Sigma Computing Reviews & Pricing

by Sigma Computing | Founded 2014, San Francisco, CA

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What is Sigma Computing?

Industry Specialties: Serves all industries

Sigma Computing is an analytics solution that directly connects to cloud warehouses and delivers real-time insights that drive data-informed decision making. With a spreadsheet-like interface, it provides a familiar experience for business users and analysts to utilize formulas to analyze and visualize their data. Through a self-service model, users can explore their data and ask and answer questions for themselves. It streamlines complex data analysis processes and promotes teamwork throughout a business with a balance of collaboration and control.

It is entirely cloud-based and enables data access without the risk of extracting, moving and storing data. Suitable for companies of all sizes, this SaaS runs on Windows, Mac and Linux.

Pros

User-friendly interface
Affordable pricing
Scalable for business growth
Cloud-based accessibility
Responsive customer support

Cons

Limited data analysis features
Less powerful than competitors
Occasional performance issues
Restricted data storage capacity
Lower customization options

PRICE

COMPANY SIZE

DEPLOYMENT

PLATFORM

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#184

Sigma Computing is ranked #184 in the Business Intelligence Tools product directory based on the latest available data collected by SelectHub. Compare the leaders with our In-Depth Report.

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Sigma Computing Pricing

Based on our most recent analysis, Sigma Computing pricing starts at $300 (Monthly).

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Starting From: $300
Pricing Model: Monthly
Free Trial: Yes, Request for Free

Training Resources

Sigma Computing is supported with the following types of training:

Documentation
In Person
Live Online
Videos
Webinars

Support

The following support services are available for Sigma Computing:

Email
Phone
Chat
FAQ
Forum
Help Desk
Knowledge Base
Tickets
Training
24/7 Live Support

Sigma Computing Benefits and Insights

Why use Sigma Computing?

Key differentiators & advantages of Sigma Computing

Fast Integration: Without coding experience, users can securely and directly connect to data warehouses and get started without wasting valuable time on importing their data. Analysts can lay the foundation for the entire organization to succeed with data in hours, rather than days.
Ease of Use: Users work with a familiar spreadsheet-like interface and formulas to generate insights, no code required. The system automatically translates all the front-end actions input by users into SQL on the back-end.
Real-Time Access: Users can leverage the power of the cloud to query data directly where it lives, allowing for live analysis of massive datasets and insights in real time.
Keep Data Safe: Sigma never moves, stores, copies or caches users’ data, instead running queries against the data warehouses and passing the results back to the system, ensuring that data remains secure with robust data governance and platform security that exceeds industry standards. It complies with data privacy guidelines SOC 2 Type II, CSA, GDPR and CCPA.
Improve Collaboration: The system eliminates BI bottlenecks and inaccurate analyses by establishing a single, reusable and accessible source of truth for all users to query. Sigma transforms the data modeling process into a collaborative one; users can edit tables and create visualizations together, enabling better communication and decision making by forging a bridge between data teams and business users.
Self-Service BI: Users have the freedom to explore ad hoc analysis without waiting for IT teams to update models.
SQL Authoring: Users with SQL technical knowledge can create and edit reusable analyses to activate with one-click parsing.
Free Trial or Demo: Interested customers can try out the full platform for free for 14 days, or request a demo of the solution to try with their own data warehouse.

Industry Expertise

Sigma has years of experience providing BI for clients in various industries, including food and beverage, retail, the financial sector and broadcasting. The company also has partnerships with several notable cloud and data industry enterprises.

Synopsis of User Ratings and Reviews

Based on an aggregate of Sigma Computing reviews taken from the sources above, the following pros & cons have been curated by a SelectHub Market Analyst.

Pros

User-friendly interface: Sigma's intuitive design and drag-and-drop functionality make it easy for users with limited technical expertise to get started and create insightful reports.
Affordable pricing: Sigma offers a competitive pricing model with a free tier for individual users and small teams, making it accessible to businesses of all sizes.
Scalable for business growth: Sigma's cloud-based architecture scales seamlessly to accommodate growing data volumes and user bases, ensuring your BI solution can grow with your business.
Cloud-based accessibility: Access your data and insights from anywhere, anytime with Sigma's cloud-based platform, eliminating the need for on-premise infrastructure.
Responsive customer support: Sigma provides responsive and helpful customer support via email, phone, and live chat, ensuring you get the assistance you need when you need it.

