What's New

10 / 2019
10.6

Introducing Streaming Visual Analytics for Spotfire Web Clients

Users of TIBCO Spotfire® web clients can now visualize real-time streaming data sources in the same visual analytics environment as historical analyses.

This feature makes it easier to roll-out real-time business applications and dashboards to large user bases. A new demo file is now embedded in Spotfire® Analyst software to demonstrate streaming data using static data as reference.

Interactive AI with Insights for Marked Data

When Spotfire users mark data points of interest, the Spotfire Recommendations engine now analyzes potential relationships between marked data and the broader datasets. Identifying the differences for deeper investigation, Spotfire analytics highlights these through best-practice visualizations for each specific relationship.

 

New Alerting Functionality for Streaming Data

In Spotfire Analyst software, you can now configure alerts using the Spotfire Data Streams/TIBCO Streaming UI for visualizations based on real-time streaming data. With a simple right-click from within Spotfire analyses, users may now define and manage alerts, triggering actions such as sending of emails.

Enhancements to Geoanalytics

Spotfire software now uses georeferenced information to position image layers automatically rather than manually.

Additionally, adding image layers to a map chart allows for faster configuration of coordinate system (CRS) on full map visualizations.

Improved Data Wrangling Capabilities

With 50+ new analytical functions to the built-in Snowflake connector, Spotfire users leveraging the leading cloud data warehouse are now enabled to push more calculations into Snowflake. This reduces the need to extract row-level data from Snowflake into the Spotfire data engine.

Single Sign-on between Spotfire and Spotfire Data Streams

Single sign-on (SSO) between Spotfire and Spotfire Data Streams software is now supported. This feature makes it easier to deploy streaming visual analytics dashboards and applications across large organizations.

Enhancements to General Usability

The user now has the ability to inform the Spotfire solution not to calculate insights for selected columns of data. This aides in faster arrival at insight if data is redundant or otherwise irrelevant to a specific analysis.

New Support for Admins

Spotfire software now supports deployment on Windows Server 2019 as well as Oracle 19c as the Spotfire Server Database.

09 / 2019
10.5

Smarter Recommendations Logic

Creating TIBCO Spotfire® visualizations is now faster with enhanced Recommendations logic: automatic detection of several new non-additive categories, as well as more options for aggregating numeric columns. The Recommendations engine now uses that knowledge to make more informed suggestions for the initial state of visualizations, speeding the time-to-insight discovery.

Added Support for Cloudera Hive and Impala Connectivity

Native Spotfire connectors for Cloudera Hive and Cloudera Impala now support the latest Cloudera CDH version. Available in all clients for on-premises and in TIBCO Cloud™ Spotfire® Analyst software.

Improved Data Wrangling Usability

A simplified workflow for data transformations: Add new data directly from the canvas graphical view using the canvas wire "plus sign" feature. Additionally, the canvas information pane now enables the user to copy to clipboard. Total row and column count details are also now available for each data source.

Setup Spotfire Node Manager for Non-Administrator Accounts

It's now possible to configure the Spotfire® Node Manager to run under non-administrative accounts. This feature distinguishes node manager operations from administrator operations on your machines. See this community article for access to the script and instructions.

06 / 2019
10.4

Introducing Native Support for Google BigQuery

With native Google BigQuery support, data scientists can now easily push interactive queries from Spotfire® software into BigQuery and visualize their largest datasets instantly without sacrificing speed or performance.

Added connectivity to ComputeDB

Native connectivity for self-service access to TIBCO ComputeDB™ in-memory database, which is based on Apache Spark™ and Geode™ software and optimized for analytics. Provides Spotfire users with modern query processing techniques for low-latency, interactive analytics on both stored and real-time streaming data.

TIBCO Data Virtualization support in TIBCO Cloud™ Spotfire web clients

TIBCO Cloud™ Spotfire® web clients now include support from TIBCO® Data Virtualization software, allowing web and mobile clients to load and refresh data. This offers unified views of disparate data sources and improved data federation capabilities.

Improved On-demand Data Storage

With new, global-preference, on-demand storage, administrators have the option to let users begin a Spotfire session with empty on-demand data tables. Users will enjoy the ability to save and reuse analysis files with personal on-demand data tables or simply save storage space in the library.

