Apache Spark is a leading framework for large-scale data processing, offering versatile functionalities like batch processing and stream processing.
Apache Kafka is an open-source streaming platform that is ideal for handling real-time data and high-throughput data feeds.
Snowflake, Amazon Redshift, and Google BigQuery are popular cloud data warehouses, each with unique features that data engineers should understand in order to choose the best fit for their projects.