Redash vs. Sigma Computing

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Redash
Score 8.4 out of 10
N/A
Redash is a data visualization tool designed to allow users to connect and query any data sources, build dashboards to visualize data and share them with a company. Databricks acquired Redash in June 2020.N/A
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.N/A
Pricing
RedashSigma Computing
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
RedashSigma
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional DetailsContact us for pricing.
More Pricing Information
Community Pulse
RedashSigma Computing
Considered Both Products
Redash
Chose Redash
Redash has easy query access compared to Tableau, athena or google cloud services
Chose Redash
We wanted an easy and quick way to deliver and generate reports and wanted to have a good querying engine. We found Redash better and easier to operate with more features with the same cost point. One more thing is rendering and exporting PDFs from Redash was better than the …
Chose Redash
I selected Redash as it has a very easy-to-use SQL editor and is very fast to create dashboards. The main feature I like is you can publish your dashboards with just one click and share them among other people. Another thing is tool is open-source and you can self-host and save …
Sigma
Chose Sigma
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 …
Chose Sigma
Ease of use, access for teams, adhoc and iterative data analyses, from non-technical users, to experience data analysis teams.
Chose Sigma
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 …
Chose Sigma
Microsoft Power BI, Qlik Analytics Platform and Microsoft Excel
Chose Sigma
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 …
Chose Sigma
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 …
Chose Sigma
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.
Chose Sigma
We did not have any similar reporting system like Sigma.
Chose Sigma
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 …
Chose Sigma
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 …
Chose Sigma
Sigma is better than Tableau in my opinion because Sigma has the connection to live data, rather than stale csv files.
Chose Sigma
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, …
Chose Sigma
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 …
Chose Sigma
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 …
Chose Sigma
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, …
Chose Sigma
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.
Chose Sigma
2 biggest reasons for Sigma were easy of use for power users, and cost of having a large amount of viewers of the data.
Chose Sigma
Much more customizable than Looker Studio
Some features are way better than Cluvio. But Cluvio search bar was better.
Chose Sigma
I was not involved in the buying and decision-making process.
Chose Sigma
Not even a comparison, Sigma is a far superior BI and data visualization tool
Chose Sigma
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)
Chose Sigma
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 …
Chose 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
Features
RedashSigma Computing
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Redash
6.9
Ratings
16% below category average
Sigma Computing
7.5
Ratings
9% below category average
Pixel Perfect reports7.00 Ratings5.60 Ratings
Customizable dashboards7.80 Ratings9.30 Ratings
Report Formatting Templates5.80 Ratings7.70 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Redash
6.1
Ratings
25% below category average
Sigma Computing
7.6
Ratings
5% below category average
Drill-down analysis5.90 Ratings8.10 Ratings
Formatting capabilities7.80 Ratings7.10 Ratings
Integration with R or other statistical packages2.70 Ratings7.30 Ratings
Report sharing and collaboration8.00 Ratings7.70 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Redash
5.4
Ratings
41% below category average
Sigma Computing
7.6
Ratings
7% below category average
Publish to Web8.00 Ratings7.40 Ratings
Publish to PDF7.00 Ratings7.70 Ratings
Report Versioning5.50 Ratings7.10 Ratings
Report Delivery Scheduling2.60 Ratings7.70 Ratings
Delivery to Remote Servers3.90 Ratings7.90 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Redash
6.4
Ratings
19% below category average
Sigma Computing
6.8
Ratings
16% below category average
Pre-built visualization formats (heatmaps, scatter plots etc.)7.00 Ratings8.60 Ratings
Location Analytics / Geographic Visualization7.50 Ratings5.60 Ratings
Predictive Analytics4.20 Ratings6.20 Ratings
Pattern Recognition and Data Mining7.00 Ratings00 Ratings
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User Ratings
RedashSigma Computing
Likelihood to Recommend
8.8
(0 ratings)
8.3
(0 ratings)
Likelihood to Renew
-
(0 ratings)
10.0
(0 ratings)
Usability
-
(0 ratings)
7.6
(0 ratings)
Availability
-
(0 ratings)
8.2
(0 ratings)
Performance
-
(0 ratings)
9.1
(0 ratings)
Support Rating
-
(0 ratings)
10.0
(0 ratings)
Implementation Rating
-
(0 ratings)
9.1
(0 ratings)
Configurability
-
(0 ratings)
7.3
(0 ratings)
Ease of integration
-
(0 ratings)
9.1
(0 ratings)
Product Scalability
-
(0 ratings)
8.2
(0 ratings)
Vendor post-sale
-
(0 ratings)
7.3
(0 ratings)
User Testimonials
RedashSigma Computing
Likelihood to Recommend
Redash is good in following conditions: Amazing query editor with lots of auto-complete feature for SQLDoes not require hassle and provide an easy interface to connect to various DB Good integration points with various DB's Easy and Simple Dashboarding functionality It lacks in following areas: Dashboarding and Reporting feature is not that extensive [fewer] filters for Periodic filters as well scheduled reports
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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
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Pros
  • Detailed Reporting.
  • Real-time data.
  • Vast array of reporting.
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  • Allows end users to easily dive into the data without having direct access to the table in our database management software.
  • Can easily turnaround dashboards that are detailed and visually pleasing.
  • Sigma is intuitive and as new features are rolled out it is easy to adopt and incorporate them into new and existing dashboards.
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Cons
  • At times, the response time for the query takes more than a minute
  • Dashboard refreshes used to take time
  • Auto indentation was not there
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  • 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.
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Likelihood to Renew
No answers on this topic
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
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Usability
No answers on this topic
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.
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Reliability and Availability
No answers on this topic
Yes, as long as you don’t conduct user error sigma is always up and running and waiting for you to complete your dashboards
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Performance
No answers on this topic
It depends, it loads quickly for smaller dashboards but when loading larger amounts of data it takes more time to do so
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Support Rating
No answers on this topic
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.
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Implementation Rating
No answers on this topic
Was not involved in implementation
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Alternatives Considered
Redash has easy query access compared to Tableau, athena or google cloud services
Read full review
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.
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Scalability
No answers on this topic
It is a cloud service offering that is able to expand based on your usage
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Return on Investment
  • So as far as investment its just the time you need to give and done.
  • You can host Redash on your server and just pay as you go.
  • There isn't much investment but a lot of things will be solved around reporting and charting.
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  • 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.
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ScreenShots