Spotfire Ideas Portal
Spotfire 14.8 delivers meaningful enhancements across analytics, workflows, and industry capabilities, helping experts gain deeper insights, work more efficiently, and apply advanced methods directly within their everyday investigations.
This release introduces new built-in analytics, improved interaction and authoring experiences, and expanded domain-specific functionality designed to accelerate real-world analysis across industries.
This release introduces several enhancements that strengthen the core analytical workflows used across Spotfire. From AI-driven orchestration to improved visualization authoring and interaction workflows, these updates help users work faster and manage complex analysis tasks more efficiently.
Spotfire Enterprise
Spotfire Copilot 2.3 evolves from an interactive assistant into a more connected orchestration layer capable of coordinating multi-step analytical workflows across agents, models, and external systems.
Copilot can now connect to external agents and models, including Python-based workflows, enabling the invocation of specialized analytical capabilities directly from within Spotfire. These integrations allow Copilot to execute multi-step workflows, return intermediate and final results into Spotfire, and support validation through visual exploration and user review.
The user experience has been enhanced with improved context handling and built-in feedback controls. Users can provide direct feedback on Copilot responses and refine the analytical context more easily, helping improve the relevance and usability of AI-driven workflows.
Persistent sessions are introduced in this release, allowing conversations and analytical context to be maintained across sessions. Users can move between analyses or return later without losing their history, making longer-running investigative workflows easier to manage.
Together, these enhancements transform Spotfire Copilot into a more extensible orchestration layer that enables organizations, partners, and domain experts to integrate specialized intelligence and automate complex analytical workflows while maintaining transparency and control.
Learn more about Spotfire Copilot.
Spotfire AnalyticsSpotfire Industry Pro
Starting with Spotfire 14.8, the new visualization properties panel becomes the default visualization authoring experience across Spotfire. This applies to both the web client and the installed client for Windows.
This release marks an important step in the ongoing evolution of visualization authoring in Spotfire, moving to a more modern, contextual, and scalable approach to configuring visualizations. Over previous releases, users have been able to explore the new experience alongside the classic dialogs, provide feedback, and continue working without disruption. The new panel now fully replaces the classic properties in the web client and is now the default experience in the Windows client as well.
In the installed Windows client, users and administrators can still switch back to the classic properties dialog if preferred, keeping flexibility during the transition.
The new visualization properties panel makes visualization authoring easier, more efficient, and unifies the experience in the web client and the installed client. It is:
Easy to use: All properties follow a consistent design across visualization types. The panel only shows properties applied to the selected visualizations, while making it easy to add more to enrich visualizations.
Searchable: Quickly search to find properties and settings to edit or add, including advanced options that may not yet be applied.
Efficient: Configure multiple selected visualizations simultaneously and reuse configurations across visualizations through drag and drop.
Scalable: Designed to support future visualization capabilities and unlock features that are difficult to deliver through traditional dialog-based workflows.
Learn how to work with the new visualization properties panel in Spotfire.
Spotfire AnalyticsSpotfire Industry Pro
Spotfire 14.8 continues to advance the new visualization authoring experience, focusing on stability, usability, and performance as the panel becomes the default in the web client. This release delivers a broad set of refinements that further mature the experience across both the web client and the installed client.
Notable improvements in this release include:
Extended feature-by support for geographical hierarchies.
Enhanced map chart layers configuration for TMS and feature layers.
Refinements to color grouping, naming, and color rules.
Improved management by enabling expansion and collapse of all property cards.
More than 40 fixes and enhancements.
Learn how to work with the new visualization properties panel in Spotfire.
Spotfire AnalyticsSpotfire Industry Pro
Analyzing trellised visualizations often requires selecting all data points within a panel, for example reviewing multiple wafers in a lot, comparing units, batches, locations, or time slices. Previously, this required manually box-selecting large numbers of points, which could be error-prone and difficult to repeat consistently.
In Spotfire 14.8, you can now mark all data points in a trellis panel with a single click:
Click a trellis panel header to instantly mark all data points contained within that panel.
Use standard modifier keys (Ctrl/Cmd/Shift) to mark multiple panels at once.
As usual, marking immediately propagates to all linked visualizations.
The interaction works consistently across all visualization types that support trellising.
This capability significantly accelerates analysis workflows where users compare many dense panels side by side, such as wafer maps in semiconductor manufacturing, but also batch analysis, unit comparison, regional breakdowns, and other high-density trellised views across industries.
