Spotfire Ideas Portal
Spotfire 14.7 continues our commitment to making analytics faster, clearer, and more powerful across the entire platform. This release strengthens the visualization experience, expands developer extensibility, and simplifies enterprise governance. Whether you're exploring data, building custom visuals, preparing applications, or managing deployments, Spotfire 14.7 delivers smarter workflows, clearer insights, and a more seamless product experience.
Spotfire Analytics 14.7 delivers a more intuitive and dynamic analytic experience with enhanced visualizations, improved authoring workflows, and on-demand learning to help users work faster and discover insights more easily.
Spotfire analyticsSpotfire data science
Box plots in Spotfire can now display all underlying data points as markers, overlaid directly on the statistical summary. This is especially beneficial for domains such as manufaturing, life sciences, and quality engineerin where distributions matters as much as aggregates.
What you can do:
Enable the display of individual markers for all data points in a box plot.
Interactively select a data point to filter, drill down, or investigate anomalies (e.g., wafers, samples, lots).
Adjust marker size and jitter to maintain clarity, even with large datasets.
Use this feature across trellised views to compare detailed distributions across groups.
Displaying raw data alongside statistical summaries is important to scientific research, regulatory submissions, and process analytics. It improves trust, reveals the true shape of distributions, and enables immediate detection of outliers or multimodal behavior without needing separate charts or external tools.
Spotfire analyticsSpotfire data science
Spotfire supports vertical orientation for line charts and combination charts, enabling a natural and industry-aligned way to visualize data where depth, height, or elevation is the primary dimension. You can now put the independent variable on the vertical axis, unlocking new analytical workflows across energy, geology, manufacturing, life sciences, and engineering.
What you can do:
Display depth or height along the vertical axis with one or more measurements curves plotted horizontally.
Use all existing line chart capabilities: categorized splits, multiple Y-scales, reference elements, line styles, step lines, missing value compensation, and markers.
Visualize well logs, core samples, drilling data, atmospheric profiles, or vertical process measurements in their natural orientation.
Fill areas between curves or between curves and axes using reference elements to highlight reservoir intervals, specification bands, or value thresholds.
Vertical orientation provides a logical and domain-correct way to view vertically structured data, improving readability, reducing cognitive effort, and aligning visualizations with industry-standard practices.
Spotfire analyticsSpotfire data science
Spotfire 14.7 continues to advance the new visualization authoring experience, delivering enhancements that make visualization setup more flexible, efficient, and intuitive. This release expands configuration capabilities for map charts, improves time series handling, and strengthens the overall authoring workflows across both the web client and the installed client.
Notable improvements in this release include:
Image layer property card for map charts: Add, edit, and manage image layers with a more intuitive workflow.
Seamless switch between properties experience: Ability to switch back and forth between the new contextual properties and classic properties dialog.
Multiple fixes and improvements that refine usability, performance, and consistency across visualizations.
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 all visualization types. The panel only shows properties that are applied to the selected visualizations. Simply add more properties to enrich visualizations.
Searchable: Quickly search to find properties and settings to edit or add.
Efficient: Configure multiple selected visualizations simultaneously and reuse configurations across visualizations through drag and drop.
Scalable: The panel is designed for scale and will support the addition of more visualization capabilities in future releases.
The new visualization properties panel is available to all users to explore in both the web client and the install client. The classic properties dialog remains the default while the new experience evolves.
Learn how to work with the new visualization properties panel in Spotfire.
Spotfire analyticsSpotfire data science
Spotfire now lets you choose whether to use the contextual Visualization Properties panel or the classic Visualization Properties dialog as default experience when editing visualizations. Administrators can set the global default using the Default to contextual visualization properties panel preference, available in the Administration Manager under Application > Application Preferences. Authors can also select their personal default under Tools > Options > Visualizations > Visualization Properties, choosing between Default to dialog or Default to contextual panel.
No matter which default you choose, you can still access both interfaces at any time:
The contextual panel from View > Visualization properties panel
The dialog (or popover in the web client) from Visualizations > Visualization Properties > Open visualization properties dialog
NB: The former EnableVisualizationPropertiesPanel preference has been removed. Use the new default preference described above to control which properties experience opens by default."
