• SQLstream s-Streaming Big Data Engine Benchmarks at 1.35 Million Streaming Events Per Second per 4-core server  – Outperforming Twitter’s Storm Stream Computation Project with Significant Overall TCO Advantage

New York, NY | March 20, 2013– SQLstream Inc., the Streaming Big Data Company, announced today at GigaOM’s Structure:Data, the results of an independent performance benchmark which measured the SQLstream s-Server 3.0 Big Data Engine processing 1.35 million 1Kbyte records per second per 4-core commodity server, outperforming a comparable configuration based on the Twitter Storm distributed real-time computation system. SQLstream’s s-Server outperformed the Storm-based solution by a factor of 15x.

SQLstream’s s-Streaming Big Data Engine delivers action-oriented analytics, extracting operational intelligence in real-time from high velocity, unstructured log file, sensor and other machine-generated data. Streaming intelligence can be persisted, queried and replayed in Hadoop, with additional connectors to all major storage platforms and data warehouses.

The streaming Big Data benchmark was conducted by a large enterprise with a roadmap to stream unstructured operational data from multiple remote log and machine data flows at up to 10 million records per second for each installation. The benchmark requirement was to perform advanced time-series analytics over mobile network infrastructure records in order to predict potential service-impact problems. The benchmark projects that the s-Server platform would require just eight servers to scale up to 10 million records per second — versus an estimated more than 110 servers for the comparable Storm approach.

SQLstream s-Server 3.0 was able to demonstrate significant cost savings with dramatically lower TCO. The TCO savings came from a combination of reduced hardware and power consumption, the power and simplicity of SQL over low-level Java development, plus reduced maintenance requirements. Other factors influencing SQLstream s-Server’s TCO advantage came from its integrated Big Data platform architecture, ability to update on the fly as new data flows are incorporated, significantly faster implementation timescales using SQL for streaming analytics and integration, and automatic platform optimization for turbo-charged performance and parallel dataflow execution.

“SQLstream excels through the combination of its mature, industry-strength streaming Big Data platform, our support for standard SQL (SQL:2008) for streaming analysis and integration, plus a flexible adapter and agent architecture,” said SQLstream CEO Damian Black. “SQLstream s-Server is today’s clear streaming performance winner – with blazingly fast throughput, an ability to handle a wide variety of message types, sources and formats, and an efficient Streaming Data Protocol with compact optimized binary data formats.”

Advantages of SQLstream’s s-Server, the core element of the company’s s-Streaming Big Data Engine, as demonstrated in the performance benchmark project include:

• Scaling to a throughput of 1.35 million 1Kbyte records per second per four-core server each fed by twenty remote streaming agents.
• Expressiveness of the standards-based streaming SQL language with support for enhanced streaming User Defined Functions and User Defined Extensions (UDF/UDX).
• Deploying new processing analytics pipelines on the fly without having to stop and recompile or rebuild applications.
• Advanced pipeline operations including data enrichment, sliding time windows, external data storage platform read and write, and other advanced time-series analytics, all based on existing SQL standards.
• Advanced memory management, with query optimization and execution environments to utilize and recover memory efficiently.
• Higher throughput and performance per server for lower hardware requirements, lower costs and simple to maintain installations.
• Proven and mature enterprise-grade product with a validated roadmap and controlled release schedule.

All required modules used in the benchmark were integrated with s-Server 3.0, using 20 remote streaming agents connected per SQLstream s-Server instance each running on a four-core Intel® Xeon© server platform with RedHat Enterprise Linux.

About SQLstream

SQLstream (www.sqlstream.com) is the pioneer and innovator of a patented Streaming Big Data Engine that unlocks the real-time value of high-velocity unstructured machine data. SQLstream’s
s-Streaming products put “Big Data on Tap™ – enabling businesses to harness action-oriented and predictive analytics, with on the fly visualization and streaming operational intelligence from their log file, sensor, network and device data. SQLstream’s core V5 streaming technology is a massively scalable, distributed platform for analyzing unstructured Big Data streams using standards-based SQL, with support for streaming SQL query execution over Hadoop/HBase, Oracle, IBM, and other enterprise database, data warehouse and data management systems.  SQLstream’s headquarters are in San Francisco, CA.

