Sigma Computing Pricing & Features Overview - Subscribed.FYI
Marketing & Analytics

Sigma Computing

Sigma Computing is a cloud-based business intelligence platform for analyzing data with real-time collaboration. It's suited for business users, data teams, educators, and remote teams, integrating with cloud warehouses.

Overview

What is Sigma Computing?

Sigma Computing is a next-generation business intelligence and data exploration platform that offers a spreadsheet-like interface for all decision-makers to analyze up to billions of rows of live data with the unlimited scale and speed of the cloud. Sigma is backed by Sutter Hill Ventures, which has brought companies like Sumo Logic, Pure Storage, and Snowflake to IPO. Sigma connects to the cloud warehouse of the users, shows the selected tables in a spreadsheet form, allows for aggregation, filtering, sorting, and editing, and then provides the necessary tools to create visualizations.

Why Use Sigma Computing?

Sigma Computing stands out in the analytics landscape by:

  • Real-Time Collaboration: Sigma allows team members to collaborate in real-time, enabling seamless brainstorming sessions, idea generation, and visual planning regardless of geographical locations.
  • Versatile Digital Canvas: The digital canvas in Sigma is highly flexible, providing a space for freeform drawing, diagramming, mind mapping, and other visual thinking activities to capture and organize ideas.
  • Interactive Components: Sigma supports interactive components, turning static visuals into dynamic elements. This feature enhances the level of engagement and interactivity during collaborative sessions.
  • Integration with Cloud Data Warehouse: Sigma seamlessly integrates with cloud data warehouses, providing a secure and scalable platform for data exploration and analysis.

Who is Sigma Computing For?

Sigma Computing caters to a diverse range of users:

  • Business Users: Sigma is designed for business users who need to analyze and explore large datasets in real-time, providing them with a powerful and intuitive platform for data-driven decision-making.
  • Data Teams: Sigma is ideal for data teams who require a scalable and secure platform for data exploration and analysis, allowing them to work with massive datasets and provide insights to stakeholders.
  • Educators: Sigma can be used by educators to create interactive and engaging educational experiences, enabling students to explore and analyze data in a collaborative environment.
  • Remote Teams: Sigma is suitable for remote teams who need to collaborate on data analysis and visualization projects, providing them with a platform that supports real-time collaboration and data sharing.

Sigma Computing revolutionizes data exploration and business intelligence with its cloud-based platform, empowering users to analyze vast datasets in real-time. Its spreadsheet-like interface, combined with robust collaboration tools and integration capabilities, makes it an invaluable resource for business users, data teams, educators, and remote teams. By leveraging Sigma’s innovative features, organizations can drive data-driven decision-making, enhance productivity, and foster a collaborative environment that thrives on real-time insights and interactive data analysis.

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Pricing and Features

Product Tier
Pricing
Features

Platform

Pricing

On-Request

  • Speed, Scale, and Simplicity: Perform complex data analysis effortlessly with Sigma.
  • Connect & View Your Data: Easily connect to your data warehouse and visualize data with Sigma.
  • Explore & Analyze: Use a spreadsheet-like interface to delve into every detail of your data.
  • Collaborate with Others: Foster collaboration among team members for more insightful analysis.
  • Embed for Customers: Share insights with customers by embedding visualizations directly.
  • Administer & Govern: Maintain control and governance over your data analysis processes.
  • Cloud-scale Business Intelligence: Utilize cloud resources for efficient data analysis.
  • Supported Warehouses: Seamless integration with leading cloud data warehouses like Amazon Redshift, Databricks, and AlloyDB.
  • Cloud Platforms: Utilize Sigma on major cloud platforms like Google Cloud and Amazon Web Services.

Experience

Cancellation

Advancing Your Data Analysis: Concluding Your Use of Sigma Computing

As your needs for business intelligence and data exploration evolve or you explore alternative solutions, Sigma Computing provides a streamlined process to conclude your usage of their next-generation platform. To ensure a smooth transition and avoid any potential disruptions, please refer to this page.

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Product FAQ

What is Sigma Computing?

Sigma Computing is a cloud-native analytics platform that uses a familiar spreadsheet interface to give business users instant access to explore and get insights from their cloud data warehouse. It requires no code or special training to explore billions of rows, augment with new data, or perform “what if” analysis on all data in real-time.

How does Sigma's Embedded Analytics work?

Sigma’s Embedded Analytics allows you to seamlessly embed its powerful analytics capabilities in your customer-facing products, increasing your product’s stickiness and value-add by providing your customers with easy self-serve access to their data within your product.

What are the key benefits of using Sigma?

Sigma offers several key benefits, including a 70% reduction in ad hoc requests, a 5X increase in analytics adoption, and the ability to make decisions based on all your data. It also enables everyone, not just data experts, to use data and adapt to changes in the business quickly.

How does Sigma's AI feature work?

Sigma’s AI feature uses cutting-edge GPT-powered components to classify data, perform sentiment analysis, and more. This accelerates analysis and gets users to trusted answers faster using natural language.

Is Sigma secure?

Sigma is built for Enterprise-Grade Security & Governance, offering features such as row-level security and automated workflows to ensure secure and enterprise-ready analytics.

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