Cons

Limited data analysis features: Compared to more robust BI solutions, Sigma offers a less extensive range of advanced data analysis capabilities.
Occasional performance issues: Some users have reported encountering occasional performance issues, such as slow loading times and data refreshes.
Restricted data storage capacity: Sigma's free and lower-tier plans offer limited data storage, requiring upgrades for larger datasets.
Lower customization options: While Sigma offers some customization options, its capabilities are not as extensive as other BI platforms.
Less powerful than competitors: Although Sigma excels in user-friendliness, it may lack the power and flexibility required for complex data analysis needs.

Researcher's Summary:

While Sigma Computing receives praise for its user-friendly interface and affordability, some users feel it lacks compared to similar BI tools like Tableau and Power BI. One user noted, "Sigma is great for beginners, but I quickly outgrew its capabilities. It just doesn't offer the depth of analysis I need." Another echoed this sentiment, stating, "The lack of advanced features was a dealbreaker for me. While Sigma is easy to use, it's not powerful enough for complex data analysis." However, others find Sigma's strengths outweigh its weaknesses. One user commented, "For the price, Sigma is a fantastic tool. It's simple to use and allows me to create insightful reports quickly and easily. I don't need all the bells and whistles offered by other platforms." Another user praised its scalability, saying, "Sigma has grown with my business. As my data volume increased, Sigma seamlessly scaled to accommodate my needs." One differentiating factor is Sigma's focus on real-time data and collaboration. One user highlighted this, saying, "Sigma's ability to work with real-time data is a game-changer. It allows me to make decisions based on the latest information, not outdated data." Another user noted the benefits of collaboration, stating, "Sigma's collaborative features make it easy to work with my team on data analysis. We can share insights and brainstorm ideas in real-time." Ultimately, the suitability of Sigma Computing depends on individual needs and priorities. If you're a small business or individual user who needs a basic, affordable BI tool, Sigma is a great option. However, if you require advanced data analysis capabilities or extensive customization options, you may be better served by a more powerful BI platform.

Key Features

Data Warehouse Connectivity: Sigma connects directly with many popular data warehouses, including Snowflake, Google Big Query, Amazon Redshift and PostgreSQL, or users may pull their data from other partners like Matillion, Fivetran, Alooma and Stitch to create their central source of truth by indexing all the tables in those sources.
Dataset Preparation: Sigma creates reusable datasets from individual or joined tables using one or more data sources. These Datasets can be edited either with a no-code worksheet-based interface, or with Sigma’s SQL Runner.
Links: Users can add context to their Datasets by setting up the relationships between datasets in a guided, contextualized way. Non-technical users can preview and create pre-model joins without needing knowledge of the join creation process. The system also pulls pre-existing relationships in databases upon connection with a data warehouse.
Data Visualization: Users can create assorted kinds of charts and graphs from their worksheets, including bar charts, line graphs, pie graphs, tables and more. These visualizations can be formatted in various ways.
Object Badges: Users can flag datasets and worksheets as Endorsed, Warning or Deprecated, guiding others to the most accurate and relevant data with a glance.
Shareable Workspaces: The platform has both individual and team workspaces, allowing for collaboration on data analysis. These workspaces can be shared externally, providing access to insights to partners or third parties who may benefit from them. The system also has an organization-wide workspace that everyone can search and explore through filters, descriptions and file names.
Role-Based Permissions: The system has tiered permission levels from highest to lowest for admins, authors and viewers, to allow different permissions and access settings on a role-by-role basis. Permissions may be granted on an individual or team level, allowing for organizations to add and remove users from access levels based on function, department or other categorization.
Data Security: In addition to role-based access control, the platform provides single-sign-on (SSO) and row-level security to ensure safe data analysis. The application has a secure infrastructure, with firewalls, credential and vulnerability checking, peer review, static code analysis, threat and anomaly detection and encryption in transit.
JSON Support: The visual interface enables business users to create views with JSON that unlock the value of semi-structured data. These strings of JSON can be stored, referenced and reused for analyses and visualizations across the ecosystem.
Third Party Integrations: The system integrates with Slack and Google Sheets for enhanced collaboration.