New Shortcuts for Selecting Visualizations

Creating visualizations is now faster with the option of keyboard shortcuts: CTRL+1 creates a table, CTRL+2 creates a cross table. More shortcuts can be seen by simply hovering over the visualization type. Additionally, more time-saving features for quickly adding visualizations include the ability to search for chart types using the Find tool and simple keywords like "bar" or "line."

Data Reload/Refresh Enhancements

It's now possible to reload data directly from the toolbar in Spotfire web clients:

  • In Business Author mode: refresh all linked and all stored data sources via the menu options Data > Reload Linked Data and Data > Reload All Data.
  • In Consumer mode: for analysis files that have not been loaded by Scheduled Updates, refresh linked data sources via the menu option Data > Reload Linked Data.

Enhancements to General Usability

A new "Open" choice in the Spotfire file menu lets you browse local files.

API Updates

The C# API allows IronPython scripts or C# extensions that allow admins to access user name, domain, group/role membership, and other relevant information about users.

New Drivers for Spotfire Server

Spotfire Server software now automatically includes ODBC drivers for Apache Spark SQL, Apache Cassandra®, and MongoDB Server. As part of this release, these have all been updated to the latest versions for TIBCO Drivers 1.8.

Action Logging for Visual Analytics

The Spotfire user action log has now been extended to include many common visual analytics actions such as create visualization, filter, export, and others. This enables organizations to monitor usage more closely and further optimize investment in BI assets.

05 / 2019
10.3

Introducing Native Support for Snowflake

This release adds support for a native connection to Snowflake, a widely deployed cloud-hosted data warehouse. Modern and scalable, Snowflake's elastic cloud provides TIBCO Spotfire® users with computing power on-demand, from ad-hoc visual data discovery to AI and machine learning workloads.

Enhanced Governance and Security for Scripts, Data Functions, TERR Expressions

Advanced applications using scripts and custom queries now benefit from state of the art SHA-512 based trust stamps. Through a new security feature, data functions are now covered by the trust mechanism. Administrators will enjoy improved governance over authoring and execution using the new find-analysis-script command.

Additional notes for Admins on 10.3 upgrade requirements

Connect with TIBCO Cloud Live Apps

Spotfire® analytics, along with TIBCO Cloud™ Spotfire® software, now support a native connector for TIBCO Cloud™ Live Apps low-code integration. This requires a TIBCO Cloud™ account and access to a TIBCO® Live Apps subscription.

New Data Connectivity for MongoDB, MemSQL, and MariaDB

Additional data connectors also include new native support for MongoDB, MemSQL, and MariaDB. Allows for live querying, retrieval, and in-database analysis from these top frameworks, all within Spotfire software.

GeoAnalytics Recommendations

The AI-powered recommendation engine now visualizes auto-detected relationships between selected columns and latitude or longitude more clearly, displaying them in maps. Additionally, over 4,000 new geo-coding boundaries are also now available in maps.

New Data Canvas Functionality

It's now possible to edit or remove top-level columns directly from the data canvas, along with other calculations or custom hierarchies, for a much cleaner data wrangling experience.

Custom Header Capabilities

The ability to create custom headers in the Spotfire web client has been reintroduced, offering greater customization for co-branding and OEM white labeling capability.

API Updates

Spotfire Server software now supports OAuth2 authorization code grant for the library REST API and other REST and SOAP-based services. Additional improvements to C# API include streamlined data table reloading and maps functionality.

Improved Library Browsing Usability

As a result of user feedback following the Spotfire X software release, several feature enhancements to library browsing make it much easier to sort and locate full description fields through new hover interactions. The enhancements provide overall speed and performance gains.

Spotfire Server Administration

Spotfire administrators are now able to set and manage licenses from the administration web UI. Licenses determine the features that members of a particular group can access.

Easier Spotfire Server Upgrades

Upgrading Spotfire Server is easier than ever with remodeled scripts structure, configuration files, and custom extensions. More of your settings are retained during server upgrades, and the upgrade tool can now be used for upgrading between service packs and deleting services as well.

