AdvancedMiner vs. Coginiti

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.

Incentivized

Aginity is able to track productivity which has been helping us be able to determine areas that need improvement. we have found agility very user-friendly in terms of ease of scalability. moreover, its ability to reuse SQL has saved us a lot of time because we do not have to re-code SQL.

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

• Query auto-completion
• Database exploration including schemas, tables, columns, distribution keys, sort keys, etc.
• Common scenario query samples, and easy access to table DDL
• Table size operational report
• Free community edition

Incentivized

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

Incentivized

• For one, I don't like how the parenthesis are automatically created as a set. Often times I only need to type one part of the parenthesis, but it creates a set of ( and ), forcing me to delete them because I didn't need the other half at where my cursor was. Same goes with any other sort of characters, such as ' '. I understand that it's suppose to be smart, but more often than not, it's causing more inconvenience and wasting more time, than actually saving time simply because it types an extra ) or ' for me.
• The error message and the log. I would think there probably is a log somewhere, but the fact that I've been using Aginity for close to a year now, and I still haven't found something similar to a log, is saying something about this feature. A log is like a standard thing nowadays, for running codes, to check against what has happened with the code, and for debugging what you have done wrong within the code. It also contains error messages, and help you troubleshoot with a clearer picture. The error message display current is very small and hard to read, sometimes the error message itself is not as easy to understand either. I use SAS on a daily basis as well, I feel like SAS has done a way better job on this issue, than Aginity.

Incentivized

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.

Incentivized

Aginity offers the best tools for data research, which are easy to use and customize. Unlike Aginity, AdvancedMiner wasn't only hard to deploy but also was highly-priced.

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

• The tool helped us to implement all Supply Chain and Retail data into the DWH
• The tool allowed us to control ETL and reporting access, monitor them, and prioritize user's access
• If you do not use the tool in the correct way, the risk is to delete some business information

Incentivized