What's New

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:

• Key columns: Define key columns for a data table from the data canvas to enable re-applying markings, tags when re-opening an analysis, or replacing values with updates being kept when updating data.
• Column and table properties: View these properties simply by selecting a node in the data canvas.
• Data table settings: Define data storage, filters creation and other settings from the data canvas.
• Reload linked data: Reload either all data sources or linked data source only for a data table, from the data canvas.
• Copy formatting and sort order: Change column formatting and sort order from the data in analysis flyout by copying from another column.
• Geocoding settings: Configure geocoding from the data in analysis flyout.

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:

• TIBCO Spotfire® Server
• TIBCO Spotfire® Web Player
• TIBCO Spotfire® Automation Services
• TIBCO Spotfire® Statistics Services
• TIBCO Spotfire® Service for Python
• TIBCO® Enterprise Runtime for R - Server Edition

Spotfire’s latest updates for administrators include:

• Logging information settings: Change the logging configuration for a specific web player and automation services instance from the Spotfire Admin UI.
• OpenID Connect login hint: Use the login_hint parameter to hint the authorization server about who the user might be.
• Information Services scope: Use the scope parameter for Information Services data source templates to specify the scope required for accessing data when logging in through an identity provider.

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:

• Tags: Web Authors may now attach tags to data rows, enabling them to quickly choose and gather data rows to identify the tagged data in a visualization context.
• Export to Library: Web Authors may now export data from analysis to the Spotfire Library.
• Export to File: Web Authors may now download data from an analysis.

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:

• Custom labels and descriptions in Actions prompt users to better understand what type of input is expected when running an Action.
• Optional parameters in Actions configuration allow users to skip parameters if they are not required in the external service.

Continuing to build upon the many recent enhancements to the Spotfire Library user interface, the latest update includes improvements to the library search:

• Users may now find analytics assets stored in the Spotfire Library with “Created by” and “Modified by” filter fields.
• Users may now locate the latest versions of library items by version name, version comment, or by version creator.

Continuing to build upon the many recent enhancements for admins, including a new user interface, the latest updates for Spotfire administrators include:

• Action Logs for Actions: Usage data for running Actions can now be captured as user action logs. Logs may be analyzed to better understand how Actions are used, and the logged data can support audits.
• New command lines:
  • Remove a user or a group of users from a group.
  • Configure OpenID Connect token hints.
• Updated the command line to delete library versions with new arguments to define lower and upper limits on the number of versions to keep for each item.
• Changes to Data Source Template for Information Services: The PostgreSQL data source template is now enabled by default. The following data source templates are no longer included: DB2, DB2 TYPE4, MySQL, MySQL 5, Oracle, Netezza, SAS/SHARE, SQL Server (JTDS), SQL Server 2000, Sybase, and Sybase (JTDS).

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, 

• Split views on User Pages: When selecting a username from the user list in the Web UI, admins are now able to view the details such as Profile, Licenses, and more. This also allows for switching between viewing user details in split view mode or full view mode, providing an easier overview and better workflow by retaining the user list pane for quicker switching.
• Split views on Group Pages: Upon selecting a group from the group list in the web UI, admins are now able to view the group details like Members, Licenses, and more. By splitting the view between the list of groups and the selected group's details. You can also switch between viewing the group's details in split view mode or full view mode,  providing an easier overview and better workflow by retaining the user list pane for quicker switching.
• Create new data source connections on separate threads: As a work around for drivers that become unresponsive, admins will enjoy more robust capabilities for  creating Information Services data source connections on separate threads. To enable the feature, add a connection property with the name ‘spotfire.pooling.data.source.connection-creation-on-separate-thread’ and set the value to ‘true’.
• Data source included in Information Services log file: The Information Services log file sql.log now includes information about which data sources are used in a query. 
• New argument for config-encryption: The CLI command ‘config-encryption’ has the new argument --username, which accepts the user name of the library administrator.

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:

• Write transactions to any cloud or on-premises application and instantly update systems of record.
• Deliver business insights to any platform where workers live: schedule maintenance, open a ticket, create an alert, reload data, call an API, add notes to your CRM.

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.

• New Library Versioning History: Tracks application changes and makes it easier to recover previous Spotfire library states. This includes browsing saved analysis versions with the option to revert to any previously saved version through either “restore” or by saving a previous version.
• New Layout for Visualizations Legends: Customize the placement of legends—above or below visualizations, aligned left, right, or centered—and save precious space in visualization design. Additionally, the maximum number of values per legend item has increased to a default of 50 values and up to 250.
• Faster Python Data Functions: Whether running one or multiple Python data functions, enjoy performance up to 4x faster with pre-initialized background processes.
• Fit parameters with data relationships tool: A new option to generate slope and intercept data when using linear regression as the comparison method.

