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 8.4 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.
Looker was the most customizable option for our business and cost wise made the most sense. They do have a free tier option that some of the other weren't offering to us at the time. Looker has a great- mobile app solution while tableau is a desktop-based platform. Tableau also …
The biggest advantage that Looker Studio has is that it's really easy to use and to distribute to other use. You can have a really complex report set up in a couple of minutes with an extract data source that enables Looker to update really fast.
Looker is less complex to use and links directly to google suite which we use across the business and personally think is a better user experience than microsoft.
We have not used any other products; we've only ever needed to use Looker Studio and didn't need to demo anything else because it provided everything we needed.
Looker stacks up well against other data providers for usability and friendly interfaces, plus the ability to customise. We actually integrate Looker with other analytics tools in the same sphere (power bi, dreamdata and others) so that we can have one comprehensive dashboard …
In my opinion, Looker is no Power BI. It is good, but I think Power BI is amazing. That said, in my experience, Power BI is nowhere near as easy to setup and report on Google services as Looker is. We plan to continue using Power BI for c-suite and corporate reporting, …
Looker is a free and easier analytics and dashboard tool. It provides enough data and features to get things done and analyze marketing data. The other tools have more advanced features and are more suited for other things besides marketing.
Tableau provides additional visual functionality and is great for more in-depth visuals or further data exploration, but it is costly and an extremely robust solution for simple data reporting. Looker can't be beat when it comes to integrating with other G-Suite tools. All in …
Looker is a lot less overwhelming and lets you take the data that you have in Google analytics to make it understandable, focused and specific to the audience that is viewing the content. I haven’t used any other tools, but feel because of the ease of accessibility and cost, …
I prefer agency analytics as it has a lot more agnostic integration options and is much speedier but does come at a cost. I would recommend this over Looker studio for sure. It has great templates to use too and allows for more customisation and racing benchmarks which is a …
We'll still use Semrush's reporting for some clients - depending on the metrics which are important for them and whether they have an interest in live reporting or simply monthly PDF reports.
If you company is using Google suite products, Looker is a no-brainer. Tableau is probably the most flexibly but as a result it has the least governance capabilities. Power BI is kind of old-school in terms of how it feels to use it. I think in general, Looker brings a lot of …
Better in terms of data configuration with slight harder learning curve, available help material is not that much and we usually have to connect with Looker Help with chat for our data and analysis questions. While Looker offers a wide range of visualization options, there were …
Looker Studio, you can easily report on data from various sources without programming. Looker Studio is available at no charge for creators and report viewers. Enterprise customers who upgrade to Looker Studio Pro will receive support and expanded administrative features, …
It takes forever sometimes to have data ready in tableau dashboard, and also it takes effort to maintain each dashboards. We do not have so many efforts to maintain all. Also, we need to be able to see data faster and therefore take actions and work faster. With Looker we might …
Looker gives you options to integrate external APIs with great ease. Our data analytics team is able to easily use multiple data sources as input to the Looker dashboard, and everything is consolidated in one single Dashboard. You also have an option for Shared folders to be …
I chose Looker because can incorporate multiple sources, mostly which are Google owned. The data can sync automatically, and the graphs are visually appealing.
Looker Studio is not as robust as Tableau or Microsoft BI. So it does not provide quite as much insight or depth and it has more limitations overall then the other major reporting products. However, it is also free and connects perfectly with other Google products. Plus, all of …
Technically, Power BI is much more complete and powerful, but it's like an ocean liner. I didn't need all that equipment. In my case, I needed to move more quickly, like on a speedboat, to build a page with several data sources in a single source of truth that could be easily …
Looker is a free tool to use on the basic level, which can't really compare apples to apples since all of the other services are paid services. Looker already has a leg up because of that. The other platforms definitely have more features and capabilities off the bat because it …
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
When data drives potential for new orders, Looker earns its place in our tech stack. If, on the other hand, we are hoping for pipeline generation, Looker is useful if you are willing to repeatedly go check customer utilizations .... it is not appropriate if you are hoping to automate data analysis for this purpose.
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.
We are very haooy with Looker, it provides us with all the funciomalities we need for both the day to day oerformance tracking and longer periods reporting. It is easy to use for account managers, configurable and customizable for soecialists and what is most imoortant, our clinets generally really love it
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 is relatively easy to use, even as it is set up. The customers for the front-end only have issues with the initial setup for looker ml creations. Other "looks" are relatively easy to set up, depending on the ETL and the data which is coming into Looker on a regular basis.
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.
Somehow resources heavy, both on server and client. I recommned at least 50Mbs data rate and high performance desktop comouter to be abke to run comolex tasks and configure larger amount of data. On the other hand, the client does not need to worry when viewing, the performance is usually ok
Never had to work with support for issues. Any questions we had, they would respond promptly and clearly. The one-time setup was easy, by reading documentation. If the feature is not supported, they will add a feature request. In this case, LDAP support was requested over OKTA. They are looking into it.
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.
In my opinion, Looker is no Power BI. It is good, but I think Power BI is amazing. That said, in my experience, Power BI is nowhere near as easy to setup and report on Google services as Looker is. We plan to continue using Power BI for c-suite and corporate reporting, especially for internal databases, but will gladly use Looker for our marketing information for AdWords, Analytics, Search Console, and YouTube.
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.
Other than some people not liking the numbers, I don't see any negative impacts; we haven't experienced that.
The reports help us unravel the story of our users and how they are sifting through our pages.
Our clients enjoy seeing the numbers to understand better what stands out on their sites.
The reports have helped us see what campaigns are working and where we need to tweak things.
The reports have enabled us to have better conversations with stakeholders about how their web pages should be modified, edited, etc., to reflect the data.
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.