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 Cloud
Score 8.1 out of 10
N/A
Tableau Cloud (formerly Tableau Online) is a self-service analytics platform that is fully hosted in the cloud. Tableau Cloud enables users to publish dashboards and invite colleagues to explore hidden opportunities with interactive visualizations and accurate data, from any browser or mobile device.
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 …
Sigma Computing exclusively uses Snowflake as its data source, which enhances data security by not caching or extracting data locally. Tableau, on the other hand, allows a broader range of internal databases and files like SQL Server, Postgres, etc., and supports extracted …
maintianed is very user friendly. Its various ways of embedding helped us in various aspects. The usage of control ids of the filters as parameters helped us in optimizing very longSQL queries. The live Support team every weekday is a very great intiative that helped in quick …
I'd rate Sigma to be extremely similar to Sisense except it looks not as nice. I would say that as a tool, Sigma is more user-friendly than Tableau, Power BI, Trevor, and Metabase.
I do feel that Looker is far more powerful and looks great, but I also recognize that Looker does …
Sigma computing has better pricing than the competitors. We're always looking for what is good for the price but also gives us all we need to complete our reporting. It also brings about a lot of updates that are nice to see. The embedding helps other BI tools sometimes.
Sigma has a better view of tables and it is much easier to create new data sets/aggregations. Tableau is better in some visual aspects because there is more customization available, albeit more confusing than Sigma to do. Sigma is very intuitive and did not take long to learn …
Sigma Computing had better functionality and is beginner friendly. While Tableau is a more well known product, Sigma Computing has a better user interface that is easier to comprehend for those without a non-technical background. This makes it easier to showcase dashboards to …
Sigma is the easiest to use from a workbook developer perspective, and from a non-technical end user perspective. Everything from administration, semantic layer setup, to creating dashboards is easier in Sigma than these other tools. Developing content in Sigma is enjoyable, …
Sigma has the capabilities of the other BI tools. I think it's pretty user friendly and easy to learn. Many of our stakeholders are used to using Excel so it's nice that it is a smooth onboarding process for them. We haven't looked into much of the visualization capabilities so …
I have found that Tableau can be used to create a greater variety of custom and complex visuals, though these visuals are far more difficult to create in a quick turnaround. While Sigma may be more limited in terms of what types of visuals can be create or how customized they …
With Looker, to be effective, a substantial amount of coding & modeling needs to happen in LookML. Being another language to learn, users have to context switch again from at a minimum either SQL or Python into LookML. The concept of being able to source control, code review, …
Less visually appealing. Feels like fewer pixels. Harder to make graphs and visuals. Really good integration with snowflake and intuitive usage for custom equations and filters.
sorta in the middle. One thing that differs than domo or power bi, is that those softwares bring in the data into the platform, instead of how sigma runs a query against our data warehouse each time a user interacts with the dashboard (there is some small caching, so not always)
Sigma is by far the best. It is easiest to learn and easiest to use on a day to day basis. I never have to wait for dashboards to load and it's very easy to understand the variables that are going into my visualizations. Best of all I can manipulate the data within Sigma …
flexibility, works really well with snowflake, export capability, level of support, the fact that Sigma Computing is a start up and improving so quickly. Web based software
We formally used Microsoft Power BI as our reporting software throughout our organization. I believe Tableau Cloud is a step above Power BI and is our preferred program. The end reports are look cleaner and are easier to work with than Power BI. There are more options and …
Tableau Cloud is ery powerful and user friendly with minimal cost when compared with other BI tools.Its robust features like switching toggles, supporting SQL queries for buiding charts and all stands out as the best.It reduces time in creating difficult and complex dashbords …
Tableau Cloud offers easier ways to make the content browsable by users. It also offers more flexible ways to set up self-service governance. Standard filtering functionalities are easier to use.
It seems more robust then the other platforms. There is a lot you can do from merging many different data sets together by joining them at like points, to creating visualizations of the data, or by showcasing some important data to any number of people within your organization. …
Tableau has a way easier Intuitive UI compare to Power BI or Amplitude. AMplitude is great since anyone could create their own dashboard, but building it it's a different thing.
When weighing the pros and cons of Tableau Online vs. SAP ERP, two key considerations emerged as clear winners. SAP ERP is a powerful data purification tool, but it doesn't measure up to the competition in terms of data presentation. When it came to data visualization and …
In my opinion, while Microsoft Power BI is a bit easier to build reports and dashboards with in part to its shared traits and connectivity with other Microsoft products, Tableau Online allows for a greater depth of customization, data sourcing, and most of all the sharing of …
Google Analytics is better for ad-hoc reporting but it's easier to create a uniform, standardized portfolio of reports in Tableau Online. We still use Google Analytics from time to time for quicker data requests.
