Supported Configurations

This topic describes the hardware and software configurations supported in TIBCO® Spotfire Data Streams release 10.4.4.

Operating systems

TIBCO Spotfire Data Streams supports Windows and macOS platforms for development, and supports Windows and Linux platforms for production deployment. MacOS platforms are not supported for build or production servers. In all cases, these are 64-bit platforms running on Intel or AMD x86_64 hardware.

The StreamBase Studio development environment is supported on:

  • Microsoft Windows client platforms, in 64-bit editions only:

    • Windows 7 Professional

    • Windows 8.1 Professional

    • Windows 10 Professional

  • Windows Server platforms:

    • Microsoft Windows Server 2012 R2

    • Microsoft Windows Server 2016

  • macOS platforms:

    • macOS 10.11 El Capitan

    • macOS 10.12 Sierra

    • macOS 10.13 High Sierra

    • macOS 10.14 Mojave*

The StreamBase Runtime for build or staging servers and for production deployment is supported on the following platforms:

  • Red Hat Enterprise Linux Server 7**

  • Red Hat Enterprise Linux Server 6 (deprecated)

  • CentOS Linux 7**

  • Oracle Linux 7**

  • Amazon Linux 2 on Amazon EC2

  • Microsoft Windows Server 2012 R2

  • Microsoft Windows Server 2016

On Red Hat platforms, TIBCO supports and recommends Red Hat Enterprise MRG Realtime for deployments that require low-latency processing.

For all Linux systems, see the Perl, Zip, and compatibility library requirements below.

The StreamBase Runtime is explicitly not supported for build, staging, or production deployment on:

  • macOS

  • Windows client platforms (as listed above)

In all cases, TIBCO Spotfire Data Streams supports the latest service packs and operating system updates.

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*macOS 10.14 Mojave's Dark Mode and similar cosmetic features are not currently supported in Studio due to Eclipse compatibility issues. Also, when first selecting the Open StreamBase Command Terminal Here feature in Studio, you are prompted for permission to control the terminal. This is expected behavior.

**On RHEL 7 and its related distributions, the recommended installation procedure is the archive-bin method. There are known issues when using the RPM installer.

Processor Architectures TIBCO Spotfire Data Streams runs on Intel and AMD 64-bit x86_64 processors. For all Intel processors, hyperthreading is supported. For Intel and AMD processors, multiple CPU cores are supported and encouraged.
JDK requirements for running applications

StreamBase Studio and the StreamBase Runtime require an installation of Oracle JDK 8.

On all supported operating systems, the TIBCO Spotfire Data Streams installation kit provides the runtime components of Oracle JDK version 1.8.0_212 in a subdirectory of the StreamBase installation directory, in order to run StreamBase program fragments and applications from within StreamBase Studio.

However, starting with Spotfire Data Streams release 10.4.0, StreamBase Studio detects and prefers a system-installed Oracle JDK version 8 over the bundled JDK. Using a system-installed JDK allows you to take advantage of cryptography features of the JDK that TIBCO is not licensed to include with Spotfire Data Streams and allows you to manage JDKs independent of StreamBase.

See Installing a JDK for further information.

Java requirements for mvn

The mvn command shipped with StreamBase runs with Java and must be able to locate a java command in the PATH or in standard installation locations. The system Java JRE detected by the mvn command is not required to be from the same 1.8 release family required by Studio and the StreamBase Runtime. However, TIBCO recommends using the same Oracle JDK release for your system-level JDK as the one shipped with Studio, or a newer release. See Installing a JDK for further information.

JDK Cryptography Features Due to licensing restrictions, the runtime components of the Oracle JDK bundled with TIBCO StreamBase do not contain Elliptical Curve Cryptography functionality (SunEC). This is a feature of Oracle Java, available from a Java Cryptography Architecture provider.

In particular, if your site’s Kerberos server infrastructure uses stronger encryption levels (such as AES-256) than the ones supported by the standard Oracle JDK shipped with StreamBase, you may need to download and install the Java Cryptography Extension Unlimited Strength package from Oracle. Consult with your site's Kerberos administrators for site-specific requirements.

When configuring TLS, TIBCO strongly recommends installing a provider such as BouncyCastle or the official Oracle JDK, to enable the modern and generally recommended ECDHE ciphers.

See Installing a JDK for further information.

