Dataiku vs Spotfire

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Our analysts compared Dataiku vs Spotfire based on data from our 400+ point analysis of Big Data Analytics Tools, user reviews and our own crowdsourced data from our free software selection platform.

Product Basics

Dataiku is a powerful data analytics platform designed to empower organizations with data-driven insights and machine learning capabilities. It offers a comprehensive suite of features, including data integration, preparation, and advanced machine learning, all within a user-friendly interface. Dataiku facilitates collaboration among data professionals and business users, streamlining the data analytics process. Its AutoML capabilities simplify machine learning model development, making it accessible to users with varying levels of expertise. Real-time insights and scalability are key benefits, allowing organizations to make timely decisions and adapt to changing data requirements. Despite some learning curve challenges, Dataiku remains a favored choice for medium and large businesses seeking robust data analytics solutions.
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Spotfire is a software solution for business reporting and analytics. Ranked third on our product directory, it shines for data science and streaming analytics. Dashboards are customizable and interactive. Automation services help create and deliver reports on schedule. You can download it on Windows and access it through other operating systems via workarounds.

Organizations across the board find Spotfire helpful, be it pharma companies or oil and gas suppliers. Manufacturing and supply chain businesses also opt for it on account of its functions and formulas. Techniques like regression and what-if analysis support predictions. Reporting on inventory levels can help you anticipate and plan when to place the next order.

With a data tool, you expect to have data management built in, and Spotfire does an excellent job. It enables cleaning data from the user interface — inline data cleansing — and flags anomalies.

Geomapping is sometimes an afterthought in BI tools. Spotfire scores with excellent location analytics and companies with field machinery find it helpful. Plan maintenance by keeping tabs on machine performance and aging trends using Spotfire dashboards.

Spotfire has data management with anomaly detection and inline data cleansing. Geomapping is sometimes an afterthought in BI tools. Spotfire scores with excellent location analytics, which is why many companies with field machinery find it helpful.

Spotfire's robust calculations are due to TIBCO's runtime engine. Report templates are available, and you can create your own. Its Automation Services help manage routine reporting.

Users praise Spotfire for its connections with an active community that contributes additional connectors. They appreciate its visualizations and the freedom to customize data displays. The vendor provides exceptional support for mobile insights.

The latest edition, Spotfire X, has NLQ-powered searches, AI recommendations and model-based processing. A 30-day trial with 250 GB of storage is available. At $1,250 per year, a Spotfire Analyst license costs more than Tableau and Power BI, and users agree that pricing is steep.

