Downloads

Download and try SQLstream Blaze and experience the power of the industry’s leading stream processing platform.

SQLstream Blaze is available on Linux platforms for both evaluation and operational systems, and as a QuickStart VM for evaluation and trials on PCs and Macs.

  • Learn the basics of streaming SQL and stream processing.
  • Connect and visualize your machine data in minutes with StreamLab.
  • Build out your own streaming SQL applications with our library of log and machine data collection agents, and enterprise database adapters.
  • Plan your stream processing projects by analyzing your own data.

StreamLab: Intelligent data stream discovery and visualization without coding.

Our QuickStart VM contains the Blaze suite with the stream processing platform, s-Server, StreamLab for guided data stream discovery and analysis, and s-Dashboard for real-time dashboards.

The VM is distributed as an Open Virtualization Archive (OVA) for import into VirtualBox and VMware. The OVA is a single tar format file of the OVF package, containing the disk image as well as the metadata for machine configuration. The VM image runs Ubuntu 14.04.

The VM can be deployed on any host OS supported by VirtualBox and VMware, including Linux, OS X, Windows 7 and Windows 8.

All VM hosting platforms require a 64-bit host OS.

SQLstream Blaze includes everything you need to get up and running with your streaming data application, including:

  • StreamLab for guided data stream discovery and visualization.
  • s-Server, the distributed SQL stream processing platform.
  • s-Dashboard, HTML5 platform for real-time dashboards.
  • s-Visualizer, real-time dashboards for enterprise power users.
  • s-Studio for streaming SQL development and platform management.
  • Our library for machine data collection agents and adapters for log files, web feeds, sockets and other common machine data sources.
  • Enterprise integration adapters for Hadoop, Storm, databases and middleware platforms.
  • Example applications to get you up and running.

SQLstream Blaze server deployments require a 64-bit Linux OS.

Screenshot of s-Visualizer demo for streaming log analytics

Download the Blaze VM Appliance for VMware and VirtualBox

The VM can be deployed on any host OS supported by VirtualBox and VMware, including Linux, OS X, Windows 7 and Windows 8.

Platform Filesize Format Hash Bits
For VMware and VirtualBox 2.9GB .ova 85e0ac8a920d24ff8a34a56305d5fd6e Download OVA
  • All VMs are 64-bit and require a 64-bit host OS and a virtualization product that can support a 64-bit guest OS.
  • The Blaze OVA has been validated in VMware Player 7, VMware Fusion 7, VirtualBox 4.3 and Parallels Desktop 10. However, Parallels does not support a direct import of a .ova image. To run on Parallels, it is necessary to import the .ova image into VMWare or VirtualBox, and import the resulting virtual image into Parallels. Please contact Technical Support for further information.
Function RAM required by VM Cores required by VM OVA File Size
Demonstration & Familiarization 4 GB 2 (4 is better!) 3.1 GB
Development and Proof of Concepts 4 GB 4 3.1 GB

SQLstream Blaze 4.0.5 package, including:

  • s-Server 4.0.5 data stream management platform.
    • See the full product documentation for installation, getting started, integration and building streaming SQL apps on s-Server.
    • The s-Server package includes s-Studio, the Eclipse-based IDE and s-Server administration platform.
    • The s-Server package includes the machine data collection agents and enterprise integration adapters.
  • StreamLab for intelligent guided data stream discovery, analysis and real-time dashboards without coding.
  • s-Dashboard for building real-time, push-based dashboard on any device (HTML5).
  • s-Visualizer is available in the VM Blaze package but requires a separate license. On startup, s-Visualizer will prompt you to request a license key. Follow the instructions and a license key will be enabled. This can take up to 24 hours to complete.

Examples

An example demonstration for real-time log analytics based on a bank account fraud scenario is including in the VM package. Called Mochi, the example streaming SQL application reads phone server, web server and transaction logs in order to detect suspicious bank account activity. Scripts for running the demonstration are included.

The QuickStart VM should require no administration beyond managing the installed products and services, and watching for log file size increases on the example applications. Here’s some information on setup and installation to get started. In the event that additional administration is required or that problems occur, this page provides information on accounts and possible explanations and solutions to some common questions.

