High Throughput Integrations Streaming, Batch, and API Governance Venkata Pavan Kumar Gummadi

Learn how to scale MuleSoft integrations using streaming patterns, batch processing, and robust API governance to handle ...
Diginomica

Confluent tackles enterprise AI agent complexity with batch and streaming data unification

Confluent has unveiled new capabilities that unite batch and stream processing to enable more effective AI applications and agents. The aim? Confluent wants to position itself as an essential platform ...
SiliconANGLE

StarTree brings batch-like flexibility and performance to streaming data

StarTree Inc., the developer of a managed service based on the Apache Pinot real-time data analytics platform, today rolled out a set of enhancements aimed at helping organizations more efficiently ...
InfoQ

From Batch to Streams: Building Value from Data In-Motion

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
InfoWorld

How to choose a streaming data platform

Streaming data is generated continuously, often by thousands of data sources, such as sensors or server logs. Streaming data records are often small, perhaps a few kilobytes each, but there are many ...
Business Wire

Materialize Makes Using Real-Time Data as Simple as Batch With New Distributed Streaming Database

Developers can now leverage real-time data using standard ANSI SQL, with new functionality including elastic storage separated from compute, strict-serializability, active replication and horizontal ...
InfoWorld

Real-time data processing with data streaming: new tools for a new era

Real-time data streaming is still early in its adoption, but over the next few years organizations with successful rollouts will gain a competitive advantage Today, there are many data sources—such at ...