These improvements have led to important changes in server directories. For more details, see Community.

More Usability Enhancements for Spotfire Server

Spotfire Server now supports custom display names as alternative URLs to the server, making it easier for users to locate the servers to connect to. Within Users and Groups, it's also now possible to search for Group members.

Additionally, it's now possible to configure the web player to capture either small or large dumps when it is nonresponsive.

There is also a new action log category for licenses: exclude_license. It indicates that the license feature was removed from the group's enabled license.

03 / 2019
10.2

SAP HANA 2 support

The SAP HANA connector now supports SAP HANA 2. The connector supports both relational and multidimensional data.

Azure SQL and SQL Server authentication and authorization updates

When using Spotfire connector for Azure SQL and SQL Server, now you can specify the database manually, removing the need to have access to the master database to connect to the database.

Change data and header row height in tables, cross tables, graphical tables, and details-on-demand

You can now change the row height in table visualizations and details-on-demand by dragging with the mouse. It makes it easier to create better looking, more readable tables.

Library API for SBDF file upload

A new REST API lets external applications upload SBDF-formatted data to the Spotfire library. You can then easily access the data in multiple Spotfire analysis files using any Spotfire client connected to the same Spotfire library.

Go to page in titled tabs navigation mode

For analyses using the titled tab navigation mode, Spotfire Consumer users can now navigate to any page using a drop down. This makes it faster and easier to go the desired page.

The in-memory data engine now supports lag and lead functions

The Spotfire in-memory data engine now supports lag and lead functions.

API for graphical table column header height

You can now use the .Net API to configure the number of lines of text in a graphical table column header.

API to export data as CSV files

In addition to today's tab separated files, the .Net API for exporting data files now supports .csv formats with values separated by commas or semicolons.

02 / 2019
10.1

Easier to sort by multiple columns in tables

Just use the contextual header popover, opened by clicking the table header.

Scroll new marking into view

When adding a new marking in the data section of the visualization properties dialog, the list of markings is now auto-scrolled so the new marking will be in view. This makes it easier to manage multiple markings when there are many in the analysis.

New map chart controls

The map controls have been redesigned and are now visually cleaner and keep the functionalities grouped logically.

Remove rows inline in filters or with the new data transformation

A new row "filter rows" data transformation enables you to remove rows based on what you have selected in filters. If you know the values you have selected in a filter are the only ones of interest, you can remove all other corresponding values (rows) with one click. This automatically creates the new transformation, automatically documented in the data canvas, and editable as any other data transformation type.

You can also insert a filter rows transformation manually from the summary view when adding imported data, or later from the canvas.

Further, you can remove rows based on dates by accessing the expression editor through the data canvas.

Export data as comma-separated files (.csv)

You can now export data to .csv files with values separated by commas or semicolons in addition to today's spaces and tabs. This makes it easier to import data that has been wrangled in Spotfire into other programs that sometimes only support these delimiters. Just use Export > Data to file like before.

Reload both linked and stored data sources in one step in Spotfire Analyst

It's now possible to reload not only all linked data sources as before, but also stored data sources, from the Data menu of Spotfire Analyst. When using stored data sources this is useful because they usually just need to be refreshed periodically.

You can also reload linked and stored data sources via the Spotfire API, when, for example, you want to add custom reload buttons in a text area to be used by Spotfire Consumer web client users.

Multi-select tables to reload in data table properties

It's now possible to trigger a reload of multiple data tables at once from the Data Table Properties dialog.

Overview of selected prompt values in the data canvas

You can now review the values selected in prompts by looking at the information for the data source node in the data canvas. Previously, you had to reload your data to review the selected prompt values.

Today() in-memory data engine function

This function is similar to DateTimeNow() and returns the current date. It is available in Spotfire Analyst and Business Author and can be used in both calculated columns and custom expressions.

Edit transformation dialog now scrolls added or modified transformations into view

When a transformation is added or modified, the scroll position is now kept so the added or modified transformation is still visible. When a transformation is deleted, the scroll position is retained so you get a confirmation of the operation.

