SQL Server vs Tableau comparison

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Microsoft Logo
32,173 views|24,063 comparisons
93% willing to recommend
Tableau Logo
26,131 views|22,454 comparisons
89% willing to recommend
Comparison Buyer's Guide
Executive Summary

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.
To learn more, read our detailed Relational Databases Tools Report (Updated: April 2024).
770,458 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"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."

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"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."

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Cons
"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."

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"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."

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Pricing and Cost Advice
  • "The free version is cumbersome to use and maintain. But $5000 for a licence is more expense than the benefit I would get from a licensed version. A licence might be worth the price to simplify management and speed up searches."
  • "​We are a Microsoft shop, so we use Active Directory. That integrates well with this product, but we did look at Oracle. We also looked at IBM. This was the best price point for us for what we were getting.​"
  • "​It has the easiest licensing."
  • "This is a downside of enterprise Microsoft products."
  • "Currently, almost all of my machines are in Azure and I think it is the best way of licensing now (VM+software)."
  • "The price has been going higher and higher. The market is quite price sensitive."
  • "My advice is quite straightforward. If you know the number of users who really and truly need access to the Server then it is a no-brainer. If you do not know, then get the basic package and minimum licenses and start from there. Needless to say, users can develop/use data structures outside and then deploy onto the Server."
  • "The setup cost is high, but it will return every penny."
  • More SQL Server Pricing and Cost Advice →

  • "For big business, Tableau could be expensive as having a lot of Tableau server users (entering with a browser to reports) could be a bit expensive."
  • "Best advice on pricing is to anticipate the desire for more licenses once the results of this product are acknowledged in other parts of your company."
  • "Paying for users you never setup or buying expensive desktop licenses for users who can solve their users with web editing on the server are the two biggest expenses."
  • "Buy 50 at a time. Project your use base every three months, and project your requirements forward."
  • "Tableau can be costly (but this can be indefinable, such as user experience vs. cheaper etc.)"
  • "I wish there was more of a subscription model with the pricing when it comes to Tableau, so you can get all the latest version upgrades/features if you pay monthly/annually."
  • "The cost is high."
  • "Deployment of dashboards to viewers and unit supervisors can be prohibitively expensive."
  • More Tableau Pricing and Cost Advice →

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    Comparison Review
    Anonymous User
    After a recent presentation, several attendees asked me about the applications of Visual Insights and Tableau. Many companies are investing in both tools and are trying to figure out the right tool for specific applications Tableau has found its sweet-spot as an agile discovery tool that analysts use to create and share insights. It is also the tool of choice for rapid prototyping of dashboards. Tableau is very flexible with its data import. Tableau's data blending capability is very intuitive. This capability is useful when you have data spread across several different sources that has not gone through ETL processes. This is a problem analysts deal with routinely. They are unable to wait for the data warehouse team to develop ETL processes to provide the physical models they need to build an analysis. The Tableau interface is Excel-like and has a low barrier to entry for analysts that are used to working in Excel. Building a dashboard by mashing up visualizations in a Tableau worksheet is extremely simple. Users are able to build good presentation-quality dashboards in a very short amount time. Tableau's annotations capabilities and its time and geographical intelligence are key differentiators. Tableau has overcome limitations in data sharing with the introduction of a Data Server in Tableau 7.0. The Data server allows Data sources and extracts to be shared securely and opens up interesting new possibilities. If your application can take advantage of the above… Read more →
    Questions from the Community
    Top Answer:SQL Server is fairly priced because it has various editions, depending on the number of users, servers, or core packs you are using. If you compare the product to others in this category, the prices… more »
    Top Answer:SQL Server has helped my organization through partitioning to distribute the workload, as it splits them up into smaller pieces so the machines can easily deal with it. However, this comes with a high… more »
    Top Answer:My company connects through SQL Server authentication. We have company Windows accounts, but we do not want to connect the two, out of security concerns and to keep things separated for our own… more »
    Top Answer:It depends on the Data architecture and the complexity of your requirement Some great tools in the market are Qlik Sense, Power BI, OBIEE, Tableau, etc. I have recently started using Cognos… more »
    Top Answer:Both tools have their positives and negatives. First, I should mention that I am relatively new to Tableau. I have been working on and off Tableau for about a year, but getting to work on it… more »
    Top Answer:Tableau is easy to set up and maintain. In about a day it is possible for the entire platform to be deployed for use. This relatively short amount of time can make all the difference for companies… more »
    Ranking
    Views
    32,173
    Comparisons
    24,063
    Reviews
    31
    Average Words per Review
    410
    Rating
    8.4
    Views
    26,131
    Comparisons
    22,454
    Reviews
    13
    Average Words per Review
    537
    Rating
    8.7
    Comparisons
    MariaDB logo
    Compared 19% of the time.
    SAP HANA logo
    Compared 14% of the time.
    Oracle Database logo
    Compared 12% of the time.
    LocalDB logo
    Compared 10% of the time.
    SAP SQL Anywhere logo
    Compared 1% of the time.
    Microsoft Power BI logo
    Compared 18% of the time.
    Amazon QuickSight logo
    Compared 10% of the time.
    Domo logo
    Compared 9% of the time.
    SAS Visual Analytics logo
    Compared 5% of the time.
    Databricks logo
    Compared 4% of the time.
    Also Known As
    Microsoft SQL Server, MSSQL, MS SQL
    Tableau Desktop, Tableau Server, Tableau Online
    Learn More
    Overview