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Product Assistance

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Product Insights

  • Advanced Data Preparation: Dataiku offers powerful data preparation tools, allowing users to clean, transform, and enrich data easily. This ensures that data is ready for analysis and modeling.
  • Collaborative Environment: Dataiku provides a collaborative workspace where data scientists, analysts, and business users can work together seamlessly, fostering cross-functional teamwork.
  • Scalable Machine Learning: With Dataiku, organizations can build, deploy, and monitor machine learning models at scale. This empowers data-driven decision-making across the enterprise.
  • AutoML Capabilities: Dataiku's AutoML functionality automates the model selection and hyperparameter tuning process, making it easier for users to create accurate machine learning models.
  • Visual Data Exploration: Users can visually explore data, gaining valuable insights through interactive charts and graphs, simplifying the process of uncovering trends and patterns.
  • Model Deployment: Dataiku streamlines the deployment of machine learning models into production, ensuring that insights generated from data are put into action efficiently.
  • Data Governance: Dataiku offers robust data governance features, including data lineage, access controls, and auditing, to maintain data quality and compliance.
  • Automated Reporting: Users can create automated reports and dashboards to share insights with stakeholders, saving time and ensuring data-driven decisions are accessible to all.
  • Flexible Integration: Dataiku seamlessly integrates with a variety of data sources and tools, making it adaptable to existing data ecosystems and technologies.
  • Interpretable AI: Dataiku places a strong emphasis on model explainability, helping users understand why AI models make specific predictions, enhancing trust and transparency.
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  • Make Informed Decisions: Ensure you don't miss any data when performing analysis. Spotfire connects to over 50 sources out of the box and provides many more, thanks to its active community. When a connector isn't available, you can rely on TIBCO’s data virtualization capabilities. Users appreciate its expertise in capturing streaming data, which many data tools have yet to catch up with. Our analysts awarded it top honors for source connectivity.
  • Gain Accurate Insight: Make decisions with confidence, knowing you have quality data in your corner. Organize data using metadata management and build workflows in a dedicated wizard. Or use freeform SQL query building with autocomplete. Spotfire scores a perfect 100 in our analyst rankings for seamless data preparation and management. It’s mainly due to inline data correction, which not many platforms support.
  • Visualize Insight: Achieve your weekly, monthly and yearly goals. Put your data to work with interactive dashboards and visualizations that come alive thanks to animations. Get suggestions on how datasets relate and visualizations that fit your analysis. And don't worry about it going stale — you can set it up to refresh on cue. Our analysts give Spotfire the top award for dashboarding and visualization.
  • Stay Mobile: Spotfire wins our analyst recommendation for responsive mobile insights on iOS and Android. You can favorite views and search for them later and swipe left and right between pages on your phone. Share your findings via email, SMS or other communication channels. Map visualizations are available on mobile — Spotfire will show you relevant data based on your location. QR code scanning is available. Spotfire gets a 100 score in our assessment.
  • Add Location Data: If your data includes location coordinates, Spotfire can directly plot these points on a map. If it contains city, state, or country names, Spotfire can convert them into locations on the map. Geographic searches, functions and calculations are available. Our analysts give Spotfire a 100 for its mapping features.
  • Automate Reports: Its automation services earn Spotfire another perfect 100 for reporting. Report scheduling and alerts are no longer optional; every organization that wants its teams to own their tasks wants automation. And Spotfire wins hands down with another perfect 100 in our analysis. Readymade reports templates are available, and you can build your own. Apply filters, drill down or perform calculations with ease. Report exports are possible in standard file formats, such as PDF, Excel and CSV.
  • Stay Competitive: Spotfire supports cohort analysis and decision trees. ML algorithms can extract features from text data for model training. Built for data science, it has capabilities for neural networks and deep learning. Spotfire gets 99 in our machine learning rankings.
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  • Data Integration: Dataiku offers seamless data integration capabilities, allowing users to connect to various data sources, import data, and prepare it for analysis.
  • Machine Learning Studio: Users can build, train, and deploy machine learning models in a user-friendly visual interface, streamlining the data science workflow.
  • Data Preparation: Dataiku provides robust data preparation tools, enabling users to clean, transform, and enrich data efficiently for analysis.
  • AutoML: The AutoML functionality automates model selection and hyperparameter tuning, simplifying the process of creating accurate machine learning models.
  • Collaboration Hub: Dataiku offers a collaborative environment where data scientists, analysts, and business users can work together on data projects.
  • Model Deployment: Users can easily deploy machine learning models into production, ensuring that insights generated from data are put into action.
  • Visual Data Exploration: Dataiku enables users to visually explore data through interactive charts and graphs, facilitating data discovery and insights.
  • Data Governance: The platform includes robust data governance features, such as data lineage, access controls, and auditing, ensuring data quality and compliance.
  • Automated Reporting: Users can create automated reports and dashboards to share insights with stakeholders, streamlining communication.
  • Scalability: Dataiku is designed to scale with an organization's data needs, making it suitable for both small teams and large enterprises.
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  • Spotfire Actions: Decide what to do with and act instantly — no need to switch to your procurement application to pause new orders. This powerful feature allows you to run scripts within analytics workflows. You can also trigger actions in your external system through visualization. Spotfire can set up over 200 commercial connections and has 1800 community connectors.
  • Mods: Build reusable workflows and visualization components, much like apps in Power BI and Qlik Sense. They allow your users to tailor their analytical processes so they don’t have to start from scratch every time. Based on code, they run in a sandbox with limited access to system resources for security. Users can share them through the Spotfire library. Mods improve efficiency and collaboration.
  • Batch Edits: Make similar changes to multiple files in one go. Write custom scripts to call the Spotfire API that’ll make changes to the files. Update the IronPython version to the latest one or embed the Spotfire JQueryUI library instead of its references.
  • Recurring Jobs: Simplify event scheduling to better manage your time and tasks. Improve efficiency and deliver reports at the same time on the same day of the week or month. The latest Spotfire version allows you to set recurring automation jobs to occur every X hours, days, weeks or months.
  • Web Player REST API: Share insight with clients and partners without them needing to sign up for a paid Spotfire account. Engage them via data visualizations on the web browser, thanks to Spotfire Web Player. Update analyses on the web with real-time data in the latest Spotfire version.
  • Roles: Invest wisely — opt for licenses that align with user roles. Choose Spotfire Analyst for data analysts, scientists and power users who need deep-dive analysis. Get the Business Author license for enterprise users, analysts and power users to create and consume insights without deep expertise. Choose consumer licenses for users who’ll interact with and consume data. They include the C-suite and non-technical users within the organization.
  • Information Designer: Prepare fully governed data sources for business users in a dedicated wizard. Set up their preferred data sources and define in advance how Spotfire will query and import data into storage. Specify which columns to load and which filters, joins and aggregations to apply.
  • Audio and Image Processing: Add user feedback from customer calls and videos. Interpret public sentiment about your product by analyzing social media pictures and videos. Spotfire enables writing code to extract text from audio and image files. You can then import the data into the platform for analysis.
  • IoT Analytics: Gain insight at lightning speed; build microservices and deploy them at the edge. With Spotfire, you can add IoT data to your regular data for the complete picture.
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Product Ranking

