Volante Technologies, Inc. has introduced its Streamer series of data integration modules for low-latency environments.
Volante Streamer combines handlers for market data feeds with microsecond integration into internal applications and market data platforms. Streamer is being demonstrated today at the Accelerating Wall Street Conference in New York.
Volante offers Streamer modules for Reuters RMDS 6.0, OPRA, and Bloomberg B-Pipe feeds. Additional modules will be released in the future.
“When speed is the decisive factor in business success, Volante has always been the transformation technology of choice. Now with the addition of feed-specific handlers, Volante Streamer meets the need for low-latency market data integration, as well as offering a low-cost, easily customisable, and high-speed alternative for vendor feed normalisation and downstream integration,” says Vijay Oddiraju, CEO, Volante Technologies.
With transformation speeds clocked in low single-digit microseconds, Volante Streamer radically reduces the delays and bottlenecks typically created by market data integration or normalisation. It works in any business application environment, including direct market access, algorithmic trading, and aggregated order book applications, as well as market data platforms and complex event processing engines.
“The proliferation of dynamic, high-volume, time-sensitive data with broad distribution requirements is causing existing infrastructures to fail disrupting business and erasing profits. Instead of throwing more hardware at the problem, it makes more sense to change the way that data is processed. The transformative messaging technology of Tervela, supported by Volantes low-latency, high-volume integration of market data feeds, provides the performance that capital markets institutions need today,” says Bob Cramer, CEO, Tervela.
Spreadsheet-style interfaces incorporate pre-built definitions for all financial data standards and message formats such as FIX, FAST and XML. Volante automates all coding and documentation, as well as provides metadata for model-driven initiatives such as data governance and application integration.