ThoughtSpot vs Einstein Analytics

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Our analysts compared ThoughtSpot vs Einstein Analytics 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.

ThoughtSpot Software Tool
Einstein Analytics Software Tool

Product Basics

ThoughtSpot is a cloud-based business intelligence and analytics platform that empowers users of all skill levels to explore and analyze data through a search-driven interface. It leverages artificial intelligence and natural language processing to simplify data analysis, making it accessible to a wider audience. ThoughtSpot is particularly well-suited for organizations seeking to democratize data access and promote data-driven decision-making across various departments. Key benefits include ease of use, accessibility from any device, and the ability to connect to diverse data sources for real-time insights. Popular features encompass interactive dashboards, AI-powered insights, and natural language search capabilities.

In comparison to similar business intelligence tools, ThoughtSpot stands out for its user-friendly interface and emphasis on search-driven analytics. While some users find its pricing to be on the higher end of the spectrum, many appreciate the platform's ease of use and the value it delivers in terms of improved decision-making and operational efficiency. ThoughtSpot's pricing structure typically involves annual subscriptions based on the number of users and data volume.

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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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$75/User, Monthly
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Product Insights

  • Ease of Use: Make self-service analytics available to all via search-engine style natural language querying, intuitive and descriptive dashboards and visualization recommendations. Access data anywhere and everywhere through mobile support.
  • Data Security: Keep data safe from hacking and accidental leakage by restricting access via granular user privileges. Make onboarding easy by integrating with other single sign-on solutions and offering native support for company directories.
  • System Monitoring: Offer total visibility into the health of the system, including real-time and triggered alerts via pre-built administrative dashboards. Stay in the loop at all times by setting alerts on mobile devices or via email.
  • Collaboration: Easily share graphics, communicate about trends and discuss data models within the organization or with clients in real time via the one-click sharing feature.
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  • 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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  • Data Connectors: Draw data from a range of data sources via native connectors or by leveraging an existing ETL solution. Load large datasets at speeds of up to 1 terabyte per hour.
  • Embeddability: Deploy as a stand-alone platform or embed into other business software applications, such as CRMs or ERPs. Draw data and interact with it without switching interfaces to a separate login page.
  • Distributed Cluster Manager: Optimize workload distribution and scale it as the organization grows. Retain data and system usability at all times with built-in replication features, data redundancy assurances, as well as automated backups and node failovers.
  • Visualization Suggestions: Offers suggestions for best-fit visualizations based on data characteristics. Create intuitive graphics that help communicate patterns and draw insights.
  • Automatic Search Index: Indexes search history and data, then caches it for easier search performance. Provides search suggestions based on each character typed into the search feature.
  • In-Memory Engine: Performs all calculations in-engine. Assure query performance with built-in search result caches and retrieve results across various sources and records almost instantaneously. Organize data for efficient data exploration and retrieval.
  • Search Inspector: Explains how search terms are transformed into queries. Gain more transparency into the data exploration process.
  • Real-Time Calculations: Reduce the wait for insights; calculate answers in real time. Automatically joins, aggregates, filters and groups data into analytical results.
  • Drill-Down: Get a micro or macro view of data on an ad-hoc basis by drilling up or down across a data model without predefined drill paths.
  • Reusable Templates: Offers pre-built templates for data worksheets. Create and save a data model once, then recreate it for recurring reporting needs.
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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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Product Ranking

#17

among all
Business Intelligence Tools

#168

among all
Business Intelligence Tools

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User Sentiment Summary

Great User Sentiment 492 reviews
Great User Sentiment 1161 reviews
89%
of users recommend this product

ThoughtSpot has a 'great' User Satisfaction Rating of 89% when considering 492 user reviews from 6 recognized software review sites.

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.

4.2 (14)
n/a
4.3 (145)
4.2 (302)
4.0 (2)
n/a
4.0 (2)
4.3 (60)
4.6 (162)
4.3 (169)
4.4 (167)
4.1 (630)

Synopsis of User Ratings and Reviews

Data Analysis: Citing the power of AI-driven natural language searches, approximately 86% of users say that this platform enables efficient self-service data visualization and analysis for better insights into business data.
Data Integration: Around 77% of users who review data source connectivity say that the solution integrates well with databases and data warehouses, both on-premise and cloud-based.
Functionality: Approximately 80% of users say that they are satisfied with the platform’s capabilities for fast and accurate self-service data analysis to display actionable insights.
Ease of Use: Approximately 94% of users reviewing its ease of use say that this solution is user-friendly and intuitive.
Speed and Performance: Citing speed and efficiency in handling large amounts of data, 96% of users say that they are satisfied with the tool’s performance.
Service and Support: Around 87% of users who mention customer support say that they are responsive and knowledgeable, and that the vendor is receptive to user feedback on new features and improvements.
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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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Data Visualization: Around 61% of users reviewing this feature say that customization options for features such as fonts, layouts, colors and graphs are limited.
Training: Around 50% of users who mention training say that additional learning tools and best practices documentation would help in driving user onboarding and retention.
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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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ThoughtSpot is a powerful and reliable solution with the capability to deep-dive into data with an impressive level of granularity to perform business data analysis. With its AI-powered offering, SpotIQ, this platform enables easy data querying with intuitive drop-downs and suggestions to retrieve relevant business data for analysis and presentation. In addition, users can save and share their queries with other users with one simple click. In-memory data caching makes for faster data retrieval and creation of data visualizations on the fly, though some users feel that the platform should have more formatting options for better dashboard customization. With the capability to transform massive amounts of data sets into real-time analytics in seconds, this platform has a user-friendly interface that affords even non-technical users the autonomy to use data to discover anomalies and trends with minimal effort. Astutely recognizing the latency inherent in moving data between data sources and analytics platforms, the solution now offers direct querying into the in-cloud data warehouse Snowflake via its offering - Embrace. Users praise the pricing model of this tool since the cost incurred depends on the storage space consumed, not the number of users. The solution does have its limitations, though. Quite a few users say that implementing natural language processing (NLP) requires a lot of pre-work and that AI-powered searches can slow systems down. Data models have to be specifically tailored to the platform, which makes them inflexible for reuse. Though the tool is supported by all major browsers, users can face UI or performance issues with using it on Internet Explorer. As uploading Excel files is still the best way to push data into the platform, data import can be time consuming. Users feel that updated technical documentation and reporting tool tips for the dashboard UI could help shorten the learning curve. Deployment can be challenging for small businesses without IT support. Some users who reviewed it based on cost feel that this tool can be expensive for mid-level businesses. To summarize, businesses can leverage ThoughtSpot’s excellent AI-powered capabilities to share dynamic, real-time data analyses with employees and clients to drive effective decision-making within their organizations.

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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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