ThoughtSpot vs Dundas BI

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Our analysts compared ThoughtSpot vs Dundas BI 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
Dundas BI 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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Dundas BI is a self-service analytics solution with a keen focus on embeddability. With an eye on the end-user experience, the vendor provides options to design and embed dashboards into applications. Ranked five on our leaderboard, Dundas BI is a user favorite. The platform supports standard file formats and connects to cloud storage and enterprise systems.

Report templates and interactive visualizations make data accessible to all users. Some available graphics include bar and line graphs, scattergrams, pie charts, scorecards and maps. The system also suggests visualizations that fit the analyzed data.

Besides a long list of connectors, the platform has built-in ETL. You can switch from a data warehouse to live sources with the click of a button and write back to the warehouse from the interface.

The vendor, insightsoftware, offers it under the Logi Symphony umbrella, but Dundas BI remains a distinct product, and support is available. It supports multi-tenancy, and you can manage multiple clients with assured data security.

Roles include developers, power users and report consumers. The vendor provides shared concurrent licenses to keep pricing within reach. Unlimited data refreshes at no extra cost make it an attractive option.

Reviews praise its visual capabilities and ease of use, though most users say there’s a steep learning curve and performance can lag sometimes. Pricing starts from $2,500 monthly.

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$2,500 Monthly, Quote-based
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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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  • Gain Insight: Dundas BI wins our top honors for advanced analytics with a score of 92. You can write Python scripts within the platform and build clusters for customer segmentation. Forecast trends using regression and extract sentiment from buyer reviews.
  • Visualize Data: Dundas BI excels at dashboarding and visualization, earning our top award and a score of 100 in our JumpStart App. Its polished visuals embed perfectly into websites, apps and mobile devices. The vendor provides a lot of control over data displays. You can remove overwhelming menus and place navigation and selection options on dashboards. Animate icons to show data changes or display dashboards on a large screen in your office — the vendor has thought of it all. Though it can't compare with Qlik's associative power, Dundas BI remains an outstanding choice for professional dashboards.
  • Build Reports: Create paginated and pixel-perfect reports or design scorecards — the vendor offers many options to present data. Paginated reports have fixed page layouts for printed output, while pixel-perfect reports focus on precise design for a polished look. Version control lets you go back to the previous report and avoids the need to create local copies. The vendor’s focus on reporting UX and customization earns Dundas BI a top score of 100 in our rankings.
  • Manage Data: Define how datasets relate and apply joins during ETL. Explore new datasets without building a data model or generate data models with one click. Profile, correct and enrich data with simple selections. Analyze data from OLAP sources, such as Microsoft SSAS, Azure Analysis Services and Microsoft PowerPivot. Our analysts give it a 100 score for data management.
  • Embed Insight: Apply transformations, design dashboards and mashups, and analyze reports where you work. Embed the entire application or a screen into your business systems. Dundas BI is API-enabled and embeds without iframes. The vendor provides server and client APIs, SSO and authentication methods. It scores 100 in our rankings along with Power BI. But Power BI Embedded is priced separately from Premium and doesn't have the same customization levels.
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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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  • Data Visualization Sandbox: Create and test data visualizations before using them in dashboards. Experiment with different chart types, color schemes and data combinations without risk. It's an excellent learning tool for teams that want to start using data for decisions.
  • Pattern Identification: The Identify Clusters button is a tool within Dundas BI that examines your dataset. It helps you find patterns in your data by clicking a button rather than manually sorting it. The tool puts similar data into groups that can help spot trends or unusual patterns.
  • Small Multiples: They allow you to compare values on the same scale and axes but in separate charts and graphs. One example is comparing the prices of hotels on an aggregator site.
  • Mobile Insight: Collaborate with your teams through an HTML5 browser, whatever the device. Leave comments and annotations for colleagues on visualizations and share them as a PDF or link. Double-tap to zoom into views, and pinch in and out to see maps and charts.
  • Content Scheduling: Share content by setting a schedule or trigger. Dundas BI offers scheduled sharing via the notifications option. Select the content type from among Excel, CSV, PDF, PowerPoint and PNG formats. Choose from email or file delivery. More distribution methods are available if you install Dundas BI extensions.
  • Administrator Privileges: Create, edit and delete projects and configure security settings. Share projects among tenants and assign or revoke permissions as required. Set up and manage user accounts and view login history. Monitor system and warehouse performance and keep tabs on memory storage with application logs.
  • DundasScript: Do more with your data. Write custom formulas and expressions that aren’t possible with standard connectors or visualization tools. Apply conditional formatting and define how users should interact with visual elements, such as setting up drill downs and tooltips.
  • Contextual Views: View only the information that matters to your role. Dundas BI has a data connector override function that switches to a different data source or schema based on who’s viewing the content.
  • Architecture: Dundas BI has JavaScript, HTML and CSS on the back end with a patented in-memory engine. It’s a C#, Asp.NET application hosted on Microsoft IIS for Windows, systemd for Linux or a Docker or Kubernetes container. The platform is available in hosted and managed versions. Supported databases include Microsoft SQL or PostgreSQL. All screens, including dashboards and report designers, are built on a public API with JavaScript or a REST interface. It makes it easy to customize and embed. Tiers include the user, application and data layers. End users get a smooth user experience with drag-and-drop and select actions. It's open to plugins for adding new functions, formulas, controls, and security and tenant and export providers.
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Product Ranking