When working with trellised visualizations, users often need to review data group by group, for example examining all wafers in a single lot, all units in a batch, or all items belonging to the same category. Previously, trellis panels from different groups could appear mixed together in a single grid, forcing users to visually separate related panels.
In Spotfire 14.8, trellised panels can be paged by a grouping column:
A new page option is available in the Trellis-by layout.
Assign a column (such as Lot ID, batch, product, or category) to Pages to display only panels from one group per page.
Use familiar paging controls to move through groups.
Existing trellis configurations continue to work unchanged unless paging is explicitly enabled.
This capability is especially valuable for wafer-centric semiconductor workflows, where engineers routinely review complete lots and expect all wafers from the same lot to appear together. By paging trellis panels by lot, engineers can review lots sequentially, reduce visual clutter, and avoid misinterpretation during yield, defect, and process investigations.
More broadly, page-based trellis benefits any analysis where users review dense panel grids one logical group at a time such as batch analysis, unit comparison, product families, or segmented operational data across industries.
Spotfire AnalyticsSpotfire Industry Pro
In previous releases, access to column properties was consolidated into the data panel. However, the removal of the familiar Data > Column Properties menu entry reduced discoverability and made it harder to locate column details when upgrading.
In Spotfire 14.8 (and Spotfire 14.6.2), the Data > Column Properties menu entry has been reintroduced as a shortcut to the new workflow. Selecting Data > Column Properties opens the column details view in the data panel.
This change improves discoverability and reduces friction for users transitioning to the new column management experience, while keeping the modernized workflow intact.
Learn how to work with the new column properties workflow in Spotfire.
Working with columns often involves a tight loop of creating, reviewing, and refining calculated or derived columns. Previously, inserting new columns required leaving the data panel, interrupting this workflow and making column-related tasks feel fragmented compared to earlier experiences.
In Spotfire 14.8 (and Spotfire 14.6.2), you can now add calculated, binned, and hierarchy columns directly from the data panel, without leaving it.
This enhancement consolidates column-related tasks into a single, focused workspace, improving efficiency and reducing context switching, especially for users who frequently create and refine derived columns as part of their analysis.
Learn how to work with the new column properties workflow in Spotfire.
When working on wide datasets, analyses often rely on calculated and other inserted columns created during analysis. In earlier releases, these columns were not visually distinguishable from imported columns in the data panel, making it difficult to quickly find, edit, or understand the origin of columns.
In Spotfire 14.8 (and Spotfire 14.6.2), inserted columns are now clearly identified in the data panel column list, differentiated from imported columns. Users can immediately recognize which columns were created in Spotfire versus those coming from the data source.
This improvement restores essential clarity for users who work extensively with calculated columns, while reinforcing the new data panel workflow and reducing friction during the transition from the earlier column management experience.
Learn how to work with the new column properties workflow in Spotfire.
As analyses grow, column lists often include a mix of imported, calculated, binned, hierarchy, and other column types. Previously, users could not easily group or prioritize these columns in the data panel, making it difficult to quickly locate the columns they created during analysis.
In Spotfire 14.8, columns in the data panel can now be sorted by column type, making derived columns immediately findable, without having to switch to the data canvas.
This enhancement improves efficiency for users working with wide datasets, reinforces clarity in the new column management experience, and further reduces friction during the transition from earlier workflows.
Learn how to work with the new column properties workflow in Spotfire.
Spotfire AnalyticsSpotfire Industry Pro
A new visualization for analyzing and visualizing process flows in process mining scenarios.
The process map displays tasks and the dependencies between them, allowing users to explore how activities connect within a process. It is designed to support process mining workflows by making task sequences, transitions, and flow patterns visually accessible.
Available as a Spotfire visualization add-on for Spotfire Analytics and Spotfire Industry Pro 14.6 LTS and later
This release expands Spotfire’s industry and advanced analytics capabilities with new domain-specific tools, built-in statistical methods, and specialized visualizations. These enhancements enable engineers, scientists, and analysts to apply advanced techniques directly within their workflows and solve complex, industry-specific problems more efficiently.
Spotfire Industry Pro
Spotfire 14.8 introduces native access to Statistica algorithms used as data functions, making advanced statistical analysis and machine learning techniques available directly within Spotfire workflows. They allow users to apply sophisticated analytics as part of interactive, visual analysis, without leaving Spotfire or building external pipelines.