JDK requirements for compiling client applications To compile your own StreamBase Java clients , custom functions, or custom operators with the StreamBase Java Client library, your development host must have Oracle JDK 8. TIBCO recommends that you compile with the same JDK version as the one bundled with your StreamBase installation, described in previous rows.
LiveView Web version TIBCO LiveView Web Standard Edition is included with TIBCO Spotfire Data Streams. This provides the runtime component of LiveView Web, lvweb.war, which is automatically installed in new LiveView project folders by default. The version of this bundled LiveView Web release is 1.4.1.
RAM
  Minimum Recommended
StreamBase development:  2 GB 4 GB or more
LiveView development:  2 GB 8 GB or more
StreamBase and LiveView production:  Determined value*  Determined value* 

*For production servers, determine the appropriate RAM amount from peak-load and volume testing on your staging servers.

Screen resolution To use StreamBase Studio, your monitor's screen resolution should be at least 1280 x 768 pixels. Higher resolution settings and multiple monitor configurations are strongly recommended.
Web browsers for LiveView JavaScript API Web browsers supported for viewing pages that use the LiveView JavaScript API are:
  • Google Chrome

  • Mozilla Firefox

  • Microsoft Edge on Windows 10

  • Apple Safari 9 or later

Web browsers for documentation Web browsers supported for viewing the online StreamBase documentation, are:
  • Google Chrome

  • Mozilla Firefox

  • Microsoft Internet Explorer 11

  • Microsoft Edge on Windows 10

  • Apple Safari 9 or later

There is an exception for the .NET Client API documentation, which is only provided on Windows systems. To view this documentation without complications, you must use Firefox or a Microsoft-provided browser. This page of the documentation describes the workarounds available for Webkit-based browsers such as Chrome or Opera.

Disk capacity The disk space requirements for TIBCO Spotfire Data Streams can be considerable, and are described on a separate page, Disk Space Calculations.
Perl Perl is required by OpenSSL on Linux and macOS platforms. Perl is shipped with macOS, but barebones installations of Linux may not have it. Be sure to install Perl on all supported Linux hosts. Perl is not required on Windows platforms.
Zip On all supported Linux platforms, make sure the zip and unzip commands are installed and available on the PATH.
Linux compatibility libraries RHEL 6 servers require the compat-expat1 package as well as the RHEL 7 packages.

RHEL 7 servers and their compatibles require the gdb and sysstat packages in addition to perl and zip.

For all RHEL compatible Linux servers, use the yum package manager to verify that these packages are installed. For example, yum list gdb.

To install a package, use commands like the following:

sudo yum install perl.x86_64
sudo yum install zip.x86_64
sudo yum install unzip.x86_64
sudo yum install gdb.x86_64
sudo yum install sysstat.x86_64
External JDBC-compliant databases TIBCO supports interaction with JDBC-compliant (2.0 or later) external databases:
  • Oracle 11g, 12c

  • Microsoft SQL Server 2012

  • MySQL 5.x

  • Vertica 7.0-7.5.5

  • Teradata 15

StreamBase applications can interact with supported external databases as follows:

  • Your applications can use the JDBC Table data construct in an EventFlow diagram. For details, refer to JDBC Data Source Overview in the Authoring Guide.

  • You can use a table in a JDBC database as a data source for a feed simulation, as described in Feed Simulation with a JDBC Data Source.

  • The Change Data Capture adapter is not covered by this list and has its own list of supported databases.

LiveView Server JDBC metadata store The LiveView server supports three ways to store its metadata: its default H2 database, transactional memory, or a JDBC-compliant database. The following JDBC databases are supported for this purpose:
  • Oracle 11g, 12c

  • Microsoft SQL Server 2012

  • MySQL 5.x

Native database connectivity TIBCO StreamBase supports interaction with certain databases using a high-performance interface that uses the database vendor's connectivity API instead of JDBC. The event-store database for which StreamBase provides native connectivity support is:
  • Vertica 5.0 or 5.1. For Vertica 5.1 native connectivity, the StreamBase adapter requires the Vertica 4.1 Java client library (vertica_4.1.xx.jdk_5.jar).

Building StreamBase C++ custom clients on Linux and macOS TIBCO StreamBase requires GCC 4.1.x through GCC 4.5 for building C++ clients on Linux. For further information, see Creating C++ Clients in the API Guide.

StreamBase does not support building clients with GCC 4.6 or newer, which are the default compilers on newer Linux distributions. On such distributions, install GCC and G++ 4.5 from your distribution's repository, and set the CC and CXX environment variables before building StreamBase C++ code. For example, set CC=gcc-4.5 and CXX=g++-4.5.