...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:

• Open Spotfire analytics to new machine learning and AI languages and platforms including PMML, Tensorflow, Spark, Python-based scoring flows, and more.
• Create scoring pipelines, speed the time to model creation.
• Run your scoring flows through Spotfire Data Functions software for real-time streaming predictions.
• Audit data science models through a complete workflow and versioning lineage.

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.

The API works with both IronPython and JavaScript scripts.

This enhancement to API usability efficiency provides gains in automation and creation of analysis file updates.

• With the latest enhancements to library version history, it’s now possible to delete old library versions with the new command delete-old-library-versions. A library administrator role is required to use this command.
• The built-in OAuth2 Authorization Server (used by API clients) now supports browser-based public API clients (registered using the existing register-api-client command).
• You can now automate the Spotfire database creation with the config tool (create-db).
• The Spotfire database, user, and schemas can be created with provided database scripts. Now it is also possible to perform the same steps from the config tool. In other words, no required scripts and no multiple tooling required.
• TIBCO Spotfire® Automation Services jobs can now be queued even if no Spotfire Automation Services are available. This allows "scale to zero."
• Option for delayed or graceful shutdown of the Spotfire Server from the command line.
• To simplify various upgrade scenarios in an environment with multiple Spotfire Server instances, it’s now possible to run the (database) upgrade tool in multiple instances at the same time without the need for external synchronization or serialization.

The following components now use Java 17 instead of Java 11:

• TIBCO Spotfire® Server
• TIBCO Spotfire® node manager
• TIBCO Spotfire® Service for Python (Python service)
• TIBCO® Enterprise Runtime for R - Server Edition (TERR service)

The latest TIBCO Spotfire data functions enhancements make visual data science easier, faster, and auditable:

• Import R or Python script files when creating a new data function
• Edit data functions outputs with ease directly from Spotfire data canvas settings. This new editing experience allows for adapting functions on-the-fly in an analytics context and also provides a great access point for reviewing all output parameters.
• Audit data function usage through the Spotfire user action logs.
• Navigate from data function outputs to corresponding data tables, and vice versa, directly from the data canvas.
• Group optional input parameters to show required parameters first.
• Display output parameter descriptions when configuring where to add data function results.

Building on the many administration improvements introduced in 11.7, including the new user interface, the latest updates for Spotfire administrators include:

• Action logs now log data function actions when adding or removing functions, editing inputs/outputs or scripts, or pinning them to the f(x) flyout data panel.
• Azure Blob Storage is now supported as the Spotfire Library external file storage.
• The new Spotfire configuration tool command config-library-external-azure-blob-storage enables configuring Azure Blob Storage as the Spotfire external storage.
• Spotfire now supports PostgreSQL version 14 as the Spotfire Server database.
• Admins are now able to resize the main and secondary pane views allowing for easier navigation on different devices and resolutions for the following Spotfire Server web administration pages:
  • Nodes & Services > Network.
  • Monitoring & Diagnostics > Instances.
  • Deployments & Packages > Deployment areas.

Additionally, Windows Server 2022 is now fully supported as the operating system for:

• TIBCO Spotfire Server
• TIBCO Spotfire Statistics Service
• TIBCO Enterprise Runtime for R
• TIBCO Spotfire Service for Python

Usability improvements to Spotfire Mods include:

• Show/Hide feature of Spotfire visualizations is now available for mod visualizations. This makes it possible for to use simple rules like "Show Top 5 categories" or more complex rules based on custom expressions when configuring visualizations.
• Add locally saved visualization mods (.mod files) to an analysis page using “Browse local file” in the
• Files and data flyout.
• Search for visualization .mod files in the Spotfire Library via Find (Ctrl+F) by typing the expression "type:mod."

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:

• New, faster, and easier to use interface for Administrators. A new modern look and feel, improved responsiveness, a new left-side collapsible navigation menu, better table sorting, more intuitive search capabilities with filter menu for Library items, and Automation Services scheduled updates and jobs.
• Data source names are now available from server diagnostics. Server Diagnostics now displays the names of the data sources created on a Spotfire server, for easier understanding of what data source the information belongs to.
• Delete library items by path with the new config tool command delete-library-items which allows to delete library items by specifying the path and type of items.
• List imported root certificates for code trus with new config tool command list-code-signing-root-certificates, which lists all the code signing root certificates, both those issued and those imported to the Spotfire Server.
• Easier reverse-proxy configuration for Spotfire Server cluster through a new Spotfire Server config tool option.
• Automatic Spotfire Database creation with the scripts for Spotfire database schema setup (configuration and action log).

