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: From Data to Alpha: AI Strategies for Taming Unstructured Data

Unstructured data and text now accounts for the majority of information flowing through financial markets organisations, spanning research content, corporate disclosures, communications, alternative data, and internal documents. While AI has created new opportunities to extract signals, many firms are discovering that value is constrained not by models, but by the quality of the content, architecture,...

BLOG

Institutions Are Already in Prediction Markets – As Data Consumers, Not Traders

The framing around institutional prediction markets assumes a gap that needs bridging: the markets exist, institutions are circling, and what stands between them is a stretch of missing infrastructure – clearing, margin, prime brokerage and surveillance. Build the scaffolding, the assumption runs, and the institutions follow. A panel at A-Team Group’s recent TradingTech Summit New...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...