Plotly Dash vs. Sigma Computing

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Plotly Dash
Score 8.0 out of 10
N/A
Plotly headquartered in Montreal creates data visualization and UI tools for ML, data science, engineering, and the sciences with language support for Python, R, Julia, and JS. Plotly's Dash aims to empower teams to build data science and ML apps that put Python, R, and Julia in the hands of business users. The vendor states that full stack apps that would typically require a front-end, backend, and dev ops team can be built and deployed in hours by data scientists with Dash.N/A
Sigma
Score 8.3 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
Plotly DashSigma Computing
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Plotly DashSigma
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
Plotly DashSigma Computing
Features
Plotly DashSigma Computing
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Plotly Dash
8.9
3 Ratings
6% above category average
Sigma Computing
-
Ratings
Connect to Multiple Data Sources8.43 Ratings00 Ratings
Extend Existing Data Sources9.33 Ratings00 Ratings
Automatic Data Format Detection8.43 Ratings00 Ratings
MDM Integration9.52 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Plotly Dash
9.0
4 Ratings
7% above category average
Sigma Computing
-
Ratings
Visualization9.04 Ratings00 Ratings
Interactive Data Analysis9.04 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Plotly Dash
6.2
2 Ratings
27% below category average
Sigma Computing
-
Ratings
Interactive Data Cleaning and Enrichment4.42 Ratings00 Ratings
Data Transformations8.52 Ratings00 Ratings
Data Encryption3.92 Ratings00 Ratings
Built-in Processors8.02 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Plotly Dash
8.4
2 Ratings
0% below category average
Sigma Computing
-
Ratings
Multiple Model Development Languages and Tools9.02 Ratings00 Ratings
Automated Machine Learning7.01 Ratings00 Ratings
Single platform for multiple model development9.02 Ratings00 Ratings
Self-Service Model Delivery8.52 Ratings00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Plotly Dash
9.7
2 Ratings
13% above category average
Sigma Computing
-
Ratings
Flexible Model Publishing Options9.52 Ratings00 Ratings
Security, Governance, and Cost Controls10.02 Ratings00 Ratings
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Plotly Dash
-
Ratings
Sigma Computing
7.9
163 Ratings
3% below category average
Pixel Perfect reports00 Ratings6.8104 Ratings
Customizable dashboards00 Ratings9.2161 Ratings
Report Formatting Templates00 Ratings7.8133 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Plotly Dash
-
Ratings
Sigma Computing
7.8
166 Ratings
3% below category average
Drill-down analysis00 Ratings8.5155 Ratings
Formatting capabilities00 Ratings7.3163 Ratings
Integration with R or other statistical packages00 Ratings7.35 Ratings
Report sharing and collaboration00 Ratings8.1162 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Plotly Dash
-
Ratings
Sigma Computing
8.0
156 Ratings
2% below category average
Publish to Web00 Ratings8.4103 Ratings
Publish to PDF00 Ratings7.9130 Ratings
Report Versioning00 Ratings7.7120 Ratings
Report Delivery Scheduling00 Ratings8.3132 Ratings
Delivery to Remote Servers00 Ratings7.668 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Plotly Dash
-
Ratings
Sigma Computing
6.8
149 Ratings
16% below category average
Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings8.5147 Ratings
Location Analytics / Geographic Visualization00 Ratings5.626 Ratings
Predictive Analytics00 Ratings6.218 Ratings
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Plotly DashSigma Computing
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Score 8.5 out of 10
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Score 8.8 out of 10
Medium-sized Companies
Posit
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Score 10.0 out of 10
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Score 10.0 out of 10
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Score 10.0 out of 10
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User Ratings
Plotly DashSigma Computing
Likelihood to Recommend
8.0
(4 ratings)
8.4
(170 ratings)
Likelihood to Renew
-
(0 ratings)
10.0
(6 ratings)
Usability
-
(0 ratings)
7.6
(48 ratings)
Availability
-
(0 ratings)
8.2
(2 ratings)
Performance
-
(0 ratings)
9.1
(2 ratings)
Support Rating
-
(0 ratings)
10.0
(47 ratings)
Implementation Rating
-
(0 ratings)
9.1
(2 ratings)
Configurability
-
(0 ratings)
7.3
(1 ratings)
Ease of integration
-
(0 ratings)
9.1
(1 ratings)
Product Scalability
-
(0 ratings)
8.2
(2 ratings)
Vendor post-sale
-
(0 ratings)
7.3
(1 ratings)
User Testimonials
Plotly DashSigma Computing
Likelihood to Recommend
Plotly
Applicable for data visualization across disciplines. I have used it for data from buildings, building occupancy, public health, and statistics. It is a useful tool to use for big data. It has nice templates and a number of interesting visualization types. If you are familiar with R and python it is easy to use.
Read full review
Sigma Computing
We were able to set up client-facing embedded reports with ease and security. The interface is not difficult to learn, although we may not be aware of or lack the necessary expertise to utilize more advanced features that would likely benefit us.
Read full review
Pros
Plotly
  • Powerful visualization options.
  • Ability to create in-browser interactive visualization apps.
  • Ability to create hosted apps.
  • Allows you to develop web-based reporting applications without requiring web application development expertise.
Read full review
Sigma Computing
  • 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.
Read full review
Cons
Plotly
  • Would be good if Dashboard Engine was included in the Enterprise VPC plan
  • Would love to see ready made fintech apps
Read full review
Sigma Computing
  • Sigma Computing does not allow custom ordering of pivot fields in pivot tables easily
  • Sigma Computing lacks functionality for creating tables or sections that dynamically adjust to the browser window's height while maintaining a fixed height textbox at the bottom
  • Sigma Computing does not provide straightforward options for formatting totals in tables, such as renaming 'Total' to 'Average', 'Team Total', etc
  • Sigma Computing does not support searching by individual tab names within a workbook
Read full review
Likelihood to Renew
Plotly
No answers on this topic
Sigma Computing
Sigma has helped us a lot and has become an integral part of our daily workflow. It would be difficult to switch to another platform and have to rebuild the numerous metrics and performance reports that we have already established
Read full review
Usability
Plotly
No answers on this topic
Sigma Computing
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
Plotly
No answers on this topic
Sigma Computing
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
Plotly
No answers on this topic
Sigma Computing
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
Plotly
No answers on this topic
Sigma Computing
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
Plotly
No answers on this topic
Sigma Computing
Was not involved in implementation
Read full review
Alternatives Considered
Plotly
Read full review
Sigma Computing
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, and deploy your models is a plus though.
Tableau is the gold standard for data visualization, no question. Power users will be able to create dazzling content that Sigma won't necessarily be able to easily match. However, since development usually happens via an extract, helping other users troubleshoot is an arduous process. Trying to re-do or un-do all the transformations and calculations that cause a certain number is very difficult.
With Sigma, all the queries happen directly against Snowflake and you can see the query logs. The data modeling happens right in a tabular, spreadsheet-like manner, so within only a few minutes, substantial transformations can happen, with visualizations just a few more clicks away.
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Scalability
Plotly
No answers on this topic
Sigma Computing
It is a cloud service offering that is able to expand based on your usage
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Return on Investment
Plotly
  • A no-cost option as it is open sourced.
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Sigma Computing
  • 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.
Read full review
ScreenShots