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:

• PostgreSQL
• MySQL
• Oracle
• Amazon Redshift
• Apache Drill
• Apache Spark SQL
• Dremio
• Greenplum
• SAP HANA
• Vertica

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:

The AngularJS-based API for custom login pages has been removed. A new API with the same capabilities, written in standard JavaScript, is now provided as part of the cobranding feature.

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:

• Several new visualization mods from the TIBCO Community include the very popular project management Gantt Chart, increased data volume support in the Area Chart, as well as logarithmic scale in the Stock Chart.
• For Microsoft PowerPoint exports, the default aspect ratio is now 16:9 widescreen. Administrators may switch between the new widescreen (16:9) format and the prior full-screen default setting (4:3) using the preference "Export Layout Format" in Administration Manager.

In addition to the latest connections to TIBCO Data Virtualization software, the following updates have been made to popular native Spotfire connectors:

• Amazon RDS MariaDB is now supported as a native connector.
• For the Microsoft SQL native connector, it’s now possible to specify connection and command timeouts in a new advanced settings tab in the SQL server connection dialog.

It's now possible to hide all toolbar navigation menus as a configuration option when showing a Spotfire analysis in a web page using the JavaScript API or parameterized URL.

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:

• Debian 11
• Debian 10
• OpenSUSE 15

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:

• A maximized canvas option.
• Improved scrolling/zooming navigation experience in geoanalytics map charts.
• Several new visualization Mods contributions from the TIBCO Community including the Sankey diagram and Bump chart.

The following updates have been made to popular native Spotfire connectors:

• The TIBCO Spotfire connector for Amazon Redshift now supports cross-database queries or data sharing, enabling connection to Amazon Redshift databases and the querying of other databases in that cluster- all from one Spotfire environment. Select schemas, tables, and columns in a cross-database manner with ease.
• As an Azure Synapse Analytics partner, Spotfire is recognized for providing an optimal experience to users of both Spotfire and Azure Synapse Analytics and SQL. In addition to extensive verification, we now also provide "application name" and "version" for Synapse telemetry tagging.
• The native Google BigQuery connector now uses the Google BigQuery High-Throughput Storage API. The loading of over a million rows is exponentially faster in orders of magnitude.
• Various updates for new data types now supported in the Spotfire connector for TIBCO Data Virtualization.

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.

• We added support for Token Endpoint, as specified in RFC 6749 and RFC7591. The built-in OAuth2 Authorization Server (used by API clients) now supports the client_secret_post token endpoint authentication method.
• With some SCIM clients requiring a long-lived access token to be provided during configuration, a new CLI command, issue-access-token, has been added to facilitate issuing long-lived access tokens to API clients.
• As these tokens required revoking and renewing, the Spotfire Server now supports RFC 7009 "OAuth 2.0 Token Revocation" for access and refresh tokens issued to API clients. Additionally, a new CLI command, revoke-token, allows now to revoke a given access or refresh a token that was previously issued to an OAuth2 client.

The latest addition to the Community library of TIBCO Spotfire® data functions includes the Autopilot template for Amazon SageMaker. It provides powerful autoML capabilities for both data scientists and business analysts by building, training, and optimizing the model creation process. With model explainability rendered through auto-generated visualizations, AI-driven insights for SageMaker model performance are exploration-ready in Spotfire analytics and only a click away.

Additional Python usability and TIBCO® Data Science workflow improvements in this release also include updates to the Python interpreter, benefiting all Spotfire users leveraging native data science workflows in today’s top programming language.

When using multi-source data loading with complex data transformations and mashup computations, Spotfire users will now experience documents opening up to 70% faster. This provides greater efficiency gains for faster time to analysis and accelerates the overall speed-to-insight.

For more details and other frequently asked questions about performance gains, visit the TIBCO Community.

With the introduction of multi-layer trellising capabilities on map charts, exploration of multivariate comparisons between categories are more powerful. The trellising of a map chart can now comprise more than one layer of data, allowing for comparison of multiple measures of data within a single geographical or diagrammatic map. Recognize similarities or differences between various categories to spot insights with ease.