• “Four For The Future: Upcoming Database Technologies” Session to be Held at GigaOM Structure:Data on March 21^st at 4:40PM ET

San Francisco, CA | March 14, 2013 – SQLstream Inc., a pioneer of the streaming Big Data engine for real-time operational intelligence, today announced that SQLstream CEO Damian Black will speak about innovative real-time Big Data technologies at GigaOM’s Structure:Data 2013, March 20-21.

Held on Pier Sixty, The Chelsea Piers in New York, and now in its third year, Structure:Data  gathers data scientists, business leaders and investors interested to learn more about the emerging business opportunities for Cloud and Big Data. Damian will speak on the invitation-only panel session Four For The Future: Upcoming Database Technologies at 4:40PM ET on Thursday, March 21.

Damian will be discussing the emergence of SQL for Big Data, and more specifically, SQL as a streaming language for low-latency, real-time operational intelligence in a Hadoop environment. Damian was selected for the panel because of his pioneering work in real-time and Big Data software. SQLstream’s s-Streaming products transform log, sensor and other machine-generated data into streaming operational intelligence in real-time. Its core streaming Big Data architecture is built on a massively parallel platform for processing high velocity machine data. Streaming intelligence can be persisted, queried and replayed in Hadoop, with additional connectors to all major storage platforms and enterprise data warehouses if required.

SQLstream CEO Damian Black has participated in many GigaOM events, including the first ever Big Data panel session at GigaOM Structure 2008. “It’s always a pleasure to speak at a GigaOM and to engage with an audience at the forefront of Big Data,” said Damian Black. “Real-time is the next wave of Big Data, and SQLstream is the future of true real-time business decisions. Real-time is only a streaming SQL query away.”

If you are a member of the press or analyst community and are interested in setting up a meeting with SQLstream at GigaOM Structure:Data, please contact Ronnie Beggs via email at ronnie.beggs@sqlstream.com.

About SQLstream

SQLstream (www.sqlstream.com) is the pioneer and innovator of a patented Streaming Big Data Engine that unlocks the real-time value of high-velocity unstructured machine data. SQLstream’s s-Streaming products put “Big Data on Tap™ – enabling businesses to harness action-oriented analytics, with on-the-fly visualization and streaming operational intelligence from their log file, sensor, network and device data. SQLstream’s core V5 data streaming technology is a massively scalable, distributed platform for analyzing unstructured Big Data streams using continuous SQL, with support for streaming SQL query execution on Hadoop and other enterprise database, data warehouse and data management platforms. SQLstream’s headquarters are in San Francisco, CA.

Resources

GigaOM Structure:Data 2013 agenda

GigaOM Structure:Data 2103 registration

SQLstream GigaOM Structure:Data 2013 Damian Black interview

Developed to Meet Demand from Universities and Supercomputing Centers

San Francisco, CA | February 20, 2013 – SQLstream, a pioneer of real-time Big Data, today announced an extension to its partner program that helps to fulfill the growing need for real-time data processing systems in supercomputing centers and academic cyberinfrastructure facilities.

The SQLstream University Partner Program (UPP) addresses educational institutions looking to expand research into streaming Big Data concepts by offering a non-commercial, royalty-free license to its market leading real-time analytics platform.

The Cornell University Center for Advanced Computing (CAC) headlines the growing list of UPP organizations using SQLstream’s streaming analytics platform to gain real-time insight into massive volumes of data. CAC is one of 17 partner institutions in the Extreme Science and Engineering Discovery Environment (XSEDE), a single virtual system that scientists can use to interactively share computing resources, data and expertise.

“Too many computing systems producing too many logs too quickly are unmanageable,” says Lucia Walle of Cornell University CAC. “SQLstream provided the real-time data mining system compatible with our local business logic that allows CAC to find events of importance using Sisyphus and queries, accurately simulate logs including the scale and pace of log activity, and monitor both simulated and actual system logs so that we can gain reliable insight into the cause and imminence of system failures before they actually occur.”

