Sigma Computing headquartered in San Francisco provides a suite of data services such as code free data modeling, data search and explorating, and related BI and data visualization services.
N/A
Tableau Desktop
Score 8.1 out of 10
N/A
Tableau Desktop is a data visualization product from Tableau. It connects to a variety of data sources for combining disparate data sources without coding. It provides tools for discovering patterns and insights, data calculations, forecasts, and statistical summaries and visual storytelling.
$75
per month per user
Pricing
Sigma Computing
Tableau Desktop
Editions & Modules
No answers on this topic
Tableau
$75
per month per user
Tableau Enterprise
$115
per month per user
Offerings
Pricing Offerings
Sigma
Tableau Desktop
Free Trial
Yes
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
Contact us for pricing.
All pricing plans are billed annually.
More Pricing Information
Community Pulse
Sigma Computing
Tableau Desktop
TrustRadius Insights
Sigma Computing
Tableau Desktop
Highlights
Research Team Insight
Published
Sigma and Tableau Desktop are both software businesses can use to gain insight into large amounts of data and create informative, interactive data visualizations. Sigma is a data discovery and visualization platform designed to help businesses create visualizations without writing any code. Tableau Desktop is a Business Intelligence tool built to help businesses gain useful insights from business data. Sigma is more popular with mid-sized business, while Tableau Desktop is most popular with large enterprises, likely due to its support for big data analysis.
Features
Sigma and Tableau Desktop both include features for creating data visualizations, but they also have some unique features that set them apart from each other.
Sigma is designed to handle cloud analytics and reporting quickly and efficiently. Using Sigma, businesses can model data and create visualizations without waiting in reporting queues. Additionally, Sigma utilizes a spreadsheet style interface so new users that aren’t familiar with data visualization tools can easily learn to create models and visualizations.
Tableau Desktop helps experienced users quickly create complex and interactive visualizations, including a variety of visualization templates that can be used out of the box. Tableau Desktop also makes it easy to connect multiple data sources with analysis. Lastly, Tableau Desktop allows for the creation of detailed reporting dashboards.
Limitations
Sigma and Tableau Desktop help businesses analyze data, but they also have some limitations that are important to consider.
Sigma allows for efficient analysis and reporting, but visualizations and dashboards created using Sigma are aesthetically limited, which can result in less attractive visualizations. Additionally, while Sigma offers a mobile application, it is not as feature complete as the desktop application and is more difficult to use for new users.
Tableau Desktop creates aesthetically pleasing and complex visualizations, but it is slower when multiple users are trying to generate reports compared to Sigma. Additionally, Tableau’s interface has a bigger learning curve compared to spreadsheet based business intelligence tools. Tableau Desktop is ideal for businesses looking for high quality visualizations, but businesses looking for a simpler tool, or one with stronger analytics features may consider other options.
Pricing
Pricing details for Sigma aren’t available, but businesses can reach out to the vendor for a detailed quote.
Tableau Desktop pricing depends on the number of licenses purchased. The Viewer license costs $12.00 per month per user and allows for data viewing and interaction. The Explorer package costs $35.00 per month per user and allows for data querying and content sharing. Lastly, the Creator package costs $70.00 per month per user and allows for the creation of sophisticated visualization.
Features
Sigma Computing
Tableau Desktop
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Sigma Computing
8.9
Ratings
9% above category average
Tableau Desktop
8.3
Ratings
2% above category average
Pixel Perfect reports
8.80 Ratings
8.80 Ratings
Customizable dashboards
9.20 Ratings
8.40 Ratings
Report Formatting Templates
8.70 Ratings
7.80 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Sigma Computing
8.6
Ratings
7% above category average
Tableau Desktop
8.7
Ratings
8% above category average
Drill-down analysis
9.40 Ratings
8.60 Ratings
Formatting capabilities
8.20 Ratings
9.20 Ratings
Integration with R or other statistical packages
7.30 Ratings
7.70 Ratings
Report sharing and collaboration
9.40 Ratings
9.20 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Sigma Computing
9.1
Ratings
9% above category average
Tableau Desktop
8.1
Ratings
2% below category average
Publish to Web
9.90 Ratings
7.30 Ratings
Publish to PDF
9.00 Ratings
7.90 Ratings
Report Versioning
9.90 Ratings
8.20 Ratings
Report Delivery Scheduling
9.70 Ratings
9.20 Ratings
Delivery to Remote Servers
7.00 Ratings
8.00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Scenarios where Sigma Computing is well suited: - Data Reporting and Visualisation : It is suitable for dashboards that integrate data from multiple back-office systems - Search and Filtering Capabilities: It provides a robust platform for searching through datasets and visualisations. Scenarios where Sigma Computing is less appropriate: Handling of null values and dynamic table adjustments
The best scenario is definitely to collect data from several sources and create dedicated dashboards for specific recipients. However, I miss the possibility of explaining these reports in more detail. Sometimes, we order a report, and after half a year, we don't remember the meaning of some data (I know it's our fault as an organization, but the tool could force better practices).