VM and Installation Setup

You will be logged in automatically on VM startup as the blazer user with sudo privileges in the VM. No password required. From there, please refer to the installation document for the complete set of instructions, however, a few prompts are provided below:

  • Step 1: Double click the ‘FIRST Install SQLstream s-Server’ icon to run the installation wizard. SQLstream Blaze is installed as user sqlstream, password sqlstream. To verify that s-Server is installed and running typing service s-serverd status in a terminal window should return Server is listening on port 5570.
  • Step 2: Double click ‘Run Mochi Demo’ to load and start the example application (may take up to 5 minutes to complete ). Confirm the installation as follows:
    • Command: ls -l /tmp/mochi (to view the sample server log files)
    • Response: Two log files are created and increasing in size (transaction.log and web_login.log)
  • Step 3: Launch the ‘View Mochi Demo’ to view the Mochi streaming analytics outputs in s-Dashboard. Four real-time streaming dashboards are included in the Mochi example. Click on the dashboard start icon to launch each dashboard.
  • Step 4: Get up and running with StreamLab. Launch the ‘Start StreamLab Server’ icon. Wait for StreamLab server is now running on port 5590 response than launch StreamLab from the ‘StreamLab’ icon. From here, refer to the online product documentation.
  • Step 5: Start up and explore the SQL code and streaming data with s-Studio.
    • Startup s-Studio from the desktop icon
    • Right click on ‘My First SQLstream Server’ in the Development or Management tabs, and select ‘Connect’ to connect to the s-Server instance.
    • Explore, for example, select Schema-Mochi-WebLoginEvents and select Inspect from the right-click menu.
    • Review the s-Studio documentation on the online product documentation.

Using VMware

To launch the VMware image you will either need a VMware Player for Windows or Linux, or VMware Fusion player for Mac. The latest versions of the players are recommended.

Using VirtualBox

No reported issues on Linux, Windows or OS X for VirtualBox 4.3.

Using Parallels Desktop for Mac

Parallels Desktop does not support the direct import of OVA tar files. The Blaze VM can be run on Parallels but must first be imported using VirtualBox or VMware to create a .vbi or .vmdk image, and the created image imported into Parallels. Parallels will convert the image to a native .pem image on import. Please contact technical support for further information and guidance.

Download Blaze for Linux installations

The Blaze server (s-Server) can be installed on most common linux distributions. The graphical tools (StreamLab and s-Dashboard) are browser clients, and the platform IDE and admin module (s-Studio) is available for Windows as well as Linux.

SQLstream Blaze

SQLstream Blaze suite is available in two download packages, s-Server and StreamLab. First, download and install the core s-Server package which contains the s-Server stream processing platform with s-Dashboard, s-Studio and s-Visualizer. Then download and install StreamLab on top.

Version Filesize Format MD5 Hash Link
SQLstream s-Server 4.0.5 209MB .run 093d2dae0f8ac7a23277cbf625e6ddb0 Download
SQLstream StreamLab 1.1 77MB .run 12b90915681794c0a8b955bcf461251b Download

Client Downloads for Windows

The Windows versions for s-Studio, JDBC driver and client tools are included with the core s-Server distribution above but are also available as separate downloads for larger scale rollout of user and test clients if required. The Client Tools distribution provides developers with the tools and drivers required to build and test SQLstream client drivers and connectivity. Client Tools includes the LogFile Agent for streaming log file data to the SQLstream server in real-time, and DataGen for generating test data streams.

Version Filesize Format Link
s-Studio for Windows (64-bit) 4.0.5 80MB .exe Download
s-Studio for Windows (32-bit) 4.0.5 80MB .exe Download
Client Tools for Windows (32 and 64 bit) 4.0.5 15MB .exe Download

Client Downloads for Linux

As for the Client Tools for Windows, the Linux versions of s-Studio, JDBC driver and the client tools are included with the core s-Server distribution above but are also available as separate downloads for larger scale rollout of user and test clients if required.

