ThoughtSpot vs Orbit Analytics

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Our analysts compared ThoughtSpot vs Orbit 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

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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Orbit, which stands for Operational Reporting and Business Intelligence Technology, provides self-service advanced analytics to businesses for on-demand, data-driven decision-making. It pulls data from a wide range of sources, including Microsoft Excel, and enables high-performance data analysis through visualization and reporting. Connecting to more than 200 business applications, it ensures data integrity and security compliance across platforms.

Leveraging R for statistical computing, it empowers businesses to make accurate and timely business decisions.
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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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  • Improved Business Decisions: Drive innovation, boost efficiencies and increase revenue through better-informed business decisions. Identify opportunities and spot data trends by surfacing accurate and updated information. Analyze past insights to uncover previously undiscovered data relationships and define future strategy. 
  • Data Integration: Connects out-of-the-box to more than 200 applications like Oracle E-Business Suite, MS-Excel, PeopleSoft, Microsoft Office, Taleo, Salesforce and more. Breaks down data silos to aggregate information from a multitude of disparate data sources. Pulls data from cloud-based, on-premise and hybrid databases. 
  • Advanced Analytics: Forecast business trends by using what-if analyses, scenario modeling and decision trees. Discover patterns, relationships and outliers in data to make informed decisions. Pull data from disparate sources for multidimensional predictive analysis through crosstabs and other visualization types. 
  • Ad-Hoc Reporting: Get answers to data questions faster through its intelligent query generator. Gain in-depth, real-time data insights through easy drag-and-drop, filtering and slice-and-dice actions. Add visual context to reporting insights with geospatial data relationships and plan ahead. 
  • Tell Data Stories: Create visually compelling, interactive data visualizations from proprietary information, unifying disparate data sets into one single dashboard. Display complex information through simple visuals like charts, maps and graphs and easily digestible dashboard summaries. Share visualizations with others by embedding into business applications and exporting to PDFs. 
  • Cloud BI: Reduce the cost of ownership through a flexible cloud solution that combines enterprise-class analytics with an autonomous data warehouse. Integrates with existing on-premise and cloud-based data sources to deliver real-time reporting and analytics. 
  • Data Security: Secures data through built-in row and column-level access permissions based on roles. Automatically syncs with business applications and aligns with pre-existing security rules, account profiles and team member roles. 
  • Deploy Anywhere: Deploys on-premise, in the cloud and in hybrid solutions. 
  • Mobility: View and share mobile-optimized dashboards and reports on the go. Create custom reports, or build from more than 1,000 pre-built templates to share business insights with others. Click on dashboard objects like charts and graphs to drill down into proprietary data for deeper insight. 
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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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  • Reporting: Create reports from more than 1,000 pre-built reporting templates or build custom ones. Aggregate data from multiple sources and combine it into pixel-perfect reports. Create document templates within Word and Excel, and then add data and publish in Excel, HTML or PDF formats for sharing. 
  • Integrate with Excel: Upload data as Excel files to perform ad-hoc data analysis through easy drag-and-drop actions. Filter specific data fields or slice and dice to view pertinent business metrics. Or, pull live data directly into Excel from one or more business applications and run multiple reports at the same time. 
  • Data Modeling: Build models through associative querying and aggregation of multi-dimensional data through Star Schema and Snowflake queries. Get data insights from OLAP cubes and third-party data sources with customizable options for deeper analysis. 
  • Metadata Management: Customize, reuse, capture and publish data dimensions, hierarchies, performance metrics, KPIs and report layout parameters. Store key metadata objects separately from application databases, enabling faster retrieval, when needed. 
  • Integration with Python and R: Create analytical models from live data by using R and Python. The R Statistics and Python libraries are embedded within its BI server. 
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Product Ranking

#17

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Business Intelligence Tools

#373

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Business Intelligence Tools

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User Sentiment Summary

Great User Sentiment 492 reviews
Excellent User Sentiment 4 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.

95%
of users recommend this product

Orbit Analytics has a 'excellent' User Satisfaction Rating of 95% when considering 4 user reviews from 2 recognized software review sites.

4.2 (14)
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4.3 (145)
4.8 (3)
4.0 (2)
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4.0 (2)
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4.6 (162)
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4.4 (167)
4.5 (1)

Awards

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Orbit Analytics stands above the rest by achieving an ‘Excellent’ rating as a User Favorite.

User Favorite Award

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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Free to Use: Orbit is free for everyone to use, which makes it a great option for businesses of all sizes.
Easy to Set Up: Orbit is easy to set up and use, even for users who are not familiar with web analytics. Users have praised the platform for its intuitive design and straightforward implementation process.
Comprehensive Data: Orbit provides a comprehensive view of website traffic, including page views, unique visitors, bounce rate, and more. This data can be used to track website performance and identify areas for improvement.
Customizable Reports: Orbit allows users to create custom reports to track the specific metrics that are most important to them. This flexibility is highly valued by users who need tailored insights.
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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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Sampling Issues: For high-traffic websites, Orbit Analytics may extrapolate data based on a subset, leading to potential inaccuracies in metrics like bounce rate or session duration.
Limited Real-Time Reporting: Orbit Analytics doesn't offer truly real-time data updates, making it less suitable for situations demanding immediate insights, such as monitoring the impact of a flash sale.
Complex Interface: Some users find the interface overwhelming, especially those new to web analytics or accustomed to more user-friendly tools.
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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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Is Orbit Analytics the business intelligence software that will make your insights truly out of this world? Users praise Orbit Analytics for its user-friendly interface, making it easy for even non-techy folks to grasp. They also dig its robust reporting features, which help them whip up insightful reports that actually make sense. One user raved about how Orbit Analytics helped them wrangle a massive dataset into a clear and concise report that impressed higher-ups. However, some users find its predictive analytics capabilities a bit lacking compared to competitors like Tableau or Power BI. They wish it had more advanced forecasting tools to get a better handle on future trends. Overall, Orbit Analytics seems like a good fit for businesses who need a straightforward, user-friendly platform to analyze their data and create reports. If you're looking for cutting-edge predictive analytics, you might want to explore other options.

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