The Visualizations graphics are really good and the color options help in designing attractive charts. They help to convey more information and can be made interactive.
You can add filters with offer you to plug and play with values and understand different outcomes.
You can drag and drop options while creating charts and dashboards. also it is a very fluid layout.
Viewer level license is quite limited. These users can't download data or even add filters on datasets. Something to keep in mind.
Directly querying the underlying data warehouse will lead to increased usage. Not a big deal on something like Redshift, but your Snowflake consumption will increase, potentially by a lot.
Because we are very satisfied with the product and would most likely renew because of the services it provides. It is a tool that you bring into your organization and let it change the way you analyze your data, present your data and share you date within the Respective teams
Because right now its the best option out there (disclosure: I haven't used Qlikview or some of the other direct competitors of Tableau). The big investment is in Tableau Server not desktop. For the cost of the license of Tableau desktop, its a pretty good deal. You can hook it up to pretty much any data source easily. You can easily share the visualizations with your team/colleagues easily. Tableau Desktop is generally easy to use for business users. But the more advanced stuff is better suited for a analyst or someone with a IT/CS background.
It has a clean and modern interface. However, it is not completely intuitive. I think it would be better and easier to navigate with more Windows style drop down menus and/or tabls. There is a significant learning curve, but that may be due in part to the technical nature of this type of software tool.
Tableau Desktop has proven to be a lifesaver in many situations. Once we've completed the initial setup, it's simple to use. It has all of the features we need to quickly and efficiently synthesize our data. Tableau Desktop has advanced capabilities to improve our company's data structure and enable self-service for our employees.
When used as a stand-alone tool, Tableau Desktop has unlimited uptime, which is always nice. When used in conjunction with Tableau Server, this tool has as much uptime as your server admins are willing to give it. All in all, I've never had an issue with Tableau's availability.
Tableau Desktop's performance is solid. You can really dig into a large dataset in the form of a spreadsheet, and it exhibits similarly good performance when accessing a moderately sized Oracle database. I noticed that with Tableau Desktop 9.3, the performance using a spreadsheet started to slow around 75K rows by about 60 columns. This was easily remedied by creating an extract and pushing it to Tableau Server, where performance went to lightning fast
They are very friendly and informative. They are quick in resolving our queries and help us understand very minute things as well. They are quick in creating feature tickets based on our custom requirements, and they would also create a bug ticket if there is any discrepancy and get that checked on time.
The Tableau Desktop's support team has been very helpful and tend to response very quickly. After all you have paid very premium price for the product and it goes to the services. This makes using the tool much easier for these who doesn't have such experience to get help quickly.
It is admittedly hard to train a group of people with disparate levels of ability coming in, but the software is so easy to use that this is not a huge problem; anyone who can follow simple instructions can catch up pretty quickly.
I think the training was good overall, but it was maybe stating the obvious things that a tech savvy young engineer would be able to pick up themselves too. However, the example work books were good and Tableau web community has helped me with many problems
Time needs to be spent ahead of implementation to make sure data sources are set up and ready. Consultants need to understand the data sources and the goals before setting foot on-site. Installation is easy, learning to use it takes time. The training resources available are great.
I am not an expert in any of these, though from my brief exposure to Looker it felt like a steeper learning curve, more appropriate to companies with dedicated and skilled BI engineers, whereas Sigma (and Tableau, and Looker Studio) offer a quicker and more intuitive interface for smaller companies like ours without dedicated BI resources on staff.
Tableau Desktop is clearly one of the best in the business. It has incredible capabilities, and many features are extremely useful. The intuitiveness of the dashboards and the graphical nature of the visualizations are widely used features and super helpful. One of the other benefits is that both programmers and non-programmers can equally explore and create their own opportunities, and seamless integration is possible.
Tableau Desktop's scaleability is really limited to the scale of your back-end data systems. If you want to pull down an extract and work quickly in-memory, in my application it scaled to a few tens of millions of rows using the in-memory engine. But it's really only limited by your back-end data store if you have or are willing to invest in an optimized SQL store or purpose-built query engine like Veritca or Netezza or something similar.
Monitoring health of cloud platform has allowed the company to anticipate issues before they affect customers – Sigma prompted us building a canary monitoring process that provides customer container health.
Customer success has used an activity report to discover customers running runaway processes that they were unaware of, creating an alert to contact the customer and prevent an embarrassing situation.
Customer success uses the activity report to prompt conversations regarding increases or declines in behavior that led to increasing contract limits or addressing churn concerns.
