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."It's a good option for those that have a lot of Microsoft solutions in use."
"As a data warehouse and storage solution, it's quite good."
"The solution seems to be pretty flexible."
"The latest version supports for big data analytics. SQL Server's vector processing-based batch execution mode is now available to the entire execution of R or Python code. Since much of the work that tends to be done in R and Python involves aggregation, batch mode - which processes rows of data several at a time, can be very helpful."
"The most valuable features for database management in SQL Server are SQL Server Management Studio and Visual Studio Code with its administration capabilities."
"The scalability of the product is great."
"It is a very user-friendly solution. It is easy to manage the databases and troubleshoot any issue. It is a perfect solution for the volume or transactions that we need to manage."
"Features like autoscaling, business continuity, and security are beneficial. The tool's compatibility with almost all of the enterprise-class applications is also beneficial for users."
"The ease of presenting findings is very helpful."
"The ability to deploy is the added ability to centralise the Tableau repository for all Tableau Developers."
"I work for clients. That is my business model. Business people really like to see Tableau. They love Tableau because it is very user-friendly. The platform provides an easy to use interface, which is what most people like about it."
"Tableau's most valuable feature is its ability to connect with various data sources and display real-time data on three different dashboards."
"It is definitely easy to use. It is intuitive, and more or less, everything can be done from the front end. As such, there is no concept of metadata. You can just take data from a database and start building your own stuff, such as OLAP data warehouse. You don't need extensive metadata modeling like Oracle BI."
"Tableau has comprehensive, insightful charts, which allow you to build stunning dashboards and enrich your support decision-making."
"The product has the best features for analytical views and filters."
"I consider Tableau to be the best analytical tool available. It's really handy to use and can be used by non-technical people."
"The solution could improve by being more user-friendly."
"SQL Server could improve by enhancing the integration abilities, adding more inbuilt data security features, and simplifying the maintenance."
"The pricing and quality of the product could be improved."
"The performance could improve."
"The agility of the non-SQL-based features is relevant on the market."
"Sometimes we experience issues with its stability."
"There are a lot of improvements in the cloud space about which we open a case with Microsoft every now and then. These improvements are not in terms of features or functionality. They are more related to their own compatibility or connectivity on which they keep on working to improve the product."
"It's difficult to make changes. It's a very complicated product in general — that's the issue."
"The SQL programming functionality needs to be improved."
"Tableau is difficult to scale because of the cost, which makes it difficult to scale."
"Requires a lot of user training."
"The user experience for less savvy or non-technical people (from my experience)."
"The forecasting feature in Tableau in my view is too limited because it must have dates but I should be able to predict the outcome of an event without having a date as part of the input."
"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."
"It should have more integration with different tools and technologies. Its licensing cost should also be improved."
"More integration with Python or something related to machine learning would be a good improvement."
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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