The 10 coolest big data tools of 2025 so far include Databricks Lakebase, SAP Business Data Cloud and Snowflake Intelligence.

In the world of data processing and distributed systems, messaging queues and streaming platforms represent two fundamental approaches to handling real-time data. While they may appear similar at ...

Stream processing continuously processes data in real-time, making it ideal for real-time analytics, monitoring, and decision-making tasks (Edge Delta). Using stream processing, you can handle tasks ...

In reality, the opposite is true. Batch processing requires such regular and intensive spikes in processing power that it’s significantly less efficient than a continuous low-level stream.

Support for Java, Python, and SQL, with unified support for both batch and stream processing. Flink is a mature open-source project from the Apache Software Foundation and has a very active and ...

There's been a lot of work done in unifying the batch and stream processing. One very interesting approach is to leverage streaming-first infrastructure to unify both of them.

First, training a model uses static data and batch processing to generate features. During inference, however, you do online predictions with streaming data and stream processing to extract features.