    SQL Server is a relational database management system (RDBMS) by Microsoft. The product's main purposes are to store data and retrieve it as requested by other software applications - on the same computer or on another computer across a shared network. The solution is built on top of Structured Query Language (SQL), which is a standardized programming language used for relational database management.

    The product is tied to Transact-SQL (T-SQL), which is an implementation of SQL from Microsoft that adds several proprietary programming extensions to the standard language. SQL Server is built similarly to other RDBMS products, as its structure is a row-based table that connects related data elements in different tables to one another. One of its most important components is the SQL Server Database Engine, as it controls data processing, storage, and security. Beneath the Database Engine is the SQL Server Operating System, which is used for memory and I/O management, locking data to avoid unneeded upgrades, and job scheduling.

    The solution has four editions with different sets of services and tools. They include:

    • SQL Server Developer
    • SQL Server Expression
    • SQL Server Standard 
    • SQL Server Enterprise

    The first two are available for free and are typically utilized by smaller companies, as they work with fewer functions and storage. The second two editions are generally used by bigger organizations and enterprises and offer more features.

    The solution has several functions through which users can facilitate different data-related processes. These include:

    • Aggregate functions: These functions are used to calculate one or more values and return a single value.

    • Window functions: Window functions calculate an aggregate value based on a group of rows and return multiple rows for each involved group.

    • Date functions: These functions allow clients to handle data and time data efficiently.

    • String functions: Through the string functions, SQL Server processes an input string and returns a string or numeric value.

    • System functions: The system functions of the product return objects, values, and settings.

    SQL Server Services

    SQL Server has a wide range of add-on services that provide additional benefits beyond database management. These services include:

    • Machine learning: SQL Server machine learning services allow users to do machine learning and data analytics within the product.
       
    • Service broker: This feature is a part of the database engine and offers messaging and message queuing for applications on the platform.

    • Replication: This feature consists of transaction replication, merge replication, and snapshot replication. 

    • Analysis: SQL Server Analysis Services (SSAS) adds online analytical processing (OLAP) and data mining capabilities to SQL Server databases.

    • Reporting: This feature supports the development of custom reporting applications.

    • Notifications: This feature generates data-driven notifications which are sent to subscribers of Notification Services.

    • Integration: This SQL Server feature provides capabilities for data integration, data import, and data warehousing.

    • Full-text search: Through this feature, users can utilize specialized indexing and query for unstructured text stored in the solution.

    • Visual studio: This feature supports data programming with SQL Server.

    • Azure Data Studio: This is a cross-platform query editor that can be downloaded and used alongside SQL Server.

    SQL Server Benefits

    The solution has many benefits for users. These include the following:

    • The platform ensures a consistent experience across other platforms while being fast and agile.

    • Through the built-in intelligence features, users can understand their data better.

    • The solution has enterprise-level security, which ensures the smooth and safe performance of users' data.

    • SQL Server offers the ability to retrieve large amounts of data quickly and efficiently.

    • The product installation process is fairly easy, and it offers a user-friendly interface.

    • SQL Server offers improved data storage and retrieval functions through frequent upgrades.

    • The solution reduces the risk of database server attacks, since it is not an open-source database.