The initial set contains 23 Statistica algorithms across data preparation, statistics, machine learning, and time-series analytics:
Data transformation:
Box-Cox transformations
Machine learning:
Classification: boosted classification trees, random forest classification
Clustering: K-means clustering
Regression: boosted regression trees, random forest regression
Scoring and validation: classification and regression scoring, goodness-of-fit analysis
Feature selection: best predictors
Statistics:
Basic statistics: descriptive statistics, descriptive statistics by group, Pearson correlation, normality tests
Industrial statistics: quality control charts
Multivariate exploratory analysis: principal components analysis
Non-parametric statistics: Spearman, Gamma, and Kendall Tau correlations
Time-series analysis:
Auto and cross-correlation
Smoothing transformations
By integrating these Statistica techniques directly into Spotfire, analysts, data scientists, and domain experts can move seamlessly from data exploration to advanced analytics, apply robust industry-grade models on demand, and immediately visualize and validate results within the same analytical context.
Spotfire Industry Pro
A new reference layer type - Statistics layer - allows users to display calculated statistics directly on visualizations as overlays. These measures can represent any user-defined expression (such as count, mean, standard deviation, yield %, or custom KPIs) and can be placed either inline with the plotted data or at a user-defined location within the visualization. Statistics layers are fully styleable and context-aware, adapting to categories, colors, trellis panels, and data subsets just like other reference elements.
What you can do:
Add statistical values or expressions directly into visualizations as reference labels.
Dynamically calculate and display metrics per category, segment, or trellis panel.
Customize position, alignment, label size, padding, and formatting for presentation or analytical use.
Source values from the visualization's data or from related tables, including static or dynamic expressions.
By embedding metrics directly within the visualization, statistical layers make analytics applications self-explanatory, eliminating the need for separate summary tables or text areas. This ensures that key insights, such as averages, thresholds, or performance indicators, are immediately visible where decisions are made.
Spotfire Industry Pro
Reference elements now support category-by configuration even when the visualization uses a continuous x-axis such as time or numeric values. This enables the display of targets, thresholds, benchmarks, or control limits as reference lines, points, bands, and/or measures without requiring a categorical or binned x-axis.
What you can do:
Display different target lines or thresholds per product, region, asset, or business unit over a continuous time axis.
Monitor multiple machines, tools, or production lines with context-specific limits in a single visualization.
Visualize behavior over time while showing reference bands that adapt to selected categories.
Create dynamic zones such as capability zones (Cp/Cpk regions) using expression-based Reference Elements.
This enhancement removes previous modeling constraints and significantly increases analytical flexibility.
Spotfire INDUSTRY PRO Add-on
A new advanced timeline chart designed for operational planning and asset tracking scenarios. The visualization supports both resource-centric views (e.g., rig timelines keyed by rig) and task-centric views, enabling flexible analysis of schedules and operational activities.
In addition to the capabilities of the existing Gantt chart, the Task and Resource Timeline visualization adds resource and task switching modes, task dependencies, time scales down to seconds, dual-bound time range slider, trellising support, collapsible hierarchies, gridline control, and enhanced timeline configuration options.
Available as a Spotfire visualization add-on for Spotfire Industry Pro 14.6 LTS and later.
Spotfire INDUSTRY PRO Add-on
A new scientific chart used by geochemists and hydrogeologists to compare water ion concentrations.
Named after H.A. Stiff, the diagram displays cations (positively charged ions) on the left, and anions (negatively charged ions) on the right. The resulting polygon shape represents the ionic composition of a water sample. While individual shapes are not meaningful in isolation, comparing multiple samples using consistent scales enables rapid identification of water types and mineralization levels. Wide polygon shapes typically indicate mineralized or saline water, while narrow shapes represent fresher water.
The visualization supports standard ion configurations while allowing customization of plotted ions.
Available as a Spotfire visualization add-on for Spotfire Industry Pro 14.6 LTS and later.
Spotfire INDUSTRY PRO Add-on
A new action enabling geoscientists and petrophysicists to perform essential formation evaluation calculations directly within Spotfire, supporting three core petrophysical metrics - volume of shale, porosity, and total organic carbon (TOC) - allowing rapid interpretation of subsurface rock properties and identification of productive zones without leaving the analytics workflow.
Available as a Spotfire action add-on for Spotfire Industry Pro 14.6 LTS and later.