All UPP members have access to the full suite of SQLstream server technologies and have access to engineering support from SQLstream. Among many of the SQLstream University Partner Program benefits are:

• Access to a non-commercial, royalty-free license to the SQLstream technology;
• Access to a library of use cases and analytic algorithms;
• Discounted training and kick-off assistance to research projects;
• Discounted commercial license available for those Universities desiring to implement SQLstream in a production environment.

“One of our main goals as an organization is to accumulate business intelligence by adding research partners that can challenge and complement our existing solutions,” said Chris Clabaugh, VP of Business Development at SQLstream. “Streaming analytics and Big Data is seeing a lot of demand in the commercial and research space right now, so we are thrilled to be the streaming analytics technology supplier to university supercomputing centers.”

To learn more about UPP, please visit http://www.sqlstream.com/university-partner-program/.

SQLstream Inc. (www.sqlstream.com) makes systems responsive to real-time operational Big Data. SQLstream enables organizations to query their log, sensor and service data directly, and to share streaming operational intelligence with external systems, continuously and in real-time. SQLstream is built on a standards-based, distributed and massively parallel architecture, and uses industry standard SQL for the rapid analysis of high volume, real-time data streams. Standards mean lower costs, proven performance and seamless integration. Headquartered in San Francisco, CA, SQLstream is transforming the world of real-time, Big Data stream management.

New SQLstream s-Server 3.0 enables faster response to operational Big Data by tapping into streaming log file, sensor and service data in real-time.

SAN FRANCISCO, CA, December 13, 2012 – SQLstream Inc. (www.sqlstream.com), a pioneer of real-time Big Data, today delivered the new generation of its streaming Big Data management platform. SQLstream s-Server 3.0 is the fastest and most scalable release of the company’s flagship product, introducing high performance distributed stream processing, Google BigQuery integration, and enhanced platform manageability and streaming application development.

SQLstream’s Big Data on Tap™ platform architecture is built from the ground up for real-time, streaming Big Data applications. The new release, with its real-time data collection, transformation and sharing capabilities, enables businesses to respond even faster to their operational Big Data. SQLstream s-Server 3.0 queries log file, sensor and service data in real-time, joins and transforms data streams using only the standard SQL language, and shares results continuously to outputs such as Big Data storage platforms. Streaming SQL enables high volume, high velocity applications for both structured and unstructured data to be built rapidly without having to resort to low level code development.

With s-Server 3.0, throughput performance is up to 10 times faster than that of the previous releases. The performance breakthrough is enabled by lock-free distributed processing for live data streams, a method pioneered by SQLstream and essential for real-time Big Data scalability. In addition, s-Server 3.0 brings faster integration, achieved through a new bi-directional connector for Google BigQuery, and faster development through new streaming SQL operators and added Windows support.

“Recent EMA research shows that Big Data environments consist of multiple platforms including structured (RDBMS) and multi-structured (Hadoop and other NoSQL) data stores – each one handling the processing that matches the strengths of the platform. This collection is called the Hybrid Data Ecosystem,” said John Myers, senior business intelligence and data warehousing analyst at Enterprise Management Associates. “Streaming Big Data solutions like SQLstream s-Server offer continuous integration with real-time analysis. This will be important in the area of operational intelligence analysis where low query latency is key.”

“SQLstream s-Server 3.0 addresses the operational Big Data problems that other log and network monitoring software solutions are unable to solve,” said Damian Black, SQLstream CEO. “Organizations want to be more responsive to their real-time Big Data, and that requires SQLstream’s low latency and raw performance, plus our ability to join and share data continuously between any data source and any destination storage platform.”

An early availability program for SQLstream s-Server 3.0 validated the new performance and integration capabilities across a range of industries including telecommunications, transportation, financial services and High Performance Computing (HPC). High performance log and machine data processing was a key requirement, met by SQLstream s-Server 3.0’s ability to detect real-time operational issues in high volume, high velocity data streams that were out of range for existing log monitoring systems.

“We had too many systems producing too many logs too quickly for any of our existing tools to process in real-time or otherwise,” says Lucia Walle, Cornell University Center for Advanced Computing. “SQLstream is the solution that scaled to monitor logs in real time for key patterns indicating imminent and undesirable conditions.”

