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

Upcoming Webinar: Agility as Alpha: How Trading Infrastructure Determines Who Wins in Volatile Markets

Date: 21 May 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Tariff shocks, geopolitical realignment and macroeconomic regime shifts are redrawing the investment landscape faster than most firms’ technology stacks can keep up. For hedge funds and asset managers, the ability to move quickly into new asset classes, geographies or...

BLOG

The New Shape of Market Data: Why Institutions Are Moving Toward a More Modular, Machine-Readable Architecture

For decades, the market-data ecosystem has been defined by reliance on a handful of dominant vendors. Their breadth, depth and entitlements frameworks became foundational to both the trading desk and the wider enterprise. But the requirements of the modern financial technology stack have shifted dramatically. Cloud-native development, agentic AI workflows, and a proliferation of analytics-driven...

EVENT

Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

Entity Data Management Handbook – Seventh Edition

Sourcing entity data and ensuring efficient and effective entity data management is a challenge for many financial institutions as volumes of data rise, more regulations require entity data in reporting, and the fight again financial crime is escalated by bad actors using increasingly sophisticated techniques to attack processes and systems. That said, based on best...