Spotfire Ideas Portal
Spotfire 14.3 continues to enhance the web user interface, introducing web UIs for analyzing data from Microsoft SQL Server and for working with Document Properties within analytical applications. This release also makes the new, intuitive visualization authoring experience available in preview to all users across both web and installed clients. Administrators benefit from advanced security settings for authentication and encryption, ensuring robust data protection and governance.
Spotfire 14.3 significantly improves the analytical experience, making it easier for experts to derive insights and build sophisticated applications.
Users of the Spotfire Web client can now directly analyze data from Microsoft SQL Server using a comprehensive web-based interface. This simplifies data access and analysis for a broader range of users, aligning with Spotfire's commitment to empowering experts with seamless data connectivity.
Document Properties, critical for creating interactive and dynamic visual data science applications, now have a dedicated web interface. This provides enhanced visibility into how properties influence analyses, allowing users to pinpoint affected analysis parts, identify where a property value is utilized, and even determine if a property triggers a script upon alteration. This greatly aids in the creation and deployment of highly tailored, business-critical applications.
This release introduces an innovative, unified visualization authoring experience, available in preview for both web and installed clients. This panel offers:
Ease of Use: Consistent design across all visualization types, showing only relevant properties for the selected visualization.
Searchability: Quick access to properties and settings through a search function.
Efficiency: Ability to configure multiple selected visualizations simultaneously and reuse configurations via drag and drop.
Scalability: Designed to accommodate future visualization capabilities, ensuring Spotfire remains at the forefront of visual data science. This includes new properties and appearance cards, allowing granular control over color, shapes, tooltips, and more.
Spotfire Statistica 14.3 enhances its integrated Python capabilities, supporting virtual environments and requirements files in the Python node. This allows for precise library management and improved performance by enabling multiple Python nodes to share the same Python process. This deep integration further strengthens Spotfire's position as a visual data science platform that leverages open-source extensibility.
Spotfire's extensibility and automation capabilities are key to solving complex, industry-specific business problems. Spotfire 14.3 reinforces this by number of improvements.
For scheduled updates or Automation Services jobs, all running instances are now considered eligible targets when capacity changes. This intelligent distribution mechanism ensures that jobs are spread more evenly across available resources, enhancing the reliability and efficiency of automated analytical workflows for business-critical operations.
Data Function definitions, which encapsulate powerful R or Python scripts, can now be easily exported and imported via the Statistica Extension interface. This preserves all definitions, significantly minimizing the time spent configuring data functions for reuse and promoting a collaborative development environment among Spotfire users. This feature is crucial for deploying sophisticated, reproducible analytical methods across an organization.
Spotfire 14.3 introduces significant enhancements to platform management, focusing on security and operational efficiency for administrators.
For heightened security, sensitive information such as service account credentials stored in the Spotfire database are now encrypted using AES-GCM, replacing the less secure AES-CBC. AES-GCM provides both data authenticity (integrity) and confidentiality, aligning with modern security best practices.
The length of the key used for encrypting secrets in the Spotfire database is now configurable via the config-encryption command, giving administrators greater control over encryption strength.
Pushed Authorization Requests (PAR) are now employed as an additional security measure when authenticating users with OpenID Connect and during OAuth2 flows to access external data sources, provided the OIDC provider or OAuth2 Authorization Server supports it. PAR, defined in RFC9126, is part of the OAuth 2.0 Security Best Current Practices.
Proof Key for Code Exchange (PKCE) is also now used as an additional security measure for OpenID Connect authentication and OAuth2 flows. PKCE (pronounced "pixy"), defined in RFC7636, is another component of the OAuth 2.0 Security Best Current Practices, further securing public client interactions.
Spotfire Statistica now supports authentication using OpenID Connect in WebStatistica, allowing users to authenticate to the WebStatistica via an OIDC provider. This streamlines user management and enhances security for the integrated statistical capabilities.
The User column in audit logs has been improved to better reflect changes to usernames from external authentication services, providing historical names in parentheses for better traceability and audit compliance.
All Statistica components have been updated to .NET Framework 4.8, ensuring compatibility, improved performance, and access to the latest platform features.
TS-I-8981 SQL Server connector available from the web client
TS-I-9345 Search bar on Document Properties
TS-I-8636 Allow FiscalYearOffset property to be set in BusinessAuthor
TS-I-8740 Multi-line field for editing document property values