About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

StreamBase Debuts LiveView 1.0 Real-Time Analytics

Subscribe to our newsletter

StreamBase Systems has released LiveView version 1.0, a real-time analytics platform for streaming and historical data, which allows trading firms to analyse business events in real time, before they are committed to enterprise data stores.

The LiveView Continuous Query Server – built upon StreamBase’s complex event processing (CEP) technology – can consume data from more than 150 data sources, creating an in- memory, active data warehouse of streaming real-time data.  Users issue ad hoc queries to the server, which LiveView tracks and then pushes alerts back to users on a continuous basis.  The system enables applications such as real-time trading risk management, real-time network operations risk, real-time fraud detection, and real-time CDR (call data records) analysis and web analytics.

The architecture features the LiveView Continuous Query Server, which firms configure to simultaneously monitor multiple inbound data streams, and apply their own custom analytics.  These streams are then used to create Active Tables; clients register queries in the server, and, as events change and match the queries, users are immediately notified with a push-based SQL-like query mechanism.  The LiveView Desktop is an end-user application that allows users to compose new queries, drill down and graph live streams, define and manage real-time alerts, and manage automated and human-driven actions.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The Role of Data Fabric and Data Mesh in Modern Trading Infrastructures

The demands on trading infrastructure are intensifying. Increasing data volumes, the necessity for real-time processing, and stringent regulatory requirements are exposing the limitations of legacy data architectures. In response, firms are re-evaluating their data strategies to improve agility, scalability, and governance. Two architectural models central to this conversation are Data Fabric and Data Mesh. This...

BLOG

AiMi Unveils Agentic Workflow to Automate Mandatory Market Changes

AiMi, specialists in AI for trading and market data operations, has launched an end-to-end agentic workflow designed to streamline how firms manage mandatory changes from exchanges and market data vendors. The new capabilities build on AiMi’s existing AI-enabled platform, introducing a dynamic suite of digital agents that automate the tracking, review, and triage of market...

EVENT

Buy AND Build: The Future of Capital Markets Technology

Buy AND Build: The Future of Capital Markets Technology London examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

BCBS 239 Data Management Handbook

Our 2015/2016 edition of the BCBS 239 Data Management Handbook has arrived! Printed copies went like hotcakes at our Data Management Summit in New York but you can download your own copy here and get access to detailed information on the  principles and implications of BCBS 239 on Data Management. This Handbook provides an at-a-glance...