AdvancedMiner vs. Azure Data Lake Analytics

AdvancedMiner makes proper extraction of a database, allowing performance diversity in matters data analytics. More so, AdvancedMiner attempts to include different statistical models, which offer inferences that are authentic, actionable, and insightful. Again, AdvancedMiner deals with complex analytical proceedings, which allows every customer's demands and the marketing dynamics to be captured. Finally, AdvancedMiner has limitless functionality, from data storage, authentic evaluations, and visualization presentation.

Incentivized

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.

Incentivized

• 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.

Incentivized

• It combines big data.
• Monitors and alerts are helpful.
• Report visualization relies on analytics.
• It is compatible with Power BI services for report generation.

Incentivized

• Nonetheless, AdvancedMiner [does] not focus on large enterprises' data visualization needs.

Incentivized

• 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.

Incentivized

We evaluated Coadria, but the sales and support team delayed in responding to our tickets. For that reason, we implemented and deployed AdvancedMiner since they were highly responsive.

Incentivized

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.

Incentivized

• 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.

Incentivized

• 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.

Incentivized