Enjoy the convenience and efficiency of organizing and accessing frequently used items with ease.
Mark individual library items as favorites, including analysis files, folders, information links, data connections, data function, visualizations and more.
Access your favorite items quickly via the new “favorites” section from the library.
The new Spotfire Service for R enables the execution of data functions using the open-source R programming language.
With open source R, users can leverage the vast collection of R packages and libraries and benefit from the active open source R community, unlocking a wider range of statistical and data analysis techniques with more options and flexibility to address diverse analytical and data science tasks.
Python Data Functions execution speed has been significantly improved up to 60%, leading to more efficient workflows, better productivity, and faster insights.
Additionally, run-length encoding (RLE) compression is now also enabled for Python Data Functions, helping to improve the overall experience further by reducing data size, thereby reducing network latency.
When configuring Spotfire Action, users have now visibility into any existing row limitations directly in the Action configuration panel.
When an action is triggered, it can now be prevented from running if the number of rows is not within the limit range specified.
Additionally, an action that works on marked data can be disabled until some data is marked, guiding end-users to trigger the action in the right context.
The new Markings panel enables adding, editing and removing markings both in the installed client and the web client.
In addition, the panel includes the ability to quickly view the number of visualizations utilizing a specific marking or limited by a specific marking and allows to directly navigate to the relevant visualization.
The Data Canvas now provides a comprehensive way to view and manage all data tables, data tables’ properties, and column properties, both in the installed client and the web client.
Users can reload or delete a selection of data tables and specify metadata for data tables and columns as custom properties applicable throughout the document for use inside expressions using calculated columns or custom expressions.
OpenID Connect and OAuth2 flow refresh token used for authorization can be reused across sessions; eliminating the need for repetitive logins and ensuring a smoother authentication to access data sources in Information Services or TIBCO Data Virtualization connections without unnecessary interruptions.
It is now possible to create and share data connections through the TIBCO Cloud Spotfire library. Users can now prepare complex data models for others to utilize effortlessly as starting points for their analyses or to add additional data to existing analysis files.
Boolean type data can now be accessed with the TIBCO Data Virtualization connector.
Information Services supports initiating OAuth2 flows, to seamlessly authenticate and access data from diverse sources, regardless of identity provider limitations.
In addition, Information Designer allows the creation of data sources requiring end-users to log in with their credentials for both accessing data, and creating new information links.
Spotfire’s latest updates for Administrators include several improvements for increased robustness, resilience and security:
TIBCO Spotfire now has the following features promoting ease of use for interactive insight discovery:
With the new Data Canvas left sidebar, data tables and Spotfire Data Functions are displayed at users fingertips allowing for greater ease in navigating analyses menus switching between data tables. Collapsing or expanding to maximize workspace.
Additionally, the Data Canvas now includes ‘Add’ and ‘View’ column descriptions directly from data in analysis flyout. This allows for easy, in-line labeling of data columns.
Building upon logging capabilities in recent releases, administrators are able to troubleshoot or monitor usage more effectively with the following Information Services logs:
….along with new configuration options for setting a maximum number of stored procedure input rows.
Validation of JDBC data source templates may now be performed by using a command line tool, testing connections to external data sources through specified templates.
The Spotfire integration with TIBCO Data Virtualization is extended with support for modern distributed authorization and authentication protocols, OpenID Connect and OAuth 2.0, in addition to existing Kerberos support. Spotfire users can enjoy easy access to relevant and personalized data, with seamless Single Sign-On (SSO).
TIBCO Data Virtualization provides enterprise-scale data virtualization capabilities to create and orchestrate virtualized data views for all data and vastly extends the number and types of data sources that can be accessed from Spotfire as a data catalog. This offers support for a wide range of data sources, databases, enterprise systems, REST APIs, and files.
Spotfire’s latest updates for data canvas and data in analysis flyout include:
A new task is available in Automation Service Job Builder: the Execute Data Function task. This enables running and completing Spotfire Data Functions before performing later tasks. For example, users may open an analysis, run a data function, and then generate an export after the data function completed execution.
The Execute Data Function task also enables chaining executions and completions of multiple data functions in a predetermined sequence in an automated job.
Search expressions are now automatically added to the URL of the Spotfire Library views. Users may now search the Spotfire Library and simply copy the URL from the web browser to share it with others. This simplifies the sharing of custom library views.
Red Hat Enterprise Linux is now supported as the operating system for:
Spotfire’s latest updates for administrators include:
TIBCO Spotfire® Service for Python is available in TIBCO Cloud™.
Spotfire users may now publish analyses containing Python data functions on TIBCO Cloud™. This makes it easier than ever to work with today’s most popular data science language and build no-code advanced analytics for Business Author and Consumer users.