This release includes all of the following updates to connectors:

• Sharepoint online list expanded support now includes single-tenant setup and authentication endpoints. Organizations using their own authentication endpoints may now configure those via new preferences distributed to all clients.
• Apache Spark SQL now supports Databricks SQL Analytics. This allows for self-service visual data discovery using live pushdown querying in data lake clusters.
• TIBCO Cloud™ Spotfire users can now load and analyze up to 20 million rows in-memory, unlocking completely new use case applications and insights at- scale without needing to compromise data volumes in an analysis.
• TIBCO is now verified as an Amazon RDS Service-Ready Business Application. Joint users of Spotfire software and Amazon RDS, either as a data source or as the Spotfire Server as a database, now enjoy this benefit of the highest Amazon-certified integration.
• Additionally, Spotfire integrations for Impala and Hive are also Cloudera Certified Software for the BI/Analytics program.
• Performance improvements for importing made to PostgreSQL, MySQL, and Amazon Redshift connectors.

A new copy-to-clipboard feature captures all newly introduced details by simple cut-and-pasting of data table properties.

A new Summary view now expands the primary data table by default, allowing for easy adjustments of default settings.

All of these improvements streamline the union of data tables for smarter ML-driven data preparation efficiencies.

The TIBCO Spotfire Service for Python is now available in the TIBCO Cloud Spotfire Enterprise version.

Two new commands are now available (migrate-db and migrate-action-db) to facilitate the migration of the Spotfire configuration database and action database from one supported server to another (e.g. from Oracle database to PostgreSQL).

Administrators now have the ability to configure a maximum number of concurrent sessions per user, forcing logouts if maximum is exceeded. This helps to facilitate license management and also aligns with modern security access controls standards.

For spatial map manipulation, Spotfire analytics now provides a means for disabling geometry simplification to improve acuity in the rendering of rectangle features. By preserving essential shapes, this expands capabilities for more precise visual exploration and discovery.

The interface for saving analyses to the Spotfire library has been unified with that of the experience for browsing library files and data panel. Additionally, the data flyout has new functionality for naming, managing, and sharing files all from within the panel itself.

It's now possible to call the API to determine the current status of a Spotfire analysis as viewing or editing. This allows developers to adapt custom user interfaces for either displaying or hiding authoring capabilities for a much cleaner, more simplified user experience.

This feature applies to the Spotfire Mods API, the C# Custom Visualization API, and the JavaScript API for mashups across all Spotfire installed and web clients.

Several usability improvements to Spotfire Mods include performance gains with API calling efficiencies, more web browsers, and removal of dependencies of third-party cookies.

With new f(x) flyout functionality, it's easier than ever for non-developers to add Python and R data functions to TIBCO Spotfire® analysis files and applications:

• Search the Spotfire® library for data functions and pin favorites.
• Discover new outputs available in the summary view as recommendations.
• Browse a library of data functions on the Community.
• Use a data table as a data function input.

Data functions become shareable assets for repurposing across an organization, allowing for more advanced calculations to answer more questions across more analysis files for the most comprehensive analysis. This also unburdens data science and developer teams to focus on higher value analysis.

Several new contributions have been made to TIBCO Community Mods as well as general usability improvements with drag-and-drop functionality for Mods file management in the Spotfire Business Author client.

With added governance and trust mechanisms, the Package Builder is now available via cloud download for Spotfire developers to use for signing trusted Mods with CA certificates.

For all updates to the Mods API 1.1 and more, view the full Mods Developer Documentation.

Automatic column matching when adding rows, Useful when new columns with the same names and data types are continuously added over time.

All of these improvements streamline the union of data tables for smarter ML-driven data preparation efficiencies.

The Spotfire data panel now displays all supported data sources, allowing for selection of specific data sources without needing to match them with a connector. Search data sources, not just connectors, directly from the flyout.

Additionally, the following connector updates have been made:

• Sharepoint online lists expanded support now includes automation services and scheduled updates.
• SAP HANA HINTS support for improved metadata loading performance, allowing for clauses in queries to guide the adding of metadata.

TIBCO Spotfire Server and related services now support using AdoptOpenJDK as an alternative to OpenJDK distribution instead of the default Oracle Java.

A new configuration file for custom logging settings is available in the node manager to simplify settings reuse and provide persistence upon upgrades.

Newly translated help resources are also available on docs.tibco.com.

Admins can push selected data function f(x) flyout content to end users.