ThoughtSpot vs KNIME

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Our analysts compared ThoughtSpot vs KNIME 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
KNIME 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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KNIME is an open-source end-to-end data analytics solution. It utilizes visual workflows with drag-and-drop functionality and thousands of nodes to lessen the data analytics learning curve data, with more than 1,800 prebuilt default workflows for streamlined setup.

It allows for data ingestion, preparing, cleansing, analyzing and visualizing. It can be scaled for deeper analytics through integrations with sophisticated data modeling capabilities. It can be hosted on-premise or in the cloud through Microsoft Azure.
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$95 Monthly
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$0 Open-Source
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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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  • Open-Source: Join a network of thousands of users, enabling collaboration and support. The source code is free to download and access.  
  • Free To Use: Save money by getting access to all of the platform’s features for free. Licensed productivity and collaboration extensions are available at a cost. 
  • Increased Business Intelligence: Get digestible, actionable data to make informed business decisions. Aggregating large datasets into predictive and prescriptive models via comprehensive visualizations and summary statistics gives users projections for the best course of action.  
  • Scalable: Obtain access to big data by scaling up the project in-platform. Integrations to distributed and multi-threaded data processing allow projects to grow. 
  • End-To-End Analytics:  It is capable of handling some tasks from start to finish without integrations. Additional integrations may be required for increasing scale and completing more sophisticated analytics. 
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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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  • Sharing and Collaboration: KNIME Hub is an online repository for existing workflows, nodes and extensions that can be easily installed into a user’s workflow. Upload workflows and search for the components needed for projects. 
  • In-database or Distributed Processing: Process data in-database or through a distributed cluster like Apache Spark for increasing scale. It has prebuilt workflows for in-database processing, like SQL Servers. 
  • Model Predictions and Validation: Using machine learning and AI, produce predictive and prescriptive models. Use performance metrics such as AUC and R2 to verify models.  
  • Visual Workflows: Using a drag-and-drop interface, compose a workflow with little to no coding. Prebuilt generic workflows and components can be downloaded from KNIME Hub. 
  • Data Management: Handles all steps of the extract, transform and load processes. It can ingest, blend, prepare, cleanse and store structured and unstructured data. It can combine data types, including PDF, JSON, CSV and unstructured types like documents and images. 
  • Data Visualizations: Compile analyses into reports with heat graphs, bar charts, scatter plots and more. Visualizations can be exported as PDFs, PowerPoints or other formats.  
  • Tool Blending: Tools with unique domains can be combined within a workflow via native nodes. These include Python or R scripting, processing connectors, machine learning and AI. 
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Product Ranking

#17

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Business Intelligence Tools

#89

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Business Intelligence Tools

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User Sentiment Summary

Great User Sentiment 492 reviews
Great User Sentiment 236 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

KNIME has a 'great' User Satisfaction Rating of 89% when considering 236 user reviews from 4 recognized software review sites.

4.2 (14)
n/a
4.3 (145)
4.3 (41)
4.0 (2)
n/a
4.0 (2)
4.6 (18)
4.6 (162)
4.6 (139)
4.4 (167)
3.9 (38)

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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Functionality: It provides a comprehensive set of nodes and functions to process large quantities of data, as noted by 69% of users who referred to functionality.
User Friendly: It is intuitive and easy to use, as noted by 79% of reviewers who refer to ease of use.
Connectivity: Around 77% of users who talked about connectivity mentioned its ability to seamlessly connect and integrate with multiple sources.
Cost: All users were happy that the solution is available free of charge, with no data limits.
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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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Performance: Nearly 95% of reviewers who mentioned performance said that the solution runs slowly and uses too much CPU and memory.
Visualization: Approximately 67% of users who specified visualization talked about its lack of proper visualization options.
Support: About 67% of users who reviewed support mentioned how hard it is to get proper documentation or support.
Learning Curve: KNIME has a steep learning curve, according to about 64% of users who mentioned the learning curve.
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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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KNIME is a robust open-source solution with cross-platform interoperability. It integrates with a range of software, such as JS, R, Python and Spark. With a variety of nodes and functions, it can process large datasets with a decent level of control in each step. Workflows are displayed as connected nodes, making it easy to isolate and fix specific steps. It also contains built-in tools to create and test supervised and unsupervised machine learning models. Users found the UI very intuitive and flexible. On the flip side, they found the tool visually lacking and primitive. The system also has performance and stability issues. Processing big data is very time consuming since the platform isn’t cloud-based. Users reported excessive memory usage as well. It also lacks reporting or monitoring features. Decent technical knowledge is required to fully leverage its capabilities.

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