Ubuntu is now supported as the operating system for the TIBCO Spotfire® Server, TIBCO Spotfire® Web Player, TIBCO Spotfire® Automation Services, TIBCO Spotfire® Statistics Services, TIBCO Spotfire® Service for Python, and TIBCO® Enterprise Runtime for R - Server Edition.
Spotfire’s latest usability improvements include:
New functionality for Spotfire allows users to format dates using the ISO-8601 weeks and years standard to determine how data in a chart appears and how it is used in calculations.
The data in the analysis panel is now accessible from the data canvas for easy viewing and editing of column properties in the context of a selected data table in the data canvas.
Spotfire 12 introduced new Actions capabilities, bridging the gap between insight and decision making with a no-code solution for writing back transactions to any cloud or on-premises application. This enables taking action across countless operational systems, spanning all of today's top enterprise business applications and databases. New customizations for Spotfire Actions now include:
Continuing to build upon the many recent enhancements to the Spotfire Library user interface, the latest update includes improvements to the library search:
Continuing to build upon the many recent enhancements for admins, including a new user interface, the latest updates for Spotfire administrators include:
Icons for data functions enable faster identification and selection among several in the f(x) panel.
Data functions developers can assign an icon to a data function from a list of pre-defined, category-based icons with associated keywords, or using their own custom icon.
Web authors can quickly change the level of details in a visualization or combine filters to more structured hierarchy filters by inserting data hierarchies when two or more columns relate to each other.
Prompts for column matches when replacing data can be switched off to avoid interruption of automated workflow when replacing multiple data tables in sequence.
Building upon the much improved admin UI recently introduced in 11.7,
Spotfire users are now able to access the new Amazon Redshift Serverless offering via the native Amazon Redshift connector.
As a 'Redshift-Ready' certified partner, TIBCO Spotfire already delivers a leading integration experience with Amazon Redshift and this now extends to its new severless offering.
With newly introduced Cloud Actions, TIBCO Spotfire® users can now take action to update other operational business systems directly from the Spotfire® environment, triggering seamless transactions straight from a data visualization:
Additionally, integrations with custom applications are also reachable by standard communications protocols like REST, SOAP and WebSocket. Overall, new Cloud Actions capabilities for transacting events between systems closes the gap between insight and action to accelerate human-in-the-loop decisions.
All Spotfire services now run on Linux, with official container recipes and orchestration of cloud-native management for all Spotfire services. The new Cloud Deployment Kit for TIBCO Spotfire® provides a reference and starting point for Spotfire deployment using containers and Helm charts on a Kubernetes cluster.
Auto-scaling of Spotfire services allows for quicker and easier upgrades, reducing the total cost of ownership.
...plus two new data visualization color scheme palettes made for accessibility. Page navigation bars and status bars can also now be displayed on top of the visualization canvas to offer even more customizable design options.
Visualize fully governed pre-trained models to improve trust in data science models—ALL in one analytics platform:
By integrating scoring models with visual analytics, TIBCO® ModelOps software helps Spotfire users to reduce operational risk, improve the understanding of model performance, and slash overall time-to-deploy data science in production.
The latest API capabilities allow for IronPython scripts or C# extensions to add new scripts to text areas and to modify or delete existing scripts.
This enhancement to API usability efficiency provides gains in automation and creation of analysis file updates.
The following components now use Java 17 instead of Java 11:
The latest TIBCO Spotfire data functions enhancements make visual data science easier, faster, and auditable:
Building on the many administration improvements introduced in 11.7, including the new user interface, the latest updates for Spotfire administrators include:
Additionally, Windows Server 2022 is now fully supported as the operating system for:
Usability improvements to Spotfire Mods include:
Visit the Spotfire Mods Hub regularly. Mods are posted for download on the TIBCO Exchange often (even between mainstream Spotfire releases).
The latest updates for TIBCO Spotfire administrators include:
It's now possible to connect to TIBCO Cloud Data Streams from Spotfire on-premises installations. A simple point-and-click experience makes it easier than ever for Spotfire on-premises customers to incorporate streaming data alongside historical analysis for the most current, comprehensive view of their business.
For users of on-demand data tables, new support of tuples in SQL IN clauses results in performance gains for the following connectors:
Seamless single sign-on (SSO) to data sources and more secure and flexible authorized access to role-based data is now supported for Spotfire users connecting through Information Services. Enabled by using OpenID Connect (OIDC) to login to Spotfire combined with the latest release of Spotfire Information Services, this solution is highly configurable and may be used with any data source that supports token-based authentication including (but not limited to) Snowflake, Google BigQuery, TIBCO Data Virtualization.
