Data solutions provider Vhayu and StreamBase, a complex event processing vendor, have announced a tightly integrated platform for real-time and historical market data storage and analysis.
The partnership will provide financial institutions with an easy-to-use, high-performance complex event processing (CEP) platform integrated with a high-speed tick database.
Customers will be able to apply better analytics on shorter timescales to fast-moving market data because they are able to rapidly build real-time applications that load or query large volumes of historical tick data, the firms said. StreamBase’s high-performance CEP platform and Vhayu’s Velocity market data analysis and storage solution allow customers to easily back-test their real-time analytics by drawing on large quantities of historical data.
“By combining StreamBase’s event processing platform and Vhayu Velocity, we are responding to the market need for CEP software to be tightly integrated with a high performance tick database,” said Jeff Hudson, CEO, Vhayu. “If that integration doesn’t exist, the CEP engine has to make outside queries to relational database technology, which adds latency that renders some algos unusable. The joint solution allows firms to devise algorithmic and quantitative strategies, which may require months to years of tick data to discover past patterns that may predict existing or future trading conditions,” he added.
“Our customers have been calling for increased data management and analysis capabilities, and this partnership with Vhayu is in direct answer to those calls,” commented Chris Risley, CEO, StreamBase. “This will allow us to provide our customers with the real-time and historical data they need to get a complete picture of trading activity, combined with our low-latency, high throughput event server, all in a GUI authoring environment,” he said.
Another similar deal has been struck between CEP technology firm Aleri and market data provider ACTIV Financial to provide financial institutions with low latency market data combined with real time analysis.
Customers will be able to apply their own real-time analytics to ACTIV’s market data and can also use Aleri’s authoring tools to define continuous queries that aggregate and analyse real-time trade and quote data for market insight.