Spotfire INDUSTRY PRO Add-on
A new action for quick access to industry-standard well log layouts within Spotfire. It automatically generates multi-track well log displays commonly used in petrophysical analysis, intelligently detecting log curves and aplying appropriate formatting for LAS file data. This enables faster and more consistent subsurface interpretation workflows.
Available as a Spotfire action add-on for Spotfire Industry Pro 14.6 LTS and later.
Spotfire INDUSTRY PRO Add-on
A new action enabling engineers to visualize and assess directional drilling data directly within Spotfire. With a single actions, it automatically generates dedicated analysis page featuring coordinated 2D and 3D visualizations of well paths and geometry.
This integrated view helps drilling engineers, geologists, and petroleum engineers evaluate wellbore placement, assess trajectory quality, and compare actual versus planned wells efficiently.
Available as a Spotfire action add-on for Spotfire Industry Pro 14.6 LTS and later.
This release introduces several enhancements that strengthen enterprise governance, operational reliability, and system visibility. These updates help administrators manage large-scale deployments more effectively and operate analytical environments with greater confidence.
Spotfire Enterprise
Spotfire Copilot introduces a centralized Observability Hub that provides administrators with greater visibility into how AI-driven workflows are used and operated across the organization. This capability enables enterprise teams to monitor system behavior, troubleshoot issues, and ensure that Copilot usage aligns with governance and compliance requirements.
The Observability Hub provides centralized access to Copilot activity, including conversations, executed workflows, and data interactions. Administrators can review how users interact with Copilot and understand how analytical workflows are being executed across the system.
Administrators can monitor system behavior to identify issues, investigate unexpected results, and troubleshoot workflow execution. These capabilities improve operational reliability and help ensure that AI-driven workflows run consistently across enterprise environments.
The Observability Hub supports enterprise governance by enabling oversight of how data and AI workflows are used. This visibility helps organizations enforce internal policies and maintain compliance with regulatory and operational standards.
Automatic conversation summarization enables administrators to review Copilot usage patterns at scale. Instead of manually inspecting large volumes of logs, administrators can quickly understand activity trends, identify recurring patterns, and focus attention where needed.
Learn more about Spotfire Copilot.
Spotfire Enterprise
Administrators now have more precise control over data export capabilities in the Spotfire web client, addressing enterprise governance and data-access requirements. Two new licensed features are introduced to allow administrators to explicitly control how end users can export data:
Export data from data table: When disabled, users can no longer export data directly from underlying data tables. The Export Data dialog remains available for exporting data from visualizations, preserving common consumption workflows while preventing access to non-visible data.
Export data to library: When disabled, the File > Export > Data to library option is removed entirely. Exporting data to the Spotfire Library now requires both the existing Save to library feature and this new export-specific permission.
These controls enable customers to enforce consumption-only usage models in the web client, ensuring that users can export only the data explicitly intended to be shared, while maintaining compatibility with existing analyses and workflows.
Spotfire Enterprise
Administrators can define more granular and flexible recurrence rules when scheduling analysis preload and update jobs:
Schedule update at minute, hourly, daily, weekly, or monthly-based intervals (for example, every 15 minutes or every 2 weeks).
Restrict schedules to specific weekdays or month days, with configurable repeat patterns.
Define active time windows during which a scheduled job is allowed to run.
Configure updates to run at specific times of day or at fixed intervals.
These enhancements simplify job configuration, improve consistency and control, and help administrators better optimize system resources while ensuring analyses stay up to date and available.
Spotfire Enterprise
The Automation Services scheduler user interface has been aligned with the new Schedule Updates scheduler, providing a consistent scheduling experience, improving usability, and reducing friction when managing different types of jobs.
Spotfire Enterprise
Library search capabilities have been enhanced to support dependency-aware queries and precise discovery of relationships between assets across the Spotfire library. These improvements make it easier to locate where assets are used, understand dependencies between analyses and shared components, and perform impact analysis when updating library content.
Key enhancements include:
New hierarchy operators (ANCESTOR_OF, DESCENDANT_OF) to search relationships across library structures.
More precise search syntax, including prefixed item type labels (for example {{type::spotfire.sbdf}} in addition to {{type::sbdf}}) and standard Boolean precedence rules for consistent query behavior. Legacy behavior (equal precedence and right-associative AND/OR) can be restored using the configuration property library.search.legacy-boolean-algebra (default: false).
Improved reliability of nested dependency searches (DEPENDS_ON, REQUIRED_BY) when using Microsoft SQL Server or PostegreSQL databases.