#26

among all
Big Data Analytics Tools

#9

among all
Big Data Analytics Tools

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Analyst Rating Summary

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Availability and Scalability
Data Management
Dashboarding and Data Visualization
Machine Learning
Augmented Analytics
Availability and Scalability
Dashboarding and Data Visualization
Data Management
Geospatial Visualizations and Analysis
Reporting

Analyst Ratings for Functional Requirements Customize This Data Customize This Data

Dataiku
Spotfire
+ Add Product + Add Product
Augmented Analytics Computer Vision And Internet Of Things (IoT) Dashboarding And Data Visualization Data Management Data Preparation Geospatial Visualizations And Analysis Machine Learning Mobile Capabilities Platform Capabilities Reporting 96 84 98 100 71 98 0 96 77 79 100 100 100 99 94 100 0 25 50 75 100
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Analyst Ratings for Technical Requirements Customize This Data Customize This Data

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86%
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User Sentiment Summary

Excellent User Sentiment 7 reviews
Great User Sentiment 1749 reviews
91%
of users recommend this product

Dataiku has a 'excellent' User Satisfaction Rating of 91% when considering 7 user reviews from 1 recognized software review sites.

86%
of users recommend this product

Spotfire has a 'great' User Satisfaction Rating of 86% when considering 1749 user reviews from 5 recognized software review sites.

n/a
4.3 (14)
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4.2 (315)
4.57 (7)
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4.4 (60)
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4.4 (539)
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4.3 (821)

Awards

SelectHub research analysts have evaluated Dataiku and concluded it earns best-in-class honors for Augmented Analytics. Dataiku stands above the rest by achieving an ‘Excellent’ rating as a User Favorite.

User Favorite Award
Augmented Analytics Award

SelectHub research analysts have evaluated Spotfire and concluded it earns best-in-class honors for Geospatial Visualizations and Analysis, Mobile Capabilities and Reporting.

Geospatial Visualizations and Analysis Award
Mobile Capabilities Award
Reporting Award

