We have increased time to value.
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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.
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ScreenShots

AdvancedMiner Screenshots

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