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Sigma Computing

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About Sigma Computing

Sigma Computing is a business intelligence software from Sigma Computing that provides AI-first enterprise intelligence. It offers live, generative AI-powered data experiences, supports collaboration between teams, data, and workflows, and includes features for creating spreadsheets, dashboards, and AI applications, so users can easily analyze and visualize data. Designed to unify various data sources, Sigma allows teams to gain insights through interactive reporting and real-time analytics. The platform's capabilities include intuitive data exploration - collaborative dashboards - comprehensive data modeling - reliable security features - integration with existing tools. Best for: data-driven teams that need to generate actionable insights from diverse datasets.

Sigma Computing Details

Vendor
Sigma Computing
Year Launched
2014
Location
116 New Montgomery St, San Francisco, California 94105, US
Deployment
cloud
Training Options
documentation, videos, live online, in person
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian, Dutch, Portuguese, Russian, Japanese, Chinese
Users
Business Analysts, Data Scientists, Data Engineers, Executives, IT Professionals, Business Managers
Industries Served
Healthcare, Education, Finance, Retail
Tags
Big Data, Business Intelligence, Business Performance Management, Dashboard, Data Analysis, Data Discovery, Data Governance, Data Visualization, KPI, Qualitative Data Analysis

Sigma Computing's In-App Market Place

Does Sigma Computing have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), AUD (A$), CAD (C$), JPY (¥), CNY (¥), INR (₹), CHF (CHF), HKD (HK$), SGD (S$), NZD (NZ$), KRW (₩), SEK (kr), NOK (kr), DKK (kr), ZAR (R), BRL (R$)

Pros & Cons

  • Ease of Use: User-friendly interface, especially for those familiar with spreadsheets.
  • Scalability: Handles large datasets and complex queries efficiently.
  • Collaboration: Real-time collaboration features for teams.
  • AI and ML Integration: Advanced analytics capabilities.
  • Data Applications: Build custom applications for specific needs.
  • Embedded Analytics: Integrate analytics into other applications.
  • Security and Governance: Robust security measures and data controls.
  • Python and SQL Support: Flexibility for advanced users.
  • Write-Back Functionality: Directly input data for context and automation.
  • Steep Learning Curve: While user-friendly, mastering advanced features may require time and effort.
  • Performance Issues: Some users report slow performance, especially with complex queries and large datasets.
  • Limited Dashboard Customization: Dashboard customization options may be limited compared to other BI tools.
  • Reliance on Data Refresh: Re-pulling data can be time-consuming, especially for frequent updates.
  • Complex Report Creation: Creating complex reports can be challenging for non-technical users.

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