The transformation calculate and replace column now always sets the default column name

When adding a calculate and replace column transformation, the default column name is now automatically set to the selected column name.

New database versions supported by self-service connectors

Spotfire native connectors now support the following new database versions:

  • Microsoft SQL Server 2017
  • Oracle 18c
  • Oracle MySQL 8.0
  • TIBCO Data Virtualization 8
  • Vertica 9.x

Please use the corresponding connector to connect to the above data sources.

API to reload linked and/or stored data sources

You can now reload individual data sources, both linked and stored, via the Spotfire C# API. This is useful, for example, when you want to add custom reload buttons in a text area to be used by Spotfire Consumer web client users.

Allow for empty values in custom row methods

The Spotfire C# API now allows for empty values to be propagated to custom row method implementations. Empty values may, in many cases, have special meaning, and with this API addition, those cases can now be handled in a custom row method.

API to configure the AutoCreateFilters property on a data table

It is now possible, via the Spotfire C# API, to configure the AutoCreateFilters property on a data table. By setting the property to false (default is true) users can manage filters manually and decide whether or not they want to create filters for certain columns.

API to rename, copy, and move items in the Library

The Spotfire C# API has been extended with operations to rename, copy, move, and set metadata (description, keywords, and properties) on library items. These operations can be called from custom extensions or from IronPython scripts.

Look up Automation Services jobs via the API

Now you can use the Spotfire C# API to browse for Spotfire Automation Services jobs stored in the Spotfire library directly from the LibraryManager class or using the LibraryBrowserDialog UI.

New runtime parameters for custom tasks in Spotfire Automation Services

The Automation Services API now provides the following runtime parameters for custom tasks:

  • Information about which context a job is executed in, on the server or locally in the client. This enables custom tasks to execute differently depending on the context.
  • File path to running job.

Updated Java User Directory API

The new version of the Java User Directory API is easier to use with more capabilities, giving it the same options as the User Directory web service:

  • Set display name and email address when creating users and groups.
  • Update display name and email address for a user or group.
  • Improve search for users and groups.
  • Enable/disable a user.
  • Lock/unlock a user.

New Filter Rows Transformation

The Spotfire C# API now exposes FilterRowsTransformation, used to filter out rows that don't match the given expression. The more generic ExpressionTransformation now includes a where clause property. This API is useful when you want to add transformations to a data table using IronPython scripts or custom extensions.

11 / 2018
10.0

Search for Building Visualizations

You can build visualizations from the new search bar. Type, for example, "Sales per region and year" and the Spotfire systems respond with recommendations for visualizations.

Search for Marking Values in your Data

Search and mark values in your data from the new search bar. For example, if you are looking for the sales of a specific sales rep or sales in a specific country, just type in the name and the Spotfire system will mark it.

Search to Drive your Analysis

The search bar also lets you search and run virtually any Spotfire functionality. For example, add a calculated column or similar, even for data stored in the library.

AI-powered Recommendations

Visualization recommendations powered by AI and machine learning help you find relationships in the data. If you select a column in Data in Analysis, the Spotfire system now shows recommended visualizations, including other columns that seem likely to have a relationship to the selected column.

New User Interface

A completely reimagined user experience with a beautiful interface makes it easy to find and work with all functions and tools.

One Place for Connecting to Data

A completely reimagined user experience with a beautiful interface makes it easy to find and work with all functions and tools. "Files and Data" lets the user browse and search for all kinds of data sources, files, data functions, data connections, custom data sources, etc., both locally and in the library.

One Place for Data in Analysis

"Data in Analysis" lets the user see details about the selected column, such as the distribution of values, max, min, unique values, etc., and access various functions for columns.

One Place for Visualizations

"Visualizations" lets the user choose a visualization type and drag-and-drop it on the visualization area.

One Place for Viewing Data Workflow

"Data Canvas" is where users can review and author the data pipeline for each data table in the Source View. Access it using the icon at the bottom of the Authoring bar on the left.

Visual Analytics for Real-time Data

By connecting to the new Spotfire Data Streams software, or TIBCO Live Datamart, Spotfire Analyst can now visualize data from dozens of streaming sources such as Kafka, MQTT, Salesforce Streaming, WITS, OsiPi, many capital market exchanges, and of course, other TIBCO technologies such as TIBCO Messaging.

