Einstein Analytics vs Sigma Computing

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Our analysts compared Einstein Analytics 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.

Einstein Analytics Software Tool
Sigma Computing Software Tool

Product Basics

Einstein Analytics is a suite of analytics applications that use artificial intelligence to supply insights. With predictive, tailored analytics, it can build AI data visualizations and deliver recommendations to help companies accomplish their business goals. Developed by Salesforce, it integrates natively with their CRM to boost understanding of sales pipelines and customer satisfaction.

It offers three editions: Predictions, Analytics Growth and Analytics Plus. Until 2017, it was known as Salesforce Analytics Cloud or Wave.
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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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$75/User, Monthly
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Tailored to your specific needs
$300 Monthly
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Tailored to your specific needs
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Product Assistance

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Email
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Knowledge Base
24/7 Live Support
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24/7 Live Support

Product Insights

  • Predictive Analytics: Automatically generates models and precise recommendations based on insights gleaned from relevant data, with the power of artificial intelligence.
  • Achieve Faster ROI: Spend less time cleaning up data and more time selling products and converting leads.
  • Native Salesforce Integration: Connects seamlessly with Salesforce, supplementing the CRM platform with crucial BI.
  • Unify Your Systems: Bring all data onto one screen to get the complete picture with data connectors to any platform, including external systems.
  • Simplicity of Use: Create data visualizations that make sense with ready-to-use customizable templates that eliminate the need to have coding knowledge.
  • Free Trial: Sign up for a free 30-day trial on the vendor’s website.
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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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  • Role-Specific Analytics: Leverage its prebuilt templates and native apps designed to maximize insights with customizable best-practice KPIs in specific industries, including sales, customer service, financial advising, B2B marketing, fundraising and more.
  • Actionable AI: Build AI-powered applications and models that explore millions of data combinations and trends in minutes, even without knowing code. Generate predictions and what-if scenarios for the business. 
  • Self-Service BI: Customize the queries and looks of analytics applications to target the information needed for specific decisions. 
  • All-Around Insights: Gather all information in one place by connecting to any external data source, including AWS Redshift, Salesforce CRM, Microsoft Dynamics, Google BigQuery and more.  
  • Team Collaboration: Quickly share assets and take action together with colleagues with smart notifications, annotations, presentation mode, downloadable analytics, updates via email subscription and native integration with Salesforce Chatter.  
  • Mobile Ready: Download apps compatible with iOS and Android platforms that support many of the available analytics features.  
  • Continuous Upgrades: Avail new features and enhancements released by the Salesforce platform three times a year in winter, spring and summer.  
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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

#168

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#184

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User Sentiment Summary

Great User Sentiment 1161 reviews
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83%
of users recommend this product

Einstein Analytics has a 'great' User Satisfaction Rating of 83% when considering 1161 user reviews from 4 recognized software review sites.

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4.2 (302)
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4.3 (60)
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4.3 (169)
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4.1 (630)
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Synopsis of User Ratings and Reviews

Data Analysis: Citing its strong AI and machine learning features, all users who discussed the platform’s analytical capabilities said that it helps deliver business intelligence insights.
Data Visualization: Reviewing visualization capabilities, approximately 79% of users said that its clear and custom dashboards make business data easy to understand from a KPI point of view.
Data Integration: Around 76% of users who discussed data connectivity said that the platform connects easily to a wide range of data sources for advanced analytics.
Functionality: Reviewing functionality, around 65% of users said that, supported by regular updates that address user requests, the tool is feature-rich and stable.
Ease of Use: Discussing the interface, approximately 61% of users said the software is easy to use and aesthetically elegant.
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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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Cost: Citing per-user licensing plans and additional fees for on-premise installation, maintenance and add-ons, around 80% of users said that costs can quickly add up.
Performance: Around 78% of users who reviewed the solution for performance said that it is slow and prone to infrequent crashes, especially when uploading large amounts of data.
Setup: Approximately 67% of users who reviewed ease of deployment said that configuring the platform can be difficult if done without professional support.
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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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Einstein Analytics from Salesforce is a predictive analytics BI tool that uses the power of AI and machine learning to glean insights and create visualizations and reports to drive business decisions. All users who reviewed its analytics capabilities said that it excels at augmented analytics. Many users who reviewed data visualization said that templates and dashboards are easy to customize for deep-dive data exploration. With a range of reporting options and intuitive drag-and-drop functionality, the platform empowers business users to create their own reports without needing to code. Being part of the Salesforce suite, the platform integrates well with other SF offerings, as expected, as well as with external data sources. As for the tool’s data management capabilities, some users said that ETL functions are self-contained in that they replace the need to write code, however others said that data needs to be cleansed before the ETL engine can consume it for data analysis. Commenting on the software’s functionality, around 68% of users said that it is easy to drill down into KPIs with little training in analytics, whereas some users said that the platform is sparse in terms of features and does not have the same reporting capabilities as other Salesforce tools. Mentioning the interface, a majority of users said that it is clean and interactive, though quite a few users said that they preferred the classic version to the new one. A majority of the users who reviewed pricing said that, in addition to expensive per-user licenses, other costs can quickly add up, since implementation is not easy and often requires professional vendor support. Many users who discussed setup said that the platform struggles when processing large amounts of data, and plugins are needed to process heavier data sets, which further compounds costs. Quite a few users said that the platform performs well within the Salesforce ecosystem; however, it does not have the robustness and flexibility of Tableau. Overall, Einstein Analytics is a BI tool with strong out of the box ETL and data visualization capabilities that glean deeper insights into business metrics and seems to be suited for organizations with lightweight data analysis needs or those that already implement Salesforce solutions.

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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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