Version Filesize Format Link
s-Studio for Linux (64-bit) 4.0.5 80MB .run Download
Client Tools for Linux (32-bit) 4.0.5 33MB .run Download
Client Tools for Linux (64-bit) 4.0.5 33MB .run Download

SQLstream s-Server

  • A 64-bit version 2.6 or later Linux kernel distribution with Libc version 2.5 or later is required to install and run the core s-Server stream processing platform. Validated Linux kernel distributions:
    • CentOS 5.x and 6.x
    • Mageia 3
    • Redhat Enterprise Linux 5.x and 6.x
    • Ubuntu 10.04 LTS (Lucid Lynx)
    • Ubuntu 12.04 LTS (Precise Pangolin)
    • Ubuntu 12.10 LTS (Quantal Quetzal)
    • Ubuntu 13.04 (Raring Ringtail)
  • JDK version 7 Update 25 or later.
  • Minimum 4GB RAM with 2GB of available disk space.

SQLstream s-Studio

  • Windows 8.0, Windows 8.1, Windows 7 and Windows Vista. Both 32-bit and 64-bit versions are supported.
  • Linux – as per supported Linux distributions for s-Server.
  • A 32-bit or 64-bit JRE (as appropriate for the host OS) version 7 update 25 or later.
  • Minimum 2GB RAM with 1GB of available disk space.

SQLstream Blaze includes

  • SQLstream s-Server 4.0.5 data stream management platform.
    • See the full product documentation for installation, getting started, integration and building streaming SQL apps on s-Server.
    • The s-Server package includes s-Studio, the Eclipse-based IDE and s-Server administration platform.
    • The s-Server package includes the machine data collection agents and enterprise integration adapters.
  • SQLstream StreamLab for intelligent guided data stream discovery, analysis and real-time dashboards without coding.
  • SQLstream s-Dashboard for building real-time, push-based dashboards on any device (HTML5).
  • SQLstream s-Visualizer is included in the s-Server package but requires a separate license. On startup, s-Visualizer will prompt you to request a license key. Follow the instructions and a license key will be enabled. This can take up to 24 hours to complete.

Examples

An example demonstration for real-time log analytics based on a bank account fraud scenario is included in the Blaze package. Called Mochi, the example streaming SQL application reads phone server, web server and transaction logs in order to detect suspicious bank account activity. Scripts for running the demonstration are included.

Getting up and running with SQLstream Blaze

  • Step 1: Download and install the SQLstream s-Server package.
    Please follow the steps in the SQLstream Blaze Installation Guide to install the s-Server package. You will then have installed the following products:

    • SQLstream s-Server with APIs, data collection agents and enterprise integration adapters
    • SQLstream s-Dashboard
    • SQLstream s-Visualizer
    • SQLstream s-Studio
    • Client tools for test and development
  • Step 2: Download and install SQLstream StreamLab
  • Please follow the steps in the Install StreamLab section in the SQLstream s-Server Installation Guide.

  • Step 3: Double click ‘Run Mochi Demo’ to load and start the example application (this may take up to 5 minutes to complete). Confirm the installation as follows:
    • Command: ls -l /tmp/mochi (to view the sample server log files)
    • Response: Two log files are created and increasing in size (transaction.log and web_login.log)
  • Step 4: Launch the ‘View Mochi Demo’ to view the Mochi streaming analytics outputs in s-Dashboard. Four real-time streaming dashboards are included in the Mochi example. Click on the dashboard start icon to launch each dashboard.
  • Step 5: Get up and running with StreamLab. Launch the ‘Start StreamLab Server’ icon. Wait for StreamLab server is now running on port 5590 response than launch StreamLab from the ‘StreamLab’ icon. From here, refer to the StreamLab Guide.
  • Step 6: Start up and explore the SQL code and streaming data with s-Studio.
    • Startup s-Studio from the desktop icon
    • Right click on ‘My First SQLstream Server’ in the Development or Management tabs, and select ‘Connect’ to connect to the s-Server instance.
    • Explore, for example, select Schema-Mochi-WebLoginEvents and select Inspect from the right-click menu.
    • Review the s-Studio documentation on the online product documentation.