Limit Streaming Data to a Time Range

For streaming data, you can limit the time range shown in the visualization to the last N minutes or any other time range you want to see.

New Drag-and-Drop Visuals for Visualizations

When creating a visualization from the visualizations flyout, chose one from "Search or Recommended Visualizations" and drag it where you want it on the canvas.

Configurable Preferred Aggregation Method in Spotfire Visualizations

Set a preferred aggregation method for individual columns, but also a globally preferred aggregation for numerical columns.

Add User Name and/or TimeStamp in Prepared PDF Reports Header or Footer

The prepared PDF reports can now be configured to display the current user and/or the current time in the header or footer.

Change Coordinate Reference System in Spotfire Business Author

Spotfire Business Author users can now configure the coordinate reference system (CRS) and projection of a map chart and its associated layers.

Geocoding Coverage Updates

Over 160,000 new cities are now available worldwide. New administrative areas are supported for the US that include area code, borough, CBSA, congressional district, and school district.

The Summary View for Data Wrangling

When adding and replacing data, the Summary View will not only show you how your data will be added, it will also recommend how data should be added.

Define Add Columns and Add Rows without Waiting for Data to Load

Since the Summary View is displayed before data is loaded, you are now able to define Add Columns and Add Rows operations without loading one of the data tables into memory first.

Recommended Add Rows while Adding Data

The recommendation engine is built right into the Summary View and will run across all listed tables. This allows the recommendation engine to work across tables not yet loaded into the analysis file.

Add Columns with Recommended Column Matches while Adding Data

Just like with Add Rows recommendations, you can configure Add columns in one step, before loading data.

Recommendation Engine Support for Links Between Tables

The visualization recommendation engine is now an integrated part of the data panel. There is also a new type of recommendation available, recommended table links.

Categorization of In-database Columns in the Data in Analysis

As with in-memory data tables, in-database data tables are now easier to navigate because their columns are automatically categorized and grouped by numbers, categories, currency, time, location, identifiers, and binary.

Apache Drill Support

A native connector for Apache Drill is now included, available in the "Connect to" list in the Windows Spotfire Analyst client. The connector works in conjunction with the MapR Drill ODBC driver.

Dremio Support

A native connector for Dremio is now included, available in the "Connect to" list in the Windows Spotfire Analyst client. The connector works in conjunction with the Dremio ODBC driver.

New Connector List

A new way to list connectors makes it easier to find the data source you want to connect to. Each connector also has updated help text that helps you instantly find details on working with the connector.

Data Tools Consolidated into One Menu

All data-related menu items are now moved to a Data menu.

Scheduling Automation Services Jobs

In the new Automation Services area of the administration interface, you can schedule Automation Services jobs and monitor the activity of all Automation Services jobs that are run in your Spotfire environment.

The TERR Service

The TERR service is now available as part of the Spotfire environment, along with the existing Web Player service and Automation Services.

Improved Scheduled Update Job Handling

Scheduled update jobs that cannot be immediately run are now all queued on the Spotfire Server for distribution to Spotfire Web Player instances as they become available. This results in a more robust routing of jobs than before when each service maintained its own job queue after its maximum number of concurrent updates was reached.

Node Manager Performance Monitoring

At the DEBUG logging level, the node manager now produces a performance.monitoring.log file that is similar to the server log file with the same name.

New Commands for Server and Administration

The create-scheduled-jobs command creates scheduled Automation Services jobs from a local JSON file that is created by the administrator. That remove-config-property command modifies the configuration.xml file to remove the value(s) of a specific configuration property.

Preferred Aggregation Method

An API can get or set the preferred aggregation method to be used by plot heuristics when creating aggregated expressions from a data column.

Default Layers for Map Chart

An API can load the default layer, for example, base map layer, TMS layer, or feature layer, when configuring a map chart.

08 / 2018
7.14

Insert Rows, Columns, and Data Transformations Before Other Nodes

Now rows, columns, and data transformations can be added anywhere within an existing data table structure.

