Apache Spark

Apache Spark enables data engineering, data science, and machine learning. It works on both single-node and cluster environments, supporting multiple programming languages.

Key Features

• Supports multiple languages: Scala, Python, Java, R
• In-memory data processing for faster analytics
• Unified engine for batch and stream processing
• Rich libraries for SQL, machine learning, and graph processing
• Open-source and community-driven

Pros

• High performance with in-memory processing
• Versatile for various data tasks
• Strong community support and documentation
• Scalable from small to large datasets

Cons

• Steeper learning curve for beginners
• Performance can vary based on cluster configuration
• Limited built-in visualization tools
• Resource-intensive for small-scale applications