Datawatch Panopticon 13.7 Brings Faster Trading Analytics – from Tick to Spark and Kafka
Robust new features give capital market customers a time advantage, enabling them to immediately identify trading anomalies typically missed with traditional displays
Datawatch Corporation (NASDAQ-CM: DWCH) today announced the general availability of Datawatch Panopticon 13.7, providing faster visual data analysis for trading, risk and compliance markets. The new powerful features enable buy-side and sell-side firms, and exchanges to perform big data analysis of e-trading data both in real-time as well as intra-day and historically to gain insights that speed decision making.
Regulatory demands in the U.S. and Europe have made order transparency essential. However, the fragmentation of liquidity, increased data volumes and the focus on transaction timing and associated round trip latency hinder organizations’ ability to achieve it. Datawatch Panopticon is purpose-built to integrate into e-trading data environments and gives users the ability to immediately detect anomalies across real-time streaming, intra-day and historic time series. This new edition of the software directly aligns with customers’ requirements for demonstrating best execution across all asset classes, and technologists’ requirements for supporting big data architectures.
“For more than 15 years, the Panopticon software has been trusted by the largest banks, broker-dealers, fund managers and exchanges to help them make faster, more informed decisions,” said Peter Simpson, vice president of visualization strategy at Datawatch. “Our new support for Spark and Kafka, along with enhanced and new visualizations, continues to set innovative industry standards for visual data analysis, giving customers the ability to quickly identify, investigate and act on anomalies in ever-increasing volumes of data.”
Datawatch Panopticon 13.7 introduces new visualizations, predictive analytics and big data connectivity capabilities, all of which empower users to monitor data in real-time, investigate historical performance and instantly take action to improve business profitability. From analytical dashboard design and publishing, to secure access through a web browser, users get an unprecedented view of their operational data. The software allows users to easily jump from order execution monitoring and analysis, to drilling into execution history and review of historic order flow.
Key features of Datawatch Panopticon 13.7 include:
· Real-time streaming updates – Addition of web socket and Apache Kafka connectivity
· Intra-day and historic time series – Playback through tick time, stepping backwards and forwards and resampling down to individual transactions
· Tick data connectivity – Improved direct OneMarketData OneTick and Kx Systems kdb+ connectivity
· Big Data connectivity – Connectivity with widely used big data platforms including Cloudera Impala, Spark SQL, Kafka and Cassandra
· Visual analysis – Advanced, new visualizations plus improved cross tabbing, axis scaling and outlier screening
To learn more about Datawatch Panopticon 13.7, visit www.panopticon.com, join us for a product demonstration webinar on June 1 at 11 a.m. ET, or attend the data management and analysis panel this Wednesday at The Trading Show, in Chicago.
About Datawatch Corporation
Datawatch Corporation (NASDAQ-CM: DWCH) enables ordinary users to achieve extraordinary results with their data. Only Datawatch can unlock data from the widest variety of sources and prepare it for use in visualization and analytics tools, or for other business processes. When real-time visibility into rapidly changing data is critical, Datawatch also enables users to analyze streaming data, even in the most demanding environments, such as capital markets. Organizations of all sizes in more than 100 countries worldwide use Datawatch products, including 93 of the Fortune 100. The company is headquartered in Bedford, Massachusetts, with offices in New York, London, Frankfurt, Stockholm, Singapore and Manila. To learn more about Datawatch or download a free version of its enterprise software, please visit: www.datawatch.com.