Two good Visual Studio Code alternatives Oct 01, 202415 mins reviews Haystack review: A flexible LLM app builder Sep 09, 202412 mins analysis What is GitHub? More than Git version control in the cloud Sep 06, 202419 mins reviews Tabnine AI coding assistant flexes its models ...
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Apache Kafka vs. Confluent Cloud vs. Amazon Kinesis vs. Microsoft Azure Event Hubs vs. Google Cloud Pub/Sub Get the eBook Examples of Streaming Data The most common use cases for data streaming are streaming media, stock trading, andreal-time analytics. However, data stream processing is broad...
to larger spaces to accommodate our growth; we took our annual customer conference, RoachFest, global for the first time. We also celebrated the 50th episode of our podcast, Big Ideas in App Architecture, which has featured tech leaders from Cameo, Estée Lauder, DoorDash, Confluent, and ...
Apache Kafka vs. Confluent Cloud vs. Amazon Kinesis vs. Microsoft Azure Event Hubs vs. Google Cloud Pub/Sub Get the eBook Examples of Streaming Data The most common use cases for data streaming are streaming media, stock trading, andreal-time analytics. However, data stream processing is broad...
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Kafka, by itself, is not a stream processor but rather a data streaming platform. Confluent sometimes calls it a streaming engine, but even that is misleading since engine implies action. It might be more accurate if you think of Kafka more as a pump than as an engine. Scalability: ...
A modern data pipeline, on the other hand, creates a continuous process of moving data from one system to another. Data pipelines are typically used for streaming data, or data that is constantly changing, such as social media data or stock prices. In a data pipeline, the data is typically...
Batch vs. Real-Time:Tools like Talend and Pentaho process data in batches, causing latency, while real-time tools like Hevo Data and Confluent provide immediate insights from streaming data. Open Source vs. Proprietary:Open-source tools like Apache Spark allow customization but require technical ex...
Stock market trading Analyzing and responding to IT infrastructure events Digital experience monitoring Customer journey mapping Predictive analytics What are the stream processing frameworks? Spark, Flink and Kafka Streams are the most common open source stream processing frameworks. In addition, all the ...