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.
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:
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.
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:
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:
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.
All of the available default map types for multi-layer mapping have been updated with fresh geographical data to provide a more detailed and immersive mapping experience.
Users of Spotfire geoanalytics are also now able to connect to GeoJSON files, making it easier to add custom geospatial data to analysis.
The Spotfire connector for PostgreSQL now supports the GPU accelerated database Brytlyt.
Users of Brytlyt will experience blazingly fast query response times for ad hoc interactive push-down queries, all without needing to import data into the Spotfire in-memory engine.
Additionally, the Spotfire Connector for MySQL now supports SingleStore (formerly MemSQL). ODBC drivers for Apache Spark SQL, Cassandra, and MongoDB have all been updated.
Spotfire users may now exclude the (All) and/or (None) options from the item, list box, and radio button filters. This functionality streamlines the auto-configuration of commonly used filters in regular reports.
Additionally, users may now set a preferred visualization type to display on default when adding data to Spotfire software.
Users of cross tables will enjoy coloring table cells by another column property or a custom expression. All of these feature enhancements help to accelerate insight generation.
The Python interpreter required to run data functions in the current version of Spotfire software was updated to 3.7, benefiting all Spotfire users leveraging native data science workflows in today’s top programming language.
The Spotfire Mods Developer Documentation has been updated with more detailed information for using the Mods API, enabling a much easier getting-started experience for enabling development of new custom analytics applications.
Other API updates include additions to the C# API allowing for automation of new 11.2 functionality noted above (radio button filters, cross table cell coloring) via IronPython scripts and C# extensions.
Microsoft Windows Server 2019 is now supported with Citrix for Spotfire Analyst and Spotfire Desktop. Support for Citrix Virtual Apps and Desktops 7 1912 LSTR has been added, and support for Citrix XenApp 6.5 and 6.0 has been removed.
Microsoft Windows Server 2019 is now supported with Remote Desktop Services for Spotfire Analyst and Spotfire Desktop. Support for Remote Desktop Services with Windows Server 2008 R2 has been removed.
Spotfire users connecting to TIBCO Cloud™ Data Streams now have a self-service, no-code environment for streaming business intelligence. Blending real-time data connectivity and easy to use visual analytics, Spotfire analytics now gives users the ability to access data streams on the cloud—with no installation.
The Spotfire MySQL connector now supports both MariaDB on TIBCO Cloud™ Spotfire software and TIBCO Spotfire for AWS, allowing the ability to push live queries and refreshed data directly from TIBCO Cloud web clients to internet-facing MariaDB instances.
Spotfire users can have pop-up notifications set at the user group for greater relevance and a more tailored user experience. Administrators are now able to configure this as a default setting from the Administration Manager.
The latest version of TIBCO Enterprise Runtime for R (TERR) includes support for BioConductor R packages and full compatibility with Open Source R 4.0.2. For more details, see the full documentation.
A new option for accessing hidden intermediate data tables is now available with a "Show in user interface" feature in the Data Canvas. This expands on the previous data table properties settings to allow for creating analysis that is easier to navigate and understand.
SUSE Linux Enterprise Server 15 is now supported as an operating system for each of the following:
Additionally, it’s now possible to perform a graceful shutdown of node manager services, or order on delay, by using the command line. For more details, see full documentation.
Admins are now able to use a new command "copy-deployment-area" to create a copy of a deployment area with a new name within the same Spotfire Server. Also, another new command "export-deployment-area" allows exporting all packages in a specified deployment area and saving them in a distribution file (.sdn) for deployment to another Spotfire Server instance.
Mods interact with any library, API, or workflow, always leveraging built-in Spotfire capabilities. This makes it easier for developers to create fit-for-purpose visualizations that blend into the end-user experience as if they are native. Users may also make mods freely available to others in the Spotfire community and also share them in the Spotfire Library. Development and security of mods may be governed by organizations' administrators with new features including a certificate-based trust mechanism.
Spotfire analytics now offers Amazon Redshift Ready certification along with a completely enhanced Amazon Redshift connector. With self-service support for Amazon Redshift Spectrum, users have out-of-the-box support for analyzing data in S3. This, together with the added support for geographical data and the vastly increased number of supported Amazon Redshift analytic functions, without the need to write any SQL, provides a much improved visual data prep workflow experience.
Additionally, new authentication methods include modern identity providers:
Users of the Spotfire Analyst client will enjoy a new f(x) flyout feature enabling the pinning of frequently used data function definitions to the data panel flyout. A simple click of a pinned f(x) icon applies a data function to new analyses as a convenient and natural step in the workflow.
Spotfire Web Player software can now be configured to gracefully throttle the rendering of visualizations with streaming data, based on the Web Player CPU load. This means that use of the Web Player's CPU can be managed more efficiently, and more users can be served real-time dashboards from the same Web Player instance.
It's now possible to build a Spotfire .spk file containing a Python interpreter and automatically distribute it to all Spotfire Analyst users and server machines running the Spotfire service for Python. This ensures that all users have the ease and convenience of executing Python data functions all in one consistent platform environment.
With added functionality for making columns previously hidden in analyses visible again (e.g. attempting to delete columns that are referenced in calculated columns), improved usability now allows for building more customizable visual data pipelines and applications.
The Spotfire welcome page content is now able to be customized with content such as graphics, text, and links. This extends the possibility to co-brand your Spotfire solution as a domain or organization-specific white-labeled analytics tool.