    Reviews from Real Users

    A president at a consultancy evaluates SQL Server as a veteran solution with critical log shipping feature

    Harkamal S., a user at a manufacturing company, rates SQL Server with a high mark because it is a stable, scalable, and easy-to-deploy solution that pretty much covers everything.

    Tableau is a tool for data visualization and business intelligence that allows businesses to report insights through easy-to-use, customizable visualizations and dashboards. Tableau makes it exceedingly simple for its customers to organize, manage, visualize, and comprehend data. It enables users to dig deep into the data so that they can see patterns and gain meaningful insights. 

    Make data-driven decisions with confidence thanks to Tableau’s assistance in providing faster answers to queries, solving harder problems more easily, and offering new insights more frequently. Tableau integrates directly to hundreds of data sources, both in the cloud and on premises, making it simpler to begin research. People of various skill levels can quickly find actionable information using Tableau’s natural language queries, interactive dashboards, and drag-and-drop capabilities. By quickly creating strong calculations, adding trend lines to examine statistical summaries, or clustering data to identify relationships, users can ask more in-depth inquiries.

    Tableau has many valuable key features:

    • Tableau dashboards provide a complete view of your data through visualizations, visual objects, text, and more.
    • Tableau provides convenient, real-time options to collaborate with other users and instantly share data in the form of visualizations, sheets, and dashboards. 
    • Tableau ensures connectivity to both live data sources and data extraction from external data sources as in-memory data. This gives users the flexibility to use data from more than one source without any restrictions. 
    • Tableau gives many data source option, ranging from spreadsheets, big data, on-premise files, relational databases, non-relational databases, data warehouses, and big data, to on-cloud data. 
    • Tableau has a lot of pre-installed information on maps, such as cities, postal codes, and administrative boundaries. 
    • Tableau has a foolproof security system based on authentication and permission systems for data connections and user access. Tableau also gives you the freedom to integrate with other security protocols.

    Tableau stands out among its competitors for a number of reasons. Some of these include its fast data access, easy creation of visualizations, and its stability. PeerSpot users take note of the advantages of these features in their reviews:

    Romil S., Deputy General Manager of IT at Nayara Energy, notes, "Its visualizations are good, and its features make the development process a little less time-consuming. It has an in-memory extract feature that allows us to extract data and keep it on the server, and then our users can use it quickly.

    Ariful M., Consulting Practice Partner of Data, Analytics & AI at FH, writes, “Tableau is very flexible and easy to learn. It has drag-and-drop function analytics, and its design is very good.

    Sample Customers
    Microsoft SQL Server is used by businesses in every industry, including Great Western Bank, Aviva, the Volvo Car Corporation, BMW, Samsung, Principality Building Society, Wellmark Blue Cross and Blue Shield, and the Catholic District School Board of Eastern Ontario.
    Accenture, Adobe, Amazon.com, Bank of America, Charles Schwab Corp, Citigroup, Coca-Cola Company, Cornell University, Dell, Deloitte, Duke University, eBay, Exxon Mobil, Fannie Mae, Ferrari, French Red Cross, Goldman Sachs, Google, Government of Canada, HP, Intel, Johns Hopkins Hospital, Macy's, Merck, The New York Times, PayPal, Pfizer, US Army, US Air Force, Skype, and Walmart.
    Top Industries
    REVIEWERS
    Financial Services Firm18%
    Computer Software Company13%
    Manufacturing Company10%
    Comms Service Provider5%
    VISITORS READING REVIEWS
    Educational Organization42%
    Financial Services Firm9%
    Computer Software Company8%
    Manufacturing Company5%
    REVIEWERS
    Financial Services Firm13%
    Computer Software Company12%
    University7%
    Healthcare Company7%
    VISITORS READING REVIEWS
    Educational Organization35%
    Financial Services Firm11%
    Computer Software Company8%
    Manufacturing Company6%
    Company Size
    REVIEWERS
    Small Business41%
    Midsize Enterprise21%
    Large Enterprise38%
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise48%
    Large Enterprise39%
    REVIEWERS
    Small Business32%
    Midsize Enterprise18%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise40%
    Large Enterprise47%
    Buyer's Guide
    Relational Databases Tools
    April 2024
    Find out what your peers are saying about Microsoft, Oracle, SAP and others in Relational Databases Tools. Updated: April 2024.
    770,458 professionals have used our research since 2012.

    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.

    We monitor all Relational Databases Tools reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.