#17

among all
Business Intelligence Tools

#21

among all
Business Intelligence Tools

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User Sentiment Summary

Great User Sentiment 492 reviews
Great User Sentiment 467 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.

89%
of users recommend this product

Dundas BI has a 'great' User Satisfaction Rating of 89% when considering 467 user reviews from 5 recognized software review sites.

4.2 (14)
4.2 (14)
4.3 (145)
4.4 (137)
4.0 (2)
n/a
4.0 (2)
4.5 (122)
4.6 (162)
4.5 (118)
4.4 (167)
4.4 (76)

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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Cost: Around 88% of reviewers mentioning pricing said the platform offered value for money.
Data Analysis and Visualization: Around 86% of users reviewing dashboards said they helped in decision-making.
Service and Support: Almost 83% of users praised support services for being prompt and said they got the help they needed.
Functionality: Around 75% of users praised the solution's rich feature set for helping them accomplish their tasks.
Ease of Use: Around 72% of users citing user friendliness said they could use it without much difficulty.
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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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Training: Around 86% of users citing learning said there was a steep learning curve and documentation was inadequate.
Speed: Around 75% of users who reviewed performance said it lagged when handling large data volumes.
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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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Dundas BI is a web application that stands out for placing the buyer first with built-in ETL, shared licenses and unlimited refreshes. It surpasses market leaders like Power BI and Qlik Sense in native functionality. It’s feature-rich, with 77% of capabilities available out of the box.About 72% of users reviewing the interface praised the platform, whereas others felt it was confusing. An open API architecture might be one reason for the UI's clutter, but the vendor offers a way out. You can make onboarding easier by removing components that seem complex.Usually, reporting is a loose term for dashboards and static reports and not much else. However, the vendor packs these tools into a neat package at no extra cost. Dashboards are usually static, single-screen views, but Dundas allows embedding reports in them to complement your KPIs. The support team is responsive with clear SOPs and quick responses, and the documentation is detailed.On the downside, many users felt it slowed when handling heavy workloads. Performance is critical in business, but every data tool has accompanying tradeoffs, and sadly, it’s often speed. That said, keep in mind that many factors are at play here — the hardware, internet speed, data complexity and database efficiency. Consider them for your use cases when evaluating performance, as they significantly impact how a program responds to user interactions.Ultimately, it boils down to this — how much lag can you accept before it impacts your business? A proof-of-concept or, even better, a trial would be your best bet to assess how the platform fares.Due to its rich scripting options, the learning curve can be steep. Users felt the feature documentation should cover more information on Javascript and APIs. Most reviewers were satisfied with the pricing, saying it offers value for money.In summary, Dundas BI is a powerful tool if you need a high degree of customization, scalability and flexibility. It can handle complex data environments and supports many users concurrently. It would be a good fit for mid to large-sized enterprises as they have diverse data needs and are open to investing in training.Organizations with simple data requirements may find the tool a bit over the top and the cost excessive. In such a case, opting for a tool with basic functionality might be a good start. One non-negotiable would be frequent, stable updates. It'll ensure the tool grows with your business over time.

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