Together, these enhancements improve governance and asset management by making it easier to understand how analytical assets are connected across the library.
This release introduces enhancements that expand Spotfire’s extensibility framework, enabling developers and partners to build more advanced and interactive visualizations. These improvements support more flexible customization and help accelerate the development of domain-specific visualizations.
Spotfire AnalyticsSpotfire Industry Pro
Spotfire 14.8 builds on the multiple data view foundation introduced in 14.7 by adding support for dynamically created data views in visualization Mods, enabling fully user-driven, multi-layered visualizations.
With this new feature, visualization Mods are no longer limited to a fixed set of pre-defined data views. Instead, developers can define layer types, and analysts can dynamically add, remove, and configure layers at runtime, each backed by its own independent data view and connected to any data table in the analysis.
This will unlock an entirely new class of interactive, composable visualizations where users control both what is shown and how many layers are used, with full support for data bindings, markings, and configuration options. Static and dynamic data views can also be combined within the same visualization, allowing developers to mix foundational layers with user-defined analytical overlays.
Spotfire AnalyticsSpotfire Industry Pro
Spotfire 14.8 introduces support for dependent data views in visualization mods, enabling the creation of advanced visualizations such as graphical tables with embedded charts, summary-and-detail views within a single visualization, and stable multi-layer composite visuals.
With dependent data views, visualization Mods developers can:
Declare one data view as dependent on another.
Retrieve detailed data scoped to a specific parent row or category.
Rely on the framework to automatically manage axis alignment and data scoping.
Build composite visuals that combine multiple aggregation levels without manual synchronization.
Framework-managed dependencies mean predictable behavior when visualization mods configurations change and less custom synchronization logic to build complex, and expressive visualizations.
Spotfire Industry Pro
Statistica 14.4 LTS introduces expanded parameterization and operationalization capabilities, enabling more interactive and reusable analytics workflows directly from Spotfire data functions.
Parameters are now exposed for additional workspace nodes, including Rules Builder, Query Spreasheets, and PMML Models, enabling greater control of workflow behavior from Spotfire.
The QC chart node has been optimized for improved execution when used through Spotfire.
Expanded PMML support enables operationalization of Partiel Least Squares (PLS) and Multiple Regression models.
Custom output naming defined in Statistica workflows now persists when executed in Spotfire.
These enhancements make Statistica workflows more flexible and reusable across datasets, allowing advanced analytics pipelines to function as interactive tools within Spotfire rather than fixed, one-time workflows.
This release includes updates that strengthen system compatibility, platform support, and security controls across Spotfire deployments. These enhancements help organizations maintain stable environments, adopt modern platform technologies, and protect analytical assets with confidence.
Spotfire AnalyticsSpotfire Industry Pro
The SAP HANA connector has been modernized with a unified experience for creating and managing connections across both the web and desktop clients.
Create and manage connections directly from the web.
Consistent, streamlined UI across web and desktop.
New custom connection properties for deeper control over performance and driver-specific behavior.
These updates provide a more flexible and customizable way to connect to SAP HANA data sources in Spotfire.
Spotfire Enterprise
Starting with Spotfire 14.8, Microsoft .NET 10 is supported for Spotfire Web Player and Spotfire Automation Services when running on supported Linux distributions (Debian, Ubuntu, Red Hat Enterprise Linux). .NET 10 is the latest Long-Term Support (LTS) release from Microsoft.
Customers running .NET-based extensions may need to recompile and validate their extensions against .NET 10. For more information about extension compatibility and validation, see the Spotfire Developer Documentation.
Support for .NET 10 will be added to Spotfire 14.6 LTS in a future service pack.
.NET 10 replaces .NET 8.
Spotfire Enterprise
Red Hat Enterprise Linux 10 (RHEL 10) is now supported as operating system.
PostgreSQL 18 and Microsoft SQL Server 2025 are now supported as Spotfire Server databases.
Microsoft SQL Server 2019 is no longer supported as a Spotfire Server database.
These updates ensure compatibility with the latest stable requirement versions, helping organizations align with IT standards and lifecycle policies.
Spotfire Enterprise
Spotfire Software Bill of Materials (SBOMs) are now available from the Spotfire downloads site, available on every product component release.
SBOM files list third party source software components, versions and licenses included within the Spotfire platform; available in the standard System Package Data Exchange (SPDX) format, a machine readable format for exchange of software license information.