Azure Analysis Services vs. Longview Analytics (arcplan)

We would have many technical issues and glitches with previous similar providers but found that Azure Analysis Services can simply handle our workload and memory better. I remember we lost an account due to cloud issues not fully saving or corrupting some files. Granted, this is rare with any cloud but haven't had that issue with the same load of memory with Azure Analysis Services.

Incentivized

It is very suitable for complete corporate BI solutions. If you see BI as embedding information into your organization and business processes, and thus as more than just a few scattered dashboards and reports, arcplan is your platform. It's less suitable for ad-hoc reporting and data discovery. It can do it (everything is possible), but there is strong competition in this area.

• Providing role based access or we can say privilege based on the role to the user if it is integrated with Azure active directory and hence securing the access to sensitive data.
• We use to run different type of analytics services to get the better result which is hectic if done manually or with human efforts.
• We also use to collect bulk of data with the help of this tool and run customized test cases for better efficiency of result and better decision making. The result are very crucial and helps in taking big decision.
• It supports different or we can say heterogeneous database vendors like the Oracle, SQL, and hence make the task easy.

Incentivized

• Excellent dashboard.
• Well advanced BI metrics.
• Better interfacing to other DW.

Incentivized

• Microsoft Azure Analysis Services is very costly solution and in that price we can get some better business intelligence tool with lot more of capabilities
• The dashboard or we can say user interface is complex and need time to understand and gain expertise in order for proper working.
• It needs continuation monitoring which is sometime a big task.
• Sometime, the tool shows unusual behavior and become unstable, so we need to clear temp files for proper functioning.

Incentivized

• Positioning and marketing. Most BI vendors use a non-technical sales strategy and focus on shiny, sexy dashboards to sell the story. In order to position arcplan fairly and correctly, the technical and business advantages need to be part of a sales story. So, it is not really an easy product to sell to customers, if it has to compete with now-to-wow-five-minute products.
• Learning/training for developers. It's easy to learn the basics of arcplan, because the interface is logical. But nothing prevents a beginning developer from creating a monstrous application, because there is no prescribed architecture. It really takes some experience to become a good arcplan architect. It's a disadvantage resulting from one of arcplan's biggest advantages.
• Data connectors: arcplan standard comes with a connector of your choice. Additional connectors need to be purchased separately. Many other products come with a full range of connectors.

The best thing about it is the ability to create a query and drill down the data to a more granular level when needed. The best thing about Azure Analysis Services is. It provides secured access anytime from anywhere, it also provides REST API for this, which is very easy to use, and it provides video tutorials for beginners means you get the whole package of learning and implementation!!

Incentivized

Personally, I prefer QlikView not because it's more stable but simply just for the looks of the dashboard. One of my clients in Sydney recently moved from arcplan to QlikView. The reason was mainly looks and that QlikView has more training materials for the support users to train with. So in all, it does not really stack well against QlikView.

Incentivized

• Azure Analysis Service scale resources to match our business needs.
• Helps us to govern, deploy, test and deliver our BI solution with confidence.
• Stores our business data and clients data in a safe place where it's easy to access and visible to all our teams.

Incentivized