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Tableau was really cool 10 years ago when they went to market with a product that was really easy to use (drag-and-drop fields to easily create reports) and very shiny charts and chart types. However, after the salesforce acquisition the product got in a stall mode, probably due to all the internal chaos that such an acquisition means. When you need to do something more meaningful you would need to get into calculated attributes, lots of them and the many settings that you can use to create reports and dashboards. At one company I consulted for, I saw so many amazing dashboards that I can only imagine took months to develop. One thing that I have always criticized about Tableau is that the reports are really nice and shiny as long as your data is not big, but as soon as you start working with bigger data than 10MBs speed is an issue, in refreshing reports, updating them, and then you have to get into things like Extracts which are quicker but then you have to manage them. Connectors to other DBs are mostly all very slow if you have a lot of data. There is no direct connection, it is always via JDBC or ODBC which by nature is slow. For Dashboards there is no function to refresh dashboards automatically, which makes the case for real time dashboards practically unusable or you have to go and use external plugins which could also be a problem in my mind. Tableau Server is a good product but it requires a lot of resources, a small server wont do, that for me is a disadvantage.
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By Qlik
Over all experience with Qlik has been very good yet could get better in some of our use cases.
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Working with Amazon QuickSight has been a largely positive and practical experience. As a cloud-native BI tool, it stands out for how quickly you can get started without worrying about infrastructure setup or maintenance. The integration with AWS ecosystem is seamless. Overall, it is a strong, scalable and cost effective analytics solution, particularly for AWS Centric environments. It is well suited for organizations looking to enable fast data-driven decision-making without investing heavily in infrastructure or dedicated BI resources.
Read all insights and reviews for Amazon QuickSightAs a software engineer, my overall experience using Looker has been honestly pretty solid, mostly because it caters heavily to a developer-first mindset. The absolute biggest game-changer for me is LookML. Unlike other BI tools where you are stuck in a clunky drag-and-drop UI, Looker lets me actually write code to define the semantic layer. Being able to use Git for version control, open pull requests, and keep the logic DRY with extends and explores makes it feel like a natural extension of our standard engineering workflows. That said, it is not entirely without its quirks. While LookML is incredibly powerful, the learning curve can be a bit steep for non-devs. This sometimes means data requests still bottleneck with the engineering team. Also, debugging complex Persistent Derived Tables or deciphering the exact SQL Looker generates under the hood can occasionally turn into a frustrating rabbit hole. You quickly learn that Looker is only as fast as your underlying data warehouse. Overall, though, I really like using it. It perfectly bridges the gap between raw SQL and non-technical business users. I honestly do not dread building business dashboards anymore, simply because I know the underlying data models are robust and maintainable.
Read all insights and reviews for LookerBy Strategy
There is some intuitive features in Strategy that make it easy to create simple dashboards for business users. However, when you getting into more complicated side of analytics it really depends on how your company uses the product with how easy it is to use. As a business user, I get frustrated when some other the features that are available in web are not available in desktop and vice versa.
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easy to use, ensures consistency and reliability across departments
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Sisense has allowed us to create robust dashboards and widgets that help us gain insight into our data. We previously used an in-house solution which took time away from product development. Using Sisense has allowed us to meet client specific needs as well as provide a company wide standardization for analytics. They have helped us scale and be nimble in our journey.
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By Qlik
Product performs a lot of roles at one time. It provides intelligence reports and data visualizations. Real time data exporting is simple with qlik abd they have new reporting features added. There are no additional functions for some serious cases. Reporting and Intelligence data helps in managing decisions and its analysis. Helps organization in every means. However there are data minings with visuals and warehousing with a feature of self servicing. Overall this product will give you a collaborative analysis of all insights, its agile's developing and deploying. It connects the most with Tableau and Domo applications.
Read all insights and reviews for QlikView (Legacy)Where Microsoft Power BI Scored Higher