To build C++ clients on macOS, install the latest Xcode version and the Command Line Tools for Xcode released for your macOS version. (These are free downloads, but require an Apple ID.) The Command Line Tools package provides the clang compiler. On macOS, building custom functions are not supported.

Building StreamBase C++ custom clients on Windows

To compile C++ StreamBase client applications for Windows, TIBCO StreamBase supports:

  • Visual Studio 2012 (Visual C++ 11.0)

See Configuring Visual C++ for instructions on configuring your Visual C++ projects for use with the StreamBase C++ API.

Building .NET clients on Windows To develop StreamBase client applications in C# .NET, TIBCO StreamBase supports Visual Studio 2010 (deprecated), 2012, or 2013 for C# development.
.NET framework version requirements To run .NET client applications, the target machine must have the .NET framework 4.0 or later, plus a pair of StreamBase assemblies and supporting DLLs that are installed as part of your StreamBase installation. For target machines that do not have StreamBase installed, you only need to distribute the two assemblies and two Microsoft DLLs along with your .NET client application to run, as described in Deploying .NET Clients.
Python Client API The StreamBase Python Client API supports Python 2.6 or 2.7 on Linux and Windows only. For Windows, install a third-party Python distribution such as ActiveState Python. Make sure the python command is on the PATH.
Python Support for Python Operators The TIBCO StreamBase® Operators for Python, and Python Instance are both compatible with the Python versions described in Python Compatibility.
Embedded Adapters

Adapters are programs that convert data to and from the StreamBase tuple protocol.

Embedded adapters execute in the same StreamBase Runtime process that runs your StreamBase program fragment. The base TIBCO StreamBase installation includes a large collection of embedded adapters, described in the Adapters Guide.

Most embedded adapters are Java-based, and run on all platforms that support the StreamBase Runtime. Embedded adapters that make calls to third-party native libraries are restricted to the platforms for which such libraries are provided.

Spreadsheet software

The TIBCO StreamBase® Add-in for Microsoft Excel lets you use a StreamBase or LiveView application in combination with an Excel spreadsheet to process tuple data in real time and to display the data dynamically. The Excel Add-in is bidirectional and can both receive data from an application and publish data to a running application.

The Add-in is only supported on Windows platforms. To use it, you must have Excel 2007, 2010, 2013, or 2016.

The Add-in is distributed in both 32-bit and 64-bit versions; match these to the bitness of your Microsoft Office installation, not the bitness of your Windows installation.

The Excel Add-in is packaged separately from TIBCO StreamBase. If you have a license for it, you can download, install, and run the Add-in. To acquire a license, contact your TIBCO Sales representative.

TIBCO Rendezvous messages StreamBase supports TIBCO Rendezvous with a set of embedded adapters.

The adapters take advantage of the tibrvj.jar JAR file distributed with your Rendezvous installation. Thus, the StreamBase Rendezvous adapters support the Rendezvous version of the customer-provided JAR file.

TIBCO ActiveSpaces

The StreamBase operators for TIBCO ActiveSpaces support ActiveSpaces 3.0 and later, including 4.x.

StreamBase includes a separate set of legacy operators, now deprecated, to support ActiveSpaces 2 releases, starting with version 2.1.

TERR TIBCO® Enterprise Runtime for R Developer Edition included with StreamBase is TERR release 4.4. The Developer Edition is licensed for developer evaluation purposes only.

Thomson Reuters RMDS

StreamBase adapters for Thomson Reuters support RMDS 6 infrastructure components. Consult with your TIBCO Software representative for the latest information on Thomson Reuters API support.

Note

Because of limitations in third-party libraries, StreamBase running on 64-bit Linux or 64-bit Windows does not support SASS3 connections to Thomson Reuters RTIC servers.

Apache Hadoop Libraries The Apache Hadoop libraries used by several StreamBase adapters is version 8.2.1.
Apache Kafka components The Apache Kafka adapter suite is built against version 2.1.0 of the Apache Kafka libraries using Scala 2.11.12.
Spark MLlib library version Tested primarily with Spark MLlib version 2.
H2O library version Tested with H2O library version 3.20.0.2.
JPMML library version Tested with JPMML library versions 1.3.7, PMML specification versions 3.0, 3.1, 3.2, 4.0, 4.1, 4.2 and 4.3.
Google Protocol Buffers library version Tested with library version 3.6.1.
eFTL library version Tested with library version 3.4.0.
FTL library version Tested with library version 3.1. StreamBase FTL adapters are also compatible with higher versions (such as 5.0 and higher including 6.x).
MQTT library version Tested with library version 1.2.1.