Looker is a BI application with an analytics-oriented application server that sits on top of relational data stores. It includes an end-user interface for exploring data, a reusable development paradigm for data discovery, and an API for supporting data in other systems.
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Sigma
Score 9.4 out of 10
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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.
I prefer Google Sheets, Looker, and Tableau over Sigma Computing. I was not involved in the purchasing decision but if it were up to me, we would use a different tool.
I was not involved in the decision-making process, and we stopped using chartio because it was discontinued. Chartio was great for looking under the hood at individual queries. Sigma is superior in the visualization aspects - it looks more professional and clean-cut. I've …
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, …
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 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 …
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
Google Data Studio is free, intuitive and easy to use but the analytics are limited. In-table calculations can't be done easily and it lacks a native connector for Snowflake. Moreover, table columns cannot be arranged in any order--they must be dimension first, and metrics …
Easy entry tool that can grow with you as the data expertise and literacy grows within the org. Start up effort and cost is too high in the tools that are built for large corporate solutions.
Sigma was chosen for three reasons. 1. Excel-like workflow. Many of our researchers have a background in excel, and the excel-like workflow Sigma offers enabled them to get up and running quickly. 2. Embeds. We can easily embed dashboards into our SAS platform 3. Price. Sigma …
Sigma has a good balance of affordability, self-service ability for technical teams, and ease of use. We chose it over the others basically based on ROI.
Sigma Computing was our top choice due to the ease of use of the platform for end users doing self-exploration of data. The structure of the platform for how datasets are created and access provisioned was much better than other products we considered. Sigma Computing may not …
Sigma is my least favorite BI tool I have used. Its unintuitive, takes longer to develop on, and has very limited functionality to re-use work (ie scripting, copying to a new project).
Sigma's combination of key features from each of these with native dB access under a UI that makes collaboration easy has made it an easy choice for us.