To download a free trial and for more information about SQLstream s-Server 3.0, its technical capabilities, business benefits, and our Big Data on Tap™ approach, visit www.sqlstream.com/whats-new-in-3.

About SQLstream Inc.

SQLstream Inc. (www.sqlstream.com) makes systems responsive to real-time operational Big Data. SQLstream enables organizations to query their log, sensor and service data directly, and to share streaming operational intelligence with external systems, continuously and in real-time. SQLstream is built on a standards-based, distributed and massively parallel architecture, and uses industry standard SQL for the rapid analysis of high volume, real-time data streams. Standards mean lower costs, proven performance and seamless integration. SQLstream is headquartered in San Francisco, CA.

SAN FRANCISCO, CA, August 23, 2012. SQLstream Inc, the leading standards-based real-time Big Data solutions provider, today announced the appointments of Glenn Hout as Vice President of Sales for the Americas and Chris Clabaugh as Vice President of Business Development. Hout and Clabaugh join the senior management team to build on SQLstream’s strong foundation in North America, and to expand SQLstream’s success into Asia Pacific and Europe.

Damian Black, SQLstream CEO, attributes SQLstream’s success to the rate with which industries such as transportation and telecommunications are adopting real-time, streaming Big Data technology. “As a result, we have seen a surge in customers seeking real-time Big Data solutions,” continues Damian. “Chris and Glenn bring passion, experience and leadership, as well as the existing relationships necessary to establish SQLstream as industry’s preferred partner for mission critical, real-time Big Data applications.”

Glenn Hout brings twenty-four years’ experience in the database and software applications industry with both early-stage and established software organizations. Glenn joins SQLstream from Big Data startup Algebraix Data, and prior to that, held management positions at Oracle, Information Builders and Hyperion solutions.

Chris Clabaugh joins SQLstream from Kabira Technologies (acquired by TIBCO) where he was Vice President of Business Development, overseeing ISV and OEM partnerships globally, managing branch operations in Japan, and opening new markets and geographical expansion in the Americas. Prior to Kabira, Chris held management positions at Collabnet, Progress Software, Allegrix and SCO.

Interested in Real-time Big Data solutions? Register here for a 60-day free trial of SQLstream s-Server. The download version is fully functional, and includes all adapters, drivers and development tools.

About SQLstream Inc.

SQLstream is the leading standards-based platform for integrating and analyzing streaming Big Data, forging real-time competitive advantage from live service, system and sensor data. SQLstream’s standards-based, distributed and scalable architecture uses industry standard SQL for the rapid analysis of high volume, real-time data streams. Standards mean lower costs, proven performance and seamless integration. With SQLstream, our customers are turbo-charging their Big Data environments for real-time, and responding with confidence to business exceptions based on accurate, up to the second information. SQLstream is headquartered in San Francisco and can be found on the web at www.sqlstream.com.

Media contact: Ronnie Beggs, +1 877 571 5775, pr@sqlstream.com

SQLstream, the leading platform for real-time Big Data integration and analytics, today announced it has joined the Google Cloud Platform Partner Program as a Technology Partner with its release of the Continuous ETL connector for real-time Big Data integration with Google BigQuery.

Continuous ETL for Google BigQuery

SQLstream’s continuous ETL is the key building block for powerful real-time Big Data solutions that integrate vast volumes of real-time streaming Big Data with historical trend information. SQLstream provides streaming integration for structured and unstructured data in real-time and on a massive scale, overcoming the poor scalability and high latency issues that are typical with traditional batch-based solutions. With SQLstream, organizations can act instantly on new information as it arrives, improving operational efficiency and driving new revenue opportunities.

“The Google Cloud Platform Partner Program enables us to integrate our product offerings for real-time Big Data with the power of the Google cloud platform,” said Damian Black, SQLstream CEO. “SQLstream is the only real-time, streaming Big Data management platform that is built on the ANSI and ISO SQL standards, making it the perfect real-time complement for Google Big Query. Our customers benefit from the power of the Google Cloud Platform while utilizing the same SQL skills to perform streaming Big Data integration with real-time analytics.”

