We performed a comparison between SQL Server and Tableau based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Oracle, SAP and others in Relational Databases Tools."Backups hardly get corrupt."
"SQL Server is essentially the backbone of every microservice. From a developer's perspective, it is the backbone of all microservices. The tool enables data retrieval, set data, and essential operations, ensuring the smooth functioning of applications. In essence, it is the integral part that keeps applications operational."
"Its availability for a secured server is one of its most valuable features. Also its replications - we can manage eight replicas. Their clustering and availability groups are also valuable."
"It works fine in terms of performance and stability."
"The initial setup is time-efficient and can be done independently."
"The management studio is probably the thing we use the most for running quick queries and creating quick reports. Quite often, somebody comes and says, "Hey, can you find XYZ?" It is so much easier just to jump in there and run a quick query."
"The most valuable features of SQL Server are the speed, great support, and it is from a known vendor."
"The fact that SQL Server fully integrates within the entire Microsoft ecosystem is a plus."
"Tableau is easy to use compared to some other solutions, such as Excel."
"I have found the solution easy to use and the interface is very good."
"Compared to other products, visualization features are really good."
"It is very easy to implement and to use."
"You are able to see and follow trends."
"All features are valuable. It is very user-friendly, and it is mostly drag-and-drop. If we have the dataset available, then we can develop any dashboard very quickly."
"The most valuable feature is the richness of its visualization and from a self-service standpoint, the ease of use."
"From my perspective, it enables clients to better understand our data and make better decisions based on that information."
"There is a lot of room for improvement when it comes to limited compatibility across the platform and restricted performance with massive data sets."
"Sometimes, the tool doesn't support all the native features, and because of this, our company has to customize it to meet our requirements, which is a challenging process for our company's engineers."
"Sometimes we experience issues with its stability."
"Technical support could be faster."
"The configuration process can be a little complex."
"I have experience working with SQL Server 2016 and older versions, including handling JSON data. Initially, I found the JSON capabilities to be less helpful, but over time, they have greatly improved. SQL Server now offers extensive capabilities for working with various forms of data, particularly when communicating with text, such as in JSON format. I particularly prefer working with these features on Azure, as it provides numerous possibilities, especially in the field of business intelligence (BI). Additionally, the serverless platform offered by Azure is highly beneficial and makes tasks easier to manage."
"Linux-based editions are not yet proven to be on par with Windows deployments."
"The scalability could be better."
"Tableau's automatic insight could be improved. It has some predefined capabilities to understand the data, but I think they need more. Customers need more insight automatically from data—they don't want to discover them, they want to get the forecast automatically. The data preparation should also be improved because it's not easy. Tableau tries to focus on the business side, but the backend side has not improved much. They also have an ETS solution, but it's limited."
"Its price is a concern. It is more expensive than Power BI. The other thing that I never liked about Tableau is its ability to handle large sets of data. To present the data in the dashboards, we have to stage it up exactly like it is going to come into the dashboard. We use another tool called Alteryx that does that for us. So, we manipulate the data, get it staged, and then push it into Tableau. Tableau is terrible at handling large data sets, and we knew right away that we couldn't use Tableau to do data manipulation."
"The interface can be improved, in part because there is no indication that something is running or that it's processing."
"Tableau has so many functions, so sometimes it's hard to find the right solution quickly. I have to search multiple menu bars to find the right command."
"An advanced type of visualization is a bit tricky to create. It has something called a Calculated field, and that sometimes gets a bit difficult to use when you want to create an advanced type of visualization."
"Reports should be downloadable as PDF files."
"More integration with Python or something related to machine learning would be a good improvement."
"The use of this service in the desktop version is annoying due to the constant updates which lead to reinstalling the application. If they could give support with updates on the same downloaded version, it would be great."
SQL Server is ranked 1st in Relational Databases Tools with 260 reviews while Tableau is ranked 2nd in BI (Business Intelligence) Tools with 293 reviews. SQL Server is rated 8.4, while Tableau is rated 8.4. The top reviewer of SQL Server writes "Easy to use and provides good speed and data recovery". On the other hand, the top reviewer of Tableau writes "Provides fast data access with in-memory extracts, makes it easy to create visualizations, and saves time". SQL Server is most compared with MariaDB, SAP HANA, Oracle Database, LocalDB and SAP SQL Anywhere, whereas Tableau is most compared with Microsoft Power BI, Amazon QuickSight, Domo, SAS Visual Analytics and Databricks.
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