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."The most valuable feature of the solution, compared to other RDBMS solutions, such as Oracle MySQL or IBM DB2, it is more user-friendly and has backward compatibility. For example, if you have an application that requires an old version of SQL Server and you have the latest version of the license, you are able to install and use it in backward compatibility mode. They keep supporting the existing legacy application."
"SQL Server is a highly stable solution."
"I use the menu on the management view credit section to get information from the database."
"There was an online system in which we had about 2500 requests to the DB per second. Every request had a completion window of one second to process and retrieve data. After switching to SQL Server, and AlwaysOn, and Snapshot, and tinkering, and configuring and tinkering, the handling capacity we measured increased to about 5000 requests per second, while the time decreased to 0.5 seconds per request."
"The performance of SQL Server is perfect."
"It will do clustering, so you can have two database servers looking at the same data simultaneously."
"I believe Always On is the most valuable feature. It's also easy to use and not very tricky."
"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."
"It is very easy to create dashboards, charts, and graphs."
"Its performance is pretty good, and the development time is very low."
"It is very good for data visualization. It has very powerful visualizations and is easy to use."
"Although Tableau isn't the best for us when it comes to processing and working on live data, it is very good at extracting data for analysis."
"You are able to see and follow trends."
"The solution is easy to use, flexible, our clients enjoy seeing the data on maps, and you do not need to be an expert in SQL to use it."
"It most valuable feature is its ease of developing visualizations, not just charts and graphs."
"Tableau is easy to use. That's the first and most important thing. I not only provide consulting but I also train people to use it, so with its ease-of-use it's not as difficult for me to train executives and management staff, because they don't have the IT background, unlike when I'm using Python."
"SQL Server could improve by having better usability or user guidance."
"When we are talking about event space architecture, scalability generally comes into play. For example, I might have a hundred thousand transactions a second, and then all of a sudden, I build something that everybody in the world wants. The next thing I know is that I have a million transactions a second. So, to be able to process the throughput, I'd have to scale up, and then when the holidays are over, I'm again down to a hundred thousand transactions, and I want to scale back down. SQL Server is not going to do that. In this way, it is not very scalable. One of the reasons why they want us to use Kafka is so that if we need to, we can do that, but our base program is on SQL Server. So, this is where we would use a Kafka event stack so that if I need more servers, I can just write a command, and I can have more consumers, more brokers, and more producers, and when the holiday season is over, it scales right back down again. SQL Server is not going to do that."
"The tool needs to improve its pricing and technical support."
"The tool is expensive."
"The integration could be better. They are not open-source, so the integration with other platforms is not that easy."
"In the next releases, I would only like more enhanced backups and more restore points."
"Third-party services from Redgate should be built-in to it, like SQL Search."
"Since this is a relational order system, scalability has a limit. If your system is very big, you need bigger servers and you have to spend more money. We scale a system up to a certain level, and then we move or shift data to the warehouse, which is NoSQL. We then do not have any bottleneck in scaling. For using this technique we are happy with it."
"I would like Tableau to handle geospatial data better in terms of multiple layers and shapefiles."
"The setup was easy but we are having some problems with the configuration that is taking a long time. We have done some initial tests and some of the delays could be from bandwidth issues. However, the whole installation process should be simplified."
"More integration with Python or something related to machine learning would be a good improvement."
"The charts need to be improved. The drawings and the visualization need to be more accurate."
"When it comes to large datasets, the data should be extracted faster."
"They need to improve the bar chart position and width."
"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."
"Maybe the price could be a bit cheaper, especially if you're a personal developer that uses Tableau just to explore smaller data sets and you're not a company or something like that."
SQL Server is ranked 1st in Relational Databases Tools with 260 reviews while Tableau is ranked 2nd in BI (Business Intelligence) Tools with 292 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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