In determining whether to go with Tableau Online versus Alteryx, two important factors stood out in determining our go-to solution. First, while Alteryx is an impressive tool for data cleansing, it did not stack up in terms of data visualization capabilities. Tableau, on the …
Compared to SPSS, the report visualization and output far exceeds what SPSS offers, as well as R. We typically find that while there is a bit of a steep learning curve to get the formulas and modelling correct, once done, it's easy to maintain and adjust as needed to …
Googles dashboard suite is very user-friendly and anyone can edit and make changes with very little knowledge or practice. But nothing I’ve worked with compares to the customization and multi streams of data in a user-friendly package like tableau does. It’s a really cool piece …
Prior to Tableau [Online], we were using complicated excel formulas and reports that were prone to break or were not easy to format. We used a few free tools before moving forward with Tableau. The free tools also had limitations but we found that the reports, ease of use …
We selected Tableau Online as it was more easy to integrate it with our SaaS platform and get going in no time. It is much more intuitive, easy, and quick to create dashboards using Tableau than other competitors. Also the pricing provided by Tableau to us was very competitive …
I do like to still use Google Analytics for certain things, because its faster to do it in Google Analytics rather than build the report I need in Tableau. While it's helpful, we just don't have the bandwidth as an organization to be able to create every report we would need on …
Tableau Online provides better data visualizations (especially when comparing out of the box visualizations that are available) than MS Power BI and historically we have connected more of our data sources to Tableau vs. other platforms like Google analytics.
Microsoft Dynamics is the only other product I have interacted with that is similar to Tableau Online. I receive reports from Microsoft Dynamics on a weekly basis. I receive really valuable statistics that help me realize how I am interacting through email. Dynamics send me …
[My selection was more determined] by the legacy files from the previous data scientists who build the dashboard with Tableau rather than I decided to choose Tableau from all other options.
Tableau provides more robust system to perform data analytics as compared to the alternatives like Power BI and Qlik. Moreover, Tableaus is super simple to use and is very reliable in terms of its connection with databases. The ability to manipulate data is another big reason …
We used to use an internal tracking platform, and it wasn't nearly as reliable or accurate as Tableau Online. Tableau Online has way more functionality and is able to report on so many more metrics that our old platform was unable to.
There are lots of excellent products are available in market for data analysis like SAP BusinessObjects, IBM Cognos, Microstrategy Analytics, Microsoft Power BI, etc. I found other products are specific to their tools like SAP BusinessObjects suits great with SAP Products …
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
If you're using Tableau as the primary BI tool, then Tableau Cloud is well suited to publish and share the results with a wide(r) audience. It is well suited for various degrees of self-service proficiency, from pure consumers of analytical work to more advanced users who can use web editing for smaller or larger adjustments, and even for desktop power users who will publish their work to Tableau Cloud. It has many good ways to organize the content and make it easily accessible via search, favorites, folders, collections ("playlists for your data"), or history ("recents"). It might not be ideally suited if there are many on-prem sources to be used (even though there are options to connect them) or if you have very special requirements regarding custom server setup, which is limited in a shared cloud environment like Tableau Cloud.
Tableau Online is completely cloud based and that's why the reports and dashboards are accessible even on the go. One doesn't always need to access the office laptop to access the reports.
The visualizations are interactive and one can quickly change the level at which they want to view the information. For example, one person might be more interested in looking at the country level performances rather than client level. This is intuitive and one doesn't need to create multiple reports for the same.
The feature to ask questions in plain vanilla English language is great and helpful. For quick adhoc fact checks one can simply type what they are looking for and the Natural Language Programming algorithms under the hood parse the query, interpret it and then fetch the results accordingly in a visual form.
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
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.
From an end user perspective Tableau Online is overall very easy to navigate once you get used to it, my only complaint is that when expanding or contracting a graph, the "plus" and "minus" on the bottom left is sometimes hidden, and should always be visible. From a builder perspective, it can take some getting used to but the sheer depth of customization makes it all worthwhile.
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.
I have no had a lot of experience with the support team, but I know that it’s hardly necessary for the end-user to contact. Usually, the main questions I get are on how to read a certain dashboard or how to navigate to a certain place. Overall, the simplicity of the software is what helps out with less need for support.
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.
When weighing the pros and cons of Tableau Online vs. SAP ERP, two key considerations emerged as clear winners. SAP ERP is a powerful data purification tool, but it doesn't measure up to the competition in terms of data presentation. When it came to data visualization and analytics, Tableau was our go-to tool. The price is the second consideration. Tableau, on the other hand, was the more cost-effective option for our requirements.
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.
No need to hire a team of developers to deliver our product, a huge cost savings for a start up company.
The ability to work off data extracts allows us to "set in and forget it" so to speak, which allows our customers to use the system during business hours with almost no cost in terms of database usage.
It has been a great internal tool for dashboarding company metrics and helping us track goals and implement solutions to meet those goals through efficient data analysis.