Spotfire analyticsSpotfire data science
The Data in Analysis Flyout now provides faster access to column properties. When switching between visualization recommendations and the column details view, Spotfire will remember the last state that was used. This allows users to reopen the Data in Analysis flyout directly in the mode they rely on most - reducing clicks, speeding up navigation, and improving the workflow for users who frequently configure data properties.
Learn how to work with the new column properties workflow in Spotfire.
Spotfire analyticsSpotfire data science
The former Data Table Properties dialog has now been fully integrated into the Data Canvas, providing a single, modern interface for understanding and managing data.
Opening Data Table Properties from the Data menu now brings you to the Data Canvas, where you will find all previously available capabilities including the data tables overview (with row, column, memory usage statistics), data tables relations graph, data table properties, column properties, and a unified, streamlined interface for transformations and data lineage.
The new experience delivers a consistent, web-based UI across Spotfire web and desktop clients, avoids duplicated functionality, and make data management more transparent, visual, and discoverable.
Learn how to work with the new data table properties workflow in Spotfire.
Spotfire analyticsSpotfire data science
The dynamic welcome experience now goes beyond startup. The new Learn & Discover flyout gives you on-demand access to new features, demos, use cases, Spotfire events, and training resources - even while working on an analysis - so you can continuously learn, discover, and get more value from Spotfire.
Spotfire analyticsSpotfire data science
Spotfire introduces an enhanced prompting experience that gives users more control over how they create and manage prompts when access parameterized data sources in both the web and desktop clients.
Redesigned, intuitive interfaces for creating and managing prompts.
Full support for advanced prompting features - including multiple values, prompt groups, and optional prompts.
Consistent experience across all web-compatible connectors.
This update makes working with prompts clearer, more flexible, and fully aligned across the Spotfire clients.
Spotfire analyticsSpotfire data science
The DB2 connector has been modernized with a unified experience for creating and managing connections across both the web and desktop clients.
Single sign-on with OAuth 2.0 for secure, personalized access.
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, secure, and customizable way to connect to IBM DB2 data sources in Spotfire.
Spotfire analyticsSpotfire data science
Spotfire now includes a dedicated connector for Databricks, providing a more streamlined and flexible way to access Databricks data. The connector offers full parity with the Apache Spark SQL and use the same Databricks ODBC driver, while introducing important advantages:
Streamlined access tailored to the Databricks environment.
Browse and select data across catalogs and schemas within a single connection.
A future-ready foundation for upcoming Databricks-native capabilities that extend beyond generic Apache Spark SQL features.
Existing Databricks connections will continue to work. To use the new connector, users must replace their existing connection. Data connections created with the dedicated Databricks connector cannot be opened in Spotfire versions earlier than 14.6.1.
Spotfire analyticsSpotfire data science
Spotfire 14.7 introduces a major enhancement to the Visualization Mods framework with support for multiple data views within a single visualization, removing the longstanding limitation of one data view per visualization and unlocking a new level of flexibility for developers and end-users.
This update makes it possible to develop highly advanced, composite, and domain-specific visualizations that lets you work with and present data from multiple independent sources simultaneously. For example, you can create a combination chart by merging two or more different visualization types into one mod, or create a network chart that shows nodes and edges from separate data tables.
Each data view can easily be configured and connected to any data table in the analysis (including the data table used by other views), thereby bypassing the need for manual pre-processing steps like complex table joins.
Spotfire Data Science 14.7 improves analytical clarity and trust with reference elements leends, interactive tooltips, and new diagnostics for built-in data functions.
Spotfire data science
Reference Elements enable users to add data-driven benchmarks such as targets, control limits, and ranges directly to visualizations. In Spotfire 14.7, Reference Elements now automatically appear in visualization legends, making analytics applications self-explanatory and easier to interpret.
What you can do:
Display each reference line, band, box, or marker in the legend with a descriptive label.
Automatically generate legend entries for multiple reference layers within the same visualization.