New Salesforce Connector

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.

Cascading Filters are Now Available for In-Database Tables

Spotfire now supports cascading filters also when working with external data in relational databases.

Automatic Coordinate Reference Systems from Shapefile

Spotfire now automatically sets coordinate reference systems by recognizing the projection formats (.prj file) associated with Shapefiles.

More Coordinate Reference Systems

More coordinate reference systems are now supported with greater details.

New Connector Query Log

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.

Aggregate Calculated Measures in Oracle Essbase

You can now create visualizations that aggregate calculated Oracle Essbase measures.

Load Spatial Objects with Connectors for Oracle, Microsoft SQL Server, and PostgreSQL

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.

The SAP HANA Connector Now Supports all Connection Settings

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.

Microsoft Analysis Services Command Timeout Support

The maximum MDX query timeout limit can now be raised to allow for queries that take longer time.

Microsoft Analysis Services Username and Password Authentication Support

Username and password authentication is now supported for Microsoft Analysis Services.

Microsoft Azure Analysis Services Support

With the added support for username and password authentication you can now connect Spotfire directly to Microsoft Azure Analysis Services.

Amazon RDS SQL Server Support in Cloud Business Author

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.

JavaScript API Supports External/Web Authentication

With the new authentication mechanism, JavaScript API can be used on a Spotfire Server that is configured with any external/web authentication. For example, you can now create a mashup with a .dxp file located on the TIBCO Cloud Spotfire library.

API to Insert Data Operations

It is now possible to add data operations (AddRowsOperation, AddColumnsOperation or DataTransformationOperation) to any location within the data table structure (Source View).

06 / 2018
7.13

More responsive big data visualizations

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.

Automatically adjusted zoom sliders

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.

Color picker is now available in Spotfire Analyst

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.

Responsive page layout for mobile devices

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.

Column selectors look nicer

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.

Join data in the Spotfire Business Author web client

You can now add columns to a data table using Spotfire Business Author web client.

Edit joins from the Source View

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.

Edit on-demand settings on data source level

You can now quickly edit on-demand settings for each individual data source in a data table.

TIBCO Cloud Spotfire now supports Apache Spark SQL

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 supports Microsoft HDInsight Hive

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.

Support for Amazon EMR

TIBCO Cloud Spotfire and the Spotfire on-premise platform now support Amazon EMR via Hive and Apache Spark SQL.

Timeout setting for Cloudera Impala connector

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.

REST API to run Automation Services jobs

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.

OAuth2 support for the Web Service (SOAP) API

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.

Simplified workflow when building Spotfire .Net extensions

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.

Single distribution file

It is now possible to ship a bundled solution, containing several Spotfire packages, as a single distribution file (.sdn).

Work with multiple versions of Spotfire Analyst

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.

03 / 2018
7.12

Export prepared reports to PDF

It's easy to export one or more prepared reports to PDF in an open DXP file from the Export menu, as well as from the job builder in TIBCO Spotfire Automation Services.

Export themed Spotfire analysis to PowerPoint and Image

Now your visual theme is included when exporting, with a higher resolution making the visualizations and text clearer.

Maximize visualization temporarily

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.

Improved scrolling on mobile devices

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.

Fixed height or width of text areas and visualizations

Now you can fix the width or height of a text area or visualization, useful for avoiding scroll bars on small screens. The icon in the toolbar locks the settings, and the small icon menu provides more options.

Increased number of labels on scatter plots and maps

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.

Remove individual data sources

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.

Data source information now lists added and ignored columns

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.

The Teradata connector now supports macros

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.

The Apache Spark SQL connector now supports temporary views

As a Spark developer you might publish results of Spark jobs in temporary views. With this release of Spotfire, you can connect directly to those views using the self-service live query connector and instantly visualize the result.

Export to PDF with the Spotfire .Net API and JavaScript API

Now you can export a prepared PDF with the Spotfire .Net API, including custom workflows with C# extensions or IronPython scripts.

API to render pages and visualizations to PNG images

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.

WMS layer authentication including Spotfire .Net API support

The Spotfire .Net API now supports configuring a WMS layer with username and password.

API to remove data operation

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.