Synopsis of User Ratings and Reviews

Comprehensive Feature Set: Users appreciate Dataiku's wide range of features, from data preparation to advanced machine learning, enabling end-to-end data analytics.
Intuitive Interface: Dataiku's user-friendly interface receives praise for its ease of use, making it accessible to both data professionals and business users.
Effective Collaboration: Many users find Dataiku's collaborative environment conducive to teamwork, facilitating cross-functional collaboration on data projects.
Scalability: Dataiku's scalability is highly regarded, making it suitable for small teams and large enterprises, adapting to evolving data requirements.
AutoML Capabilities: Users value Dataiku's AutoML functionality, which simplifies machine learning, making it accessible to users with varying levels of expertise.
Real-Time Insights: Dataiku's ability to provide real-time insights is a significant benefit, enabling timely decision-making based on up-to-date data.
Data Governance: Dataiku's robust data governance features are highly regarded, helping maintain data quality and ensuring compliance with regulations.
Community and Support: Users appreciate the Dataiku community and support resources, which provide valuable assistance and guidance.
Integration Capabilities: Many users highlight Dataiku's seamless integration with other tools and systems, enhancing their data workflows.
Transparency and Explainability: Dataiku's focus on model transparency and explainability is praised, enhancing trust in machine learning models.
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Data Visualization: About 86% of reviewers were satisfied with the available options when designing dashboards.
Support: Around 74% of users praised vendor support for their timely response and helpful attitude.
Integration: Almost 72% of users were satisfied that it integrates with their preferred systems.
Friendly Interface: Around 68% of reviewers said the platform was easy to use.
Functionality: About 64% of users said it had a rich feature set.
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Steep Learning Curve: Some users find Dataiku's learning curve to be relatively steep, particularly for those new to data science and machine learning.
Resource Intensive: Running complex operations and large-scale data processing in Dataiku can be resource-intensive, potentially requiring substantial computing power.
Costly Licensing: The cost of Dataiku's licensing can be a concern for small organizations or startups with limited budgets.
Limited Free Version: The free community edition of Dataiku has limitations in terms of features and scalability, which may not meet the needs of larger enterprises.
Integration Challenges: Some users encounter challenges when integrating Dataiku with certain legacy systems or non-standard data sources, requiring additional effort and customization.
Dependency on Data Quality: The effectiveness of Dataiku's analysis and modeling heavily relies on the quality of input data, which can be a challenge if data is not well-maintained.
Customization Complexity: Highly customized data workflows may require a deeper understanding of the platform, potentially making customization more complex.
Real-Time Processing: Dataiku may not be the ideal choice for applications requiring real-time data processing, as it primarily focuses on batch processing.
Competitive Market: Dataiku operates in a competitive market with various alternatives, making it essential for users to evaluate if it aligns with their specific needs and budget.
Security Concerns: While Dataiku offers security features, organizations handling highly sensitive data may need additional security measures to meet compliance standards.
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Cost: Around 96% of the user reviews said it the price was high and licensing complex.
Adoption: 90% of reviewers said there was a significant learning curve and users would need specialized knowledge of data science and statistics.
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User reviews for Dataiku reveal a mixed sentiment, with notable strengths and weaknesses. Users appreciate Dataiku's comprehensive feature set, user-friendly interface, and its effectiveness in facilitating collaboration among diverse teams. Scalability is another advantage, making it suitable for various organizational sizes. AutoML capabilities and real-time insights are well-received for their accessibility and timeliness. However, several users express concerns about a steep learning curve, especially for newcomers to data science. The platform's resource-intensive nature can be challenging, and the cost of licensing may be a barrier for smaller organizations. Some users find limitations in the free community edition and face integration challenges with legacy systems or non-standard data sources. Data quality dependency and customization complexity are other reported cons. Dataiku is often compared to similar products in a competitive market, and users stress the importance of evaluating it against specific needs and budgets. Security-conscious organizations may need additional measures when handling sensitive data. Despite its limitations, Dataiku maintains a strong user base due to its robust feature set and collaborative capabilities, enabling data-driven decision-making in various industries.

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In online reviews, Spotfire emerges as a user-friendly big data platform. Most users found data exploration easy with a drag-and-drop interface. Some users said the UI was dated, though, and said it could use a revamp. Most users praised its interactive visualizations and dashboards, saying they helped them interpret data better. But, a few said they would love to have more visuals to choose from.A user mentioned they did the calculations in Excel and imported them into Spotfire for visualization. It's a common scenario when a steep learning curve slows down adoption, and teams fall back on Excel. Most users said Spotfire takes time to learn. You might have to opt for a balance of multiple platforms to balance your departmental and enterprise needs.Spotfire surpasses Excel in data management, especially data prep. Customizable visualizations and custom Mods give you enough freedom to work within the platform.Though 72% of reviewers were happy with the integrations, Spotfire lacks some standard connectors, such as for Apache Kafka, forcing users to rely on workarounds.A majority of users found its pricing structure complex, especially as users increased. In such cases, organizations often tend to opt for a cheaper alternative for less advanced use cases while using the pricier platform for the critical ones. We advise doing a deep dive into the vendor's pricing plans to avoid making your tech stack top-heavy.Ultimately, Spotfire's appeal lies in its balance. It's visually captivating and user-friendly for casual users while offering enough depth for seasoned analysts. However, its pricing and learning curve might deter organizations on a tight budget.

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