Looker Studio is a data visualization platform that transforms data into meaningful presentations and dashboards with customized reporting tools.
$9
per month per user per project
Sigma
Score 8.4 out of 10
N/A
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.
Looker Studio is great for free, simple Google-centric dashboards, while Power BI offers strong Microsoft integration, AI, and deep data prep (Power Query/DAX) for corporate users. Tableau excels in advanced visual exploration for complex data, though often much pricier. …
We have evaluated Power BI, Looker Studio, and Tableau for a short period. Looker Studio is easy to deploy and helpful for creating quick reports. However, for better performance, scale, and deeper analysis, we found Power BI.
A huge amount of backend data that you don't have access to via social media performance tracking platforms themselves. Opens the door to a better understanding of onward journeys from digital channels, and deeper knowledge of user behaviour and audience experience.
Looker Studio is easy to use and provides sufficient capabilities for setting up basic reporting. It's especially good for a marketing environment. We also use other tools for complex reporting, but when it comes to value for money, Looker Studio is one of the best BI tools on …
Very good imo, and really cost-effective. With Salesforce, there is too much stubbornness when importing data from Microsoft suite applications, and Power BI is really expensive for a mid-sized organisation. Hence, I feel Looker Studio is actually worth the investment for …
The main reason why Looker Studio was selected is because it was already integrated into the google ecosystem. But it actually once you start working with it, is really easy to get into. For really complex reports you will have to focus in building a good model in the database …
I liked Tableau, but it is a bit pricey, also there is no option to share the report online unless you add the team members. If your research is not really big and difficult, using Looker Studio is more practical and easy. I think it is very important to estimate how big and …
Looker Studio is far easier to implement, stand up, and learn. The interface is simpler and user-friendly for various levels of data visualization/analysis knowledge and experience. The biggest benefit of Looker Studio, however, is its ease of connection to GA data and speed. …
The free version of Looker Studio is still better than the leading enterprise-embedded BI tools, despite its weaknesses. The leading embedded BI platforms have terrible visualizations that can be spotted a mile away. They are also primarily locked to a grid, making it very hard …
Google Data Studio integrates data into visually appealing reports and can constantly update based on the linked data source (i.e., Google Analytics), a feature that neither of the platforms listed can do. However, sometimes Google Data Studio can't generate graphs based on my …
We selected Google Data Studio because it is easier to make connections with third-party data sources. Also Google Data Studio can understand connections between different tables and databases better that its competitors such as Power BI. Compared to Power BI you do not need to …
In comparison to Kibana , its much easier and being free its worth a lot. Apart from that it has flexibility of connecting to more than 300 connectors, which is not there in Kibana. Apart from that no doubt its much better that in terms of visualization of Data, analytics etc.
Data Studio is the
first step in your data visualization journey, as your data gets bigger and
your need for information grows you will have to move to something more powerful,
Google holds it's own against these competitors as they each have their own strengths and weaknesses. While Tableau provides user-interactive reporting, its formatting options can be quickly rigid and frustrating.
Google Data Studio provides a great feature set considering its price point, especially when compared to commercial options from Microsoft and Tableau. While it may not be as versatile when it comes to working with and developing complex datasets, there is enough charm in its …
Google Data Studio is a Google product and many other companies also use Google Suite (as Gmail), so it was easier to share reports to clients using it than Zoho Analytics (which needs a paid account to give access to any other user).
Google Analytics and Google Data studio work well with each other. They don't necessarily stack against each other, Google Data studio just makes interpreting the data more visual and concise. I recommend both and not one over the other. Both are free tools provided by Google, …
Google Data Studio is free, easily integrates with the Google Marketing Platform, and is simple to use. It's a better choice for most basic marketing reporting. Tableau is better for more BI and exploratory data analysis.
Obviously, Google Data Studio is an improvement over Google Charts, which I believe powers the chart modules used in Data Studio. I think of Data Studio as a convenient way to combine multiple Google Charts in one, easy-to-read report.
We are heavily within the Google ecosystem and therefore didn't really consider alternatives to Google Data Studio since it met our somewhat limited needs at the time of implementation. For outside presentations, we would probably lean towards something that allows us to more …
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
Fantastic for detailed data, especially for tracking user journeys from social media onto the website, for example. Great for use across multiple people in teams, even where only one or two people have a full understanding of the tool, as it is user-friendly once set up. Not hugely appropriate for presenting in and of itself, best as a source of raw data versus a tool to convey findings.
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
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.
It is the simplest and least expensive way for us to automate our reporting at this time. I like the ability to customize literally everything about each report, and the ability to send out reports automatically in emails. The only issue we have been having recently is a technical glitch in the automatic email report. Sadly, there is almost no support for this tool from Google, but is also free, so that is important to take into consideration
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
Looker Studio is easy to use, and it offers a sufficient variety of predefined visualizations to choose from. It's easy for us, and anyone can set up basic reporting without extensive data visualization skills. The interface layout is easy to understand, and it doesn't take long to get used to.
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.
I give it a lower support rating because it seems like our Dev team hasn't gotten the support they need to set up our database to connect. Seems like we hit a roadblock and the project got put on pause for dev. That sucks for me because it is harder to get the dev team to focus on it if they don't get the help they need to set it up.
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.
Looker Studio is great for free, simple Google-centric dashboards, while Power BI offers strong Microsoft integration, AI, and deep data prep (Power Query/DAX) for corporate users. Tableau excels in advanced visual exploration for complex data, though often much pricier. Fullstory is a different beast, focusing on user experience (UX) session replay for product teams, not traditional BI
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.
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.