Ensure visual consistency, with legend symbols matching the styling applied to each reference element.
Legend support makes analytics applications presentation-ready and easier to understand at a glance, especially when multiple reference layers are applied. Users can immediately see what each contextual element represents, improving clarity and trust in analytical outcomes.
Spotfire data science
Reference Elements add dynamic lines, bands, boxes, and markers to visualizations to represent limits, targets, and contextual thresholds. In Spotfire 14.7, these elements can now display tooltips, making them interactive and more informative.
What you can do:
Show calculated values, rule names, thresholds, timestamps, or other metadata when hovering over a reference element.
Define tooltip content using expressions or columns from the same data table or a related data table.
Automatically adapt tooltip content per group, color, category, or trellis panel to reflect the correct context.
Tooltips transform reference elements from static visual cues into interactive analytical components, helping users understand not just what the benchmark is, but why it exists and where it came from - without adding visual clutter.
Spotfire data science Add-on
A specialized KPI chart displaying the key parameters of overall equipment effectiveness (OEE) including Availability (uptime vs. downtime), Performance (production efficiency), Quality (good vs. defective), and the OEE (components multiplied together), all displayed as percentages, and with optional display of up to 4 arbitrary KPIs as plain text metrics.
Available as a Spotfire Data Science visualization add-on for Spotfire Data Science 14.6 LTS and later.
Spotfire data science
The 3D surface and line chart receives a substantial update, bringing clearer subsurface interpretation, easier well trajectory exploration, and more control over visual context for subsurface, geology, and well-planning workflows.
Key improvements includes:
Independent axis min/max, log scales, and reverse scales to precisely tune each axis for highly vairable geological depth ranges.
Axis zoom sliders in-visual to quickly focus on a region of interest.
Improved marker size scaling ensuring consistent readability across layouts.
Optional auto-range based on wells and trajectories, re-centing the view around scatter layers to avoid losing formation context.
New "Plan" layer type for geological horizons, boundary markers, and planning envelopes.
Surface lighting controls allowing fine-tuning color fidelity when using continuous gradients on formation surfaces.
Available soon as a Spotfire Data Science visualization add-on for Spotfire Data Science 14.6 LTS and layer.
Spotfire data science
Reliability and transparency of built-in data functions is enhanced by providing clearer, more actionable notifications about parameters inputs and processing results. Whether you're transforming coordinate systems, cleaning geometric data, or smoothing time series, Spotfire now surfaces issues early so you can trust your results and avoid silent errors.
Spotfire now automatically detects and communicates common data issues directly as notifications:
Geometry validation: Get warnings when geometry or coordinate-based data contains invalid, empty, or malformed values before and after transformation.
CRS transformation clarity: Receive an informational message when the source coordinate reference system (CRS) equals target CRS, helping you confirm settings and avoid unnecessary processing.
Smarter time-series smoothing: Spotfire alerts you if smoothing level has been auto-adjusted due to insufficient rows, ensuring full transparency in how the algorithm behaves with small datasets.
Diagnostic notifications help users detect data issues earlier in the workflow, understand how Spotfire interprets their parameters, build trust in analytic results, and reduce debugging time for common data preparation and transformation tasks.
Spotfire Enterprise 14.7 strengthens governance and operational simplicity with centralized mods re-signing to ensure consistent trust across environments.
Spotfire enterprise
Administrators can now use the command re-sign-mod to easily re-sign mods—whether stored in the library or as local .mod files—using a designated account, ensuring consistent trust across all environments.
This capability simplifies moving mods between environments such as development, testing, and production, without requiring complex certificate setups for cross-server trust configurations. It also centralizes signature management, eliminating the overhead of handling individual developer signatures that may become outdated, disabled, or removed.
Spotfire enterprise
Spotfire Enterprise now allows Information Services administrators to manage JDBC drivers directly from the web administration interface - without requiring access to the Spotfire Server.
Admins can deploy JDBC driver SPK packages to specific deployment areas and update drivers to the latest version without using command lines or the server configuration tool. This streamlined workflow reduces operational overhead and improves security by limiting the number of users who require direct server access.