Below are the core components of Spark Ecosystem.

1. Spark Core
2. Spark SQL
3. Spark Streaming
4. Mlib
5. GraphX

Spark Core:

Spark Core is the BASIC engine for large scale parallel and distributed data processing.  It performs various important functions like memory management, monitoring jobs, fault-tolerance, job scheduling and interaction with the STORAGE system.

Spark Streaming:

• Spark streaming makes it easy to build a scalable fault-tolerant streaming application.
• Spark combines streaming with batch and interactive queries.

Spark SQL :

• Spark SQL is Apache Spark module for WORKING with STRUCTURED data.
• Seamlessly mix SQL queries with the Spark program.
• Provides uniform data access.
• Provides Hive Integration. We can run SQL or existing HiveQL on an existing warehouse.

Mlib:

• Mlib is Apache Spark’s scalable machine learning library used to perform machine learning in Spark.

GraphX:

• GraphX is Spark API for graph and graph-parallel computation.
• It