Shenzhen Stock Exchange Selects Kx Systems kdb+ for Data Analytics
The Laboratory for Financial Innovation at China’s Shenzhen Stock Exchange (SZSE) is implementing Kx Systems’ kdb+ high-performance database and programming language as the basis of a data analysis platform for market risk assessment, market performance analysis and trading simulations. The Laboratory provides internal services to the exchange and before selecting the Kx Systems solution was...
Nasdaq OMX Partners Corvil to Dive Deeper into Risk Management
Nasdaq OMX has teamed up with Corvil to enhance its TradeGuard risk management suite with RiskWrapper, a solution designed to provide additional protection against risk by monitoring trades at the network level and comparing them to those in the risk system to identify any abnormal activity and alert users to anomalies. RiskWrapper provides tight integration...
Tech Matters with Pete Harris: With Decision Latency, Performance Focus Turns Inward, and Parallel
As efforts to reduce data transmission latency begin to hit the speed of light barrier (the wireless networks being rolled out are pretty much the end game), attention is turning away from the speed of trade execution and towards the speed of trade construction and optimisation – decision latency as some call it. Addressing decision...
SAP Adds Hadoop to Arsenal; Appoints Wainwright to Head Financial Services
SAP – which sells its own HANA in memory data platform, and its IQ analytics database – is now reselling Hadoop in partnership with Hortonworks and Intel. The agreements allow SAP to directly offer a fuller portfolio of big data products, as organisations are seeking unified access to both structured and unstrauctured data. That most...
Solace Systems Builds Customer Base Through Cost Reduction and Big Data Capabilities
After a summer of success in closing contracts with small firms in the financial services sector, Solace Systems is moving up-market in response to growing interest in its hardware appliance messaging solutions from large investment banks seeking to cut cost and complexity out of IT infrastructure while improving performance and coping with big data requirements....
Q&A: Victor Yodaiken of FSMLabs on Time Synchronisation Made Easy
Measuring time with great accuracy – and ensuring it is consistent across the many servers that make up a trading enterprise – has historically been costly and difficult. IntelligentTradingTechnology.com talked to Victor Yodaiken, CEO of FSMLabs, to find out how his company is making it easier. Q: What does FSMLabs – and your TimeKeeper software...
Diablo’s Memory Channel Technology Reduces Flash Latency and Jitter
Memory technology specialist Diablo Technologies has introduced its TeraDIMM architecture, allowing Flash memory to be supported directly by the DRAM memory bus on servers, reducing latency and jitter for solid state disks. This approach from the Ottawa, Canada company is likely to be attractive for developers of trading applications, which leverage SSDs for such tasks...
MemSQL Ships Distributed In-Memory Database
Following up on its unveiling in June of last year, San Francisco-based MemSQL has released a distributed version of its eponymous in-memory database, aimed at introducing big data scalability to the low latency performance provided by the initial release. With its distributed version, MemSQL is providing in-memory performance, with access via the common SQL database...
Q&A: Panopticon’s Willem De Geer on (Big) Data Visualisation in Capital Markets
When discussing big data, the point is often made that deriving value from the data, through analytics, is where the real business win is. Panopticon Software has been in the analysis business – specifically data visualisation – since before big data was a common term. So we found out more about the company, and how...
Amazon Taps SSDs For High Speed Storage and Analytics
Amazon Web Services has introduced High I/O instances for its EC2 compute cloud, leveraging solid-state disks (SSDs) to speed up storage I/O. The SSDs can deliver 120,000+ read and 80,000 write operations per second. Although pitched at companies providing consumer apps, such performance would help to make AWS more attractive to running financial analytics, perhaps...