The continuous ETL integration has already been deployed by Grupo Intech in Venezuela as an integral component of a SQLstream and Google BigQuery solution for detecting road network traffic congestion in real-time using GPS data. “Understanding the quality and coverage offered by each of our GPS data providers is essential,” said Marcelo Ricigliano Cantos, CEO of Grupo Intech. “Google BigQuery is updated continuously and in real-time by SQLstream, and generates on-demand confidence indicators as to GPS data quality and reliability.”

“To help customers get the most out of our cloud platform products,” explains Eric Morse, Head of Sales and Business Development, for Google’s Cloud Platform, “we work closely with technology companies, like SQLstream, that provide powerful complementary solutions integrated with our platform.”

Google’s Cloud Platform products enable customers to implement:

• Cloud app solutions, such as mobile apps, social apps, business process apps, and websites, using Google App Engine and Google Cloud SQL.
• Cloud storage solutions, such as high-end backup and recovery, active archiving, global file sharing/collaboration, and primary SAN/NAS, using Google Cloud Storage.
• Large-scale computing solutions, such as batch processing, data processing and high performance computing using Google Compute Engine.
• Big data solutions, such as interactive tools, trend detection and BI dashboards, using Google BigQuery and Google Prediction API.

About SQLstream Inc.
SQLstream is the leading standards-based platform for integrating and analyzing streaming Big Data, forging real-time competitive advantage from live service, system and sensor data. SQLstream’s standards-based, distributed and scalable architecture uses industry standard SQL for the rapid analysis of high volume, real-time data streams. Standards mean lower costs, proven performance and seamless integration. With SQLstream, our customers are turbo-charging their Big Data environments for real-time, and responding with confidence to business exceptions based on accurate, up to the second information. SQLstream is headquartered in San Francisco and can be found on the web at www.sqlstream.com.

Contact: Ronnie Beggs, VP of Marketing, +1 877-571-5775

SAN FRANCISCO, CA, October 17, 2011 - SQLstream Inc. today announced the public availability of SQLstream ITS Insight, the first real-time solution for reducing congestion to exploit low cost wireless GPS data as a complement to existing fixed-road sensor investment. Transportation Agencies are already benefiting already from SQLstream ITS Insight, using it to deliver real-time Travel Time and congestion detection solutions. The official public launch for SQLstream ITS Insight is today at the ITS World Congress, Orlando.

For commuters in their cars, traffic lines are lengthening and travel times are increasingly unreliable. Congestion is growing globally and transportation agencies are already struggling with their existing congestion management systems. Traditional approaches are expensive to install and maintain, and they provide very limited information and network coverage.

“Transportation Agencies are revolutionizing their approach to transport network management”, said Damian Black, SQLstream CEO. “SQLstream is delighted to be the core of their strategy for a single, real-time Intelligent Transportation platform.”

About SQLstream ITS Insight

SQLstream’s ‘Insight’ product range offers fast start solution packs for industry markets based on SQLstream’s core Stream-to-Business platform. SQLstream ITS Insight is a real-time traffic analytics and management platform for Intelligent Transportation agencies, offering real-time Travel Time, and sophisticated congestion detection algorithms that combine real-time and historical trend data. With SQLstream ITS Insight, transportation agencies will:

• Significantly reduce the cost of fulfilling congestion reduction targets
• Implement travel time improvements in just weeks rather than years
• Achieve the impossible – effective real-time insight for arterial routes

SQLstream will be presenting live demonstrations of SQLstream ITS Insight at ITS World Congress, Orlando, booth #1366.

About SQLstream Inc.

SQLstream’s Stream-to-Business platform analyzes real-time service and sensor data streams to deliver instant alerts, analytics and immediate answers to business decision makers. Using the industry standard SQL language, SQLstream executes queries on the wire, before data reaches the warehouse, enabling businesses to make smarter decisions sooner. SQLstream adds real-time operational intelligence, monitoring and control to existing systems while reducing total cost and complexity. SQLstream is headquartered in San Francisco, California and is on the web at http://www.sqlstream.com. For further information, please call Ronnie Beggs (877) 571-5775, or email pr@sqlstream.com.