Approach to Common Challenges

Data Silos: Sigma's centralized data warehouse and data federation capabilities break down silos and provide a unified view of all relevant data.
Slow Insights: Sigma's in-memory analytics engine and pre-aggregation features deliver insights in real-time, enabling faster decision-making.
Limited Data Availability: Sigma's data governance and role-based access controls ensure secure and compliant access to data for relevant users.
Static Dashboards: Sigma's interactive dashboards and collaborative features allow for dynamic exploration and analysis, fostering deeper understanding.
Inefficient Collaboration: Sigma's collaborative editing and commenting features enable real-time teamwork and shared insights, optimizing workflows.
Scalability Concerns: Sigma's cloud-based architecture scales seamlessly to accommodate growing data volumes and user bases.
Complex Data Preparation: Sigma's data modeling tools and automated data cleansing functionalities streamline data preparation, reducing manual effort.
Limited Data Analysis Capabilities: Sigma's built-in functions and integration with Python libraries provide advanced analytics capabilities for deeper insights.
Lack of Visibility: Sigma's lineage tracking and audit trails offer transparency into data sources and transformations, ensuring trust and accountability.
High Costs: Sigma's cost-effective pricing model and efficient resource utilization make it a budget-friendly BI solution.

Cost of Ownership

Frequently asked questions regarding Sigma Computing pricing include:

Q: What are the different pricing tiers offered by Sigma Computing?
A: Sigma Computing offers a tiered pricing model based on the number of users and desired features. The "Starter" tier is free for individual users and small teams, while the "Professional" and "Enterprise" tiers offer more advanced features and accommodate larger user bases. Additionally, custom enterprise quotes are available for organizations with specific needs.
Q: How does Sigma Computing compare to other BI solutions in terms of cost?
A: Sigma Computing offers a competitive pricing model compared to other popular BI solutions. For example, a small team with 10 users would pay $240 per month for the "Professional" tier of Sigma Computing, which is significantly less than the equivalent plans offered by competitors like Tableau and Power BI. Additionally, Sigma's free "Starter" tier makes it an attractive option for individual users and small businesses.
Q: What are the hidden costs associated with using Sigma Computing?
A: While Sigma Computing offers transparent pricing with no hidden fees, there are some additional costs to consider. These may include data ingestion fees for large datasets, additional storage charges, and training and support services. However, Sigma provides clear information on these costs upfront, allowing users to budget accordingly. It's important to note that many of these costs can be minimized by optimizing data storage and utilization, and taking advantage of Sigma's comprehensive knowledge base and online resources.

Limitations

A dashboard is not accessible from another dashboard without a hyperlink.
Users cannot share documents without first moving them to shared folders. Documents can only be shared via emails or links that are accessible to people using Sigma.
Sigma does not have a native mobile app for Android and iOS.
Dashboards in Sigma are not responsive.
Access control is loosely governed, meaning granular access to specific tables or schemas is difficult to manage. Sharing a report in Sigma means granting implicit access to the source data.

Suite Support

Email: Users can email [email protected] to receive technical support.

Phone: It is not clear from the vendor’s website whether or not users can receive support via phone.

Training: Sigma Computing’s website has a page dedicated to demos and training on how to use the platform. In addition, the vendor has a Help Center that features a searchable database of documentation. This database assists users in getting started, provides tutorials on commonly used functionalities and has a function index through which users can explore the solution’s complete list of capabilities.

Tickets: Users can submit tickets by going to the Sigma Computing Help Center and logging in to Sigma Support.

FAQ

Frequently asked questions regarding Sigma Computing include:

Q: What types of data sources does Sigma Computing integrate with?
A: Sigma offers a wide range of data connectors, supporting popular cloud databases, SaaS applications, and on-premise systems. Examples include Salesforce, Google Analytics, Amazon Redshift, and Snowflake. Additionally, Sigma supports custom data connectors for unique data sources.
Q: What are the learning curve and required skills for using Sigma Computing?
A: Sigma boasts a user-friendly interface that allows business users with limited technical expertise to get started quickly. Its drag-and-drop functionality and intuitive design minimize the need for extensive coding. However, advanced features may require knowledge of SQL and data analysis concepts.
Q: How does Sigma Computing ensure data security and compliance?
A: Sigma prioritizes data security with features like role-based access controls, data encryption, and audit logs. It complies with industry standards like SOC 2 and GDPR, providing users with peace of mind regarding data privacy and security.
Q: Does Sigma Computing offer collaboration features?
A: Sigma empowers teams with real-time collaboration features like shared workspaces, collaborative editing, and commenting tools. This facilitates seamless teamwork, knowledge sharing, and joint analysis within the platform.
Q: How can Sigma Computing be customized to meet specific needs?
A: Sigma offers several customization options, including custom dashboards, data models, and branding. Additionally, its open API allows for integration with other tools and development of custom functionalities to cater to specific workflows and requirements.
Q: What resources are available for learning and support for Sigma Computing?
A: Sigma provides a comprehensive knowledge base, online tutorials, and video guides to help users get started and learn the platform's features. Additionally, Sigma offers responsive customer support via email, phone, and live chat for troubleshooting and assistance.