Now rows, columns, and data transformations can be added anywhere within an existing data table structure.
Spotfire now has a new and improved Salesforce connector that supports federated authentication and doesn’t need an ODBC driver. It uses Salesforce bulk API for quick access to millions of Salesforce records and allows loading of more than 2000 rows from Salesforce reports.
Spotfire now supports cascading filters also when working with external data in relational databases.
Spotfire now automatically sets coordinate reference systems by recognizing the projection formats (.prj file) associated with Shapefiles.
More coordinate reference systems are now supported with greater details.
Spotfire now has a query log dedicated to connectors available for administrators. The log file collects queries from Spotfire Analyst, Node Managers and Automation Services.
You can now create visualizations that aggregate calculated Oracle Essbase measures.
The connectors for Oracle, Microsoft SQL Server, and PostgreSQL now support geographical data types allowing you to connect to and extract geographical row-level data into the in-memory data engine with just a few configuration steps.
In addition to the new connection timeout setting for SAP HANA, any connection strung parameter can now be set from Spotfire, for example, the fetch size.
The maximum MDX query timeout limit can now be raised to allow for queries that take longer time.
Username and password authentication is now supported for Microsoft Analysis Services.
With the added support for username and password authentication you can now connect Spotfire directly to Microsoft Azure Analysis Services.
TIBCO Cloud Spotfire and the Spotfire on-premises platform can now connect to Amazon RDS SQL Server data using Microsoft SQL Sever connector. This means Spotfire analysis files stored in the Spotfire (Cloud) library can query Amazon RDS SQL Server directly from the web-based clients, Spotfire Business Author and Consumer.
It is now possible to add data operations (AddRowsOperation, AddColumnsOperation or DataTransformationOperation) to any location within the data table structure (Source View).
Big data visualizations using live queries, especially towards large OLAP data sources like SAP BW and Oracle Essbase, are now much quicker to respond to and also mark changes you make.
Visualizations with zoom-sliders that now auto-zoom when the data changes (e.g, when filtering) and when sliders are at the end of their range.
Spotfire Analyst now has a color picker that makes it easy to create analyses that follow your corporate color scheme, the color scheme of a website or the like. Just pick the color you want from anywhere on your screen and use it in the custom theme editor.
The Spotfire page layout is now responsive, so when a page is viewed on a small device like a phone, the layout organizes to suit the screen. The responsive layout enables vertical scrolling if the page is too large to view on the screen directly.
The column selectors in Spotfire now have an improved look and feel and are only displayed in the visualization over which the mouse pointer is positioned.
You can now add columns to a data table using Spotfire Business Author web client.
You can edit previously specified Add columns (Join) operations. This makes it really easy to adapt your analysis files to changes in your data sources over time.
You can now quickly edit on-demand settings for each individual data source in a data table.
You can store analysis files in the TIBCO Cloud Spotfire library and query Databricks Cloud and Apache Spark SQL directly from the web-based clients Spotfire Business Author and Consumer.
TIBCO Cloud Spotfire now connects to Microsoft HDInsight Hive. You can store analysis files in the Spotfire Cloud Library and let them query Microsoft HDInsight directly from the web-based clients Spotfire Business Author and Consumer.
TIBCO Cloud Spotfire and the Spotfire on-premise platform now support Amazon EMR via Hive and Apache Spark SQL.
A timeout setting has now been added to the Cloudera Impala connector. This allows you to let Impala queries run for longer. For example, this allows running queries to complete when you are extracting result data sets into the in-memory data engine of Spotfire.
Execution of Automation Services jobs can now be triggered from an external application using a REST API. A job can either be stored in the Spotfire library or passed as an argument. The API uses an OAuth2 based authentication/authorization mechanism.
The Web Service (SOAP) APIs (LibraryService, UserDirectoryService, UpdateAnalysisService, InformationModelService, LicenseService and SecurityService) now uses a OAuth2 based authentication/authorization mechanism. This means that the API client only needs to support a single authentication method that will work with any Spotfire Server authentication configuration.
Spotfire now has an updated and simplified procedure for building .NET extensions for Spotfire. The package building functionality is now integrated with Visual Studio® along with templates.
It is now possible to ship a bundled solution, containing several Spotfire packages, as a single distribution file (.sdn).
The Spotfire deployment mechanism now supports both upgrading and downgrading of the installed Spotfire client when you connect to a server (and a specific deployment area), making it easier to work with multiple Spotfire versions simultaneously.
You can now temporarily maximize a visualization to take a closer look without distorting the original layout as well as rotate the view between all visualizations on the page.
Two-finger scroll is now possible on mobile devices, very useful when viewing a page larger than the screen and when looking at a visualization with its own scroll capability, like a table or a map. Two fingers scroll the page, one scrolls the visualization.
We have increased the limit for number of labels in a scatter plot or a map chart to up to 3,000, especially useful for centered data labels where markers don't overlap significantly.
In the source view, you can remove individual data sources using the new trash can button. Spotfire provides a preview of the result as you mouse-over the trash can. The undo feature, of course, allows you to reinstate the node.
Joining data tables with Insert Columns now stores which columns you chose to ignore and which to add, listing them in the data table properties dialog of the source view. This is very useful when many data transformation and Insert Columns operations are in your analysis.
With Spotfire's connector for Teradata, you can now browse and connect to data represented by Teradata macros. A macro allows you to name a set of one or more SQL statements, providing a shortcut for executing groups of frequently run SQL statements in Teradata.
Now you can export a prepared PDF with the Spotfire .Net API, including custom workflows with C# extensions or IronPython scripts.
The Spotfire .Net API page renderings and visualizations now result in PNG images that use the visual theme, and the API includes settings to adjust resolution and visibility of attributes like annotations, axis labels, legend, and title. This API is useful when creating export tools to support customized layouts or output formats.
The Spotfire .Net API now supports configuring a WMS layer with username and password.
The Data Table Source View API (introduced with the 7.10 release) now lets you remove individual data sources or other operations, such as add columns operations or add rows operations.