Also, configuring OAuth2 for Information Services data sources enables now authorized access to role-based data. This means a user will only see the data he/she is allowed to. In other words, different users of the same Spotfire analysis see different data depending on their role.
Additionally, sharing functionality for TIBCO tibbr is deprecated and no longer supported.
The latest Kanban Board Mod offers a means for visually depicting itemized tasks at various stages of a workflow process using cards. When used in tandem alongside the semi-recent Spotfire Mods Gantt chart visualization, this makes for an especially powerful utility for project management professionals to have in their Spotfire analysis environment.
The configurable Gauge Mod displays a specific data point using a dial over a radial scale with defined limits. It's particularly useful when indicating measures of speed, satisfaction, volume, temperature, or whether a measure is above or below average.
The new Donut Chart Mod is very useful for visualizing proportions of categorical data. While functionally identical to a pie chart, donut charts allow for displaying additional data values in the center as a design best practice.
Visit the Spotfire Mods Hub regularly, as mods become available for download on the TIBCO Exchange (even between mainstream Spotfire releases).
With configurable image interpolation in map charts, users can better inspect small defects and irregularities within pictures produced by sensors. Examples for precise discovery include physical asset maintenance with defective pixel clusters or cellular-level life science applications.
Users of TERR Data Functions will now see faster speed to insight resulting from run-length encoding (RLE) compression and faster export of SBDF files.
New API for custom, cobranded login pages:
Using the new API does not require knowledge about any specific front-end framework and it is not subject to framework-breaking changes.
Users of TIBCO Spotfire® Data Functions are now able to view data tables and data function pipelines from the data canvas. Designed to provide the complete picture of your data, this allows authors to visualize each step of a data model workflow: view input parameters and their outputs—all in one analysis environment.
A new data function editing experience allows for editing inputs directly from the data canvas. Along with the new data function overview, this makes it easy to quickly tune and adapt changes in the analytics context while also providing convenient access for reviewing input parameters.
Take action on smarter insights sparked from the most comprehensive analysis of virtualized data. For TIBCO Spotfire users who are also TIBCO® Data Virtualization customers, it's now easier than ever to search and browse fully governed data. Business author and analyst users may open connections to browse virtualized views directly from the Files and Data flyout panel. These capabilities provide the quickest path to visualizing virtualized data available on the market today.
Other Spotfire visual analytics usability improvements accelerate time-to-insight:
In addition to the latest connections to TIBCO Data Virtualization software, the following updates have been made to popular native Spotfire connectors:
The built-in OAuth2 Authorization Server, leveraged by API clients, now supports the prompt parameter. The prompt parameter is defined as part of the OpenID Connect (OIDC) AuthRequest specification.
The following operating systems are all supported in the platform for TIBCO Spotfire Server, TIBCO Spotfire® Statistics Services, TIBCO® Enterprise Runtime for R - Server Edition, and TIBCO Spotfire® Service for Python:
The CLI commands export-service-config and list-service-configs now have an additional argument, platform, that filters which configuration to export to match the intended target platform (Linux or Windows). This filtering utility is helpful for a deployment area with several default configurations for different platforms.
Users of TIBCO Spotfire Data Functions are now able to interactively tune parameters directly within data visualizations. With this new dedicated user interface for tuning, users are able to edit input values, link document properties, input columns or expressions, then automatically refresh visualizations with instant results- all in one analysis environment.
Take action with smarter automated insights with the latest enhancements to Spotfire notifications. Prompt users to navigate to another page or bookmark, create new pages or visualizations, or highlight findings in visualizations and close the gap on time-to-decision by acting on data-driven insights faster.
The Spotfire notification service API now supports defining actions and callback functions making it possible to build analytics applications that use the notification service to guide users through clickable custom actions.
The files and data flyout ('+' menu) now includes either a list or grid view of Recommended files. In Spotfire Analyst and Business Author, it's also possible to select a default start view: Recommended, the Spotfire library, or a specific library folder.
Other visual analytics usability improvements include:
The following updates have been made to popular native Spotfire connectors:
With a newly added API, it is now possible to configure tooltips for Spotfire Mods visualizations using the standard tooltip panel. This provides the same baseline functionality native visualizations, expanding upon Mods' customizable capabilities as highly tailored, domain-specific applications.
Spotfire now supports PostgreSQL versions 13 as a Spotfire Server Database. PostgreSQL version 13 is the latest stable version and supported by most major cloud service providers.
For easier and faster integration with open standards and APIs, SCIM compliant APIs are supported for Spotfire user and group provisioning. SCIM (System for Cross-domain Identity Management) is the open API for managing identities. The SCIM specification is designed to make managing user identities in cloud-based applications and services easier.