Datorama vs Sigma Computing

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Our analysts compared Datorama vs Sigma Computing based on data from our 400+ point analysis of Business Intelligence Tools, user reviews and our own crowdsourced data from our free software selection platform.

Datorama Software Tool
Sigma Computing Software Tool

Product Basics

Datorama, a Salesforce business intelligence platform, helps businesses manage and analyze their data. It provides a unified view of data from various sources, including on-premises, cloud-based, and third-party platforms. Datorama is ideal for businesses seeking to enhance their data management and analytics capabilities, particularly those interested in leveraging predictive analytics for improved decision-making.

Key benefits include a comprehensive view of data sources, user-friendly dashboards and reports, predictive analytics functionalities, and integration with other business applications. Datorama's pricing is based on a per-user model, with annual costs starting at $1,000. User experiences suggest that Datorama offers robust data management and analytics capabilities, but some users have noted a steeper learning curve compared to similar products.

***Disclaimer: Pricing and features may change over time. Please refer to the official Salesforce website or other reliable sources for the most up-to-date information.***

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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
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$3,000 Monthly
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$300 Monthly
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Tailored to your specific needs
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Product Assistance

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Product Insights

  • Single Cohesive Data Warehouse: Draws data from different sources and marketing channels into a single source. This dynamic landing zone applies machine-learning algorithms to the data in order to blend, clean, analyze and visualize it. 
  • Quick Insights: Automated insights take real-time data and generate quick, accurate visualizations to help users draw insights into their business data and trends. 
  • End-to-End Platform: From unstructured data source to intuitive visualization, this system does every step in a smooth interface to promote usability and an efficient workflow. 
  • Data Accessibility: Users of all technical abilities have access to their data via self-service BI. They no longer have to wait for analysis from a data scientist before they can start drawing insights from business data. 
  • Cross-Channel Visibility: Draws data from a variety of sources and blends them seamlessly to give users a smooth experience to explore data. Some of these channels include sales data, CRM data, social media, data warehouses and more. 
  • Actionable Insights: Analyze data to identify trends and patterns, and use it to make predictions, get better insight into business operations and glean actionable insights. 
  • Better Business Decisions: Decisions made based on general data are good, but decisions made based on historical proprietary data trends are much better. BI tools help users make data-driven business decisions and informed predictions, so they can always feel confident in their choices. 
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  • 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.
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  • Reports: Generate a variety of ad-hoc or custom report types to answer specific business questions. 
  • Dashboards: Intuitive dashboards make it easy to create, edit, explore and share data visualizations and reports. 
  • Data Modeling: This feature connects and blends data from a variety of sources into a single data warehouse that is easily accessible by users. 
  • API Library: An extensive library of marketing APIs allow users to access and make changes to their applications and data. These create an ad tech and martech ecosystem that lets users plug data from any connected source directly into a visualization. 
  • Data Integration: TotalConnect powers limitless integration through machine learning artificial intelligence. Cleans and structures data in addition to scheduling automated updates to ensure data is always up to date. 
  • Custom KPIs: Custom fields and classifications allow users to query the exact information they need rather than relying on out-of-the-box options. 
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  • 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.
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Product Ranking

#35

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#184

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User Sentiment Summary

Great User Sentiment 156 reviews
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85%
of users recommend this product

Datorama has a 'great' User Satisfaction Rating of 85% when considering 156 user reviews from 5 recognized software review sites.

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4.3 (89)
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4.36 (22)
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4.6 (16)
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4.6 (9)
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3.5 (20)
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Synopsis of User Ratings and Reviews

Dashboard: It offers a flexible and highly customizable dashboard, as noted by more than 89% of reviewers who mention dashboards.
Easy Integration: It integrates easily with multiple platforms, as observed by 75% of the users specifying integration.
Customer Support: It has responsive and receptive customer support, as stated by 75% of reviewers who refer to customer support.
Automated Reporting: All users that mentioned reports noted that it provides automated in-depth reporting functionality.
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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.
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Learning Curve: It has a steep learning curve for beginners, as stated by 100% of reviewers who referred to a learning curve.
Software Setup: Around 50% of the users who specify setup report that the software setup process is cumbersome.
Slow Performance: Platform performance can become slow sometimes, as observed by all the reviewers who spoke about performance.
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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.
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Datorama is an AI-powered marketing intelligence company that helps its users make smarter business decisions by connecting and working on their KPIs and marketing data. Its flexible and highly customizable dashboard can improve customer experiences, but slow performance can hinder productivity. It provides automated reporting and easy integration capabilities with multiple platforms. Many users have noted that the setup process is cumbersome, and it involves a steep learning curve for new users. Nevertheless, its receptive and responsive customer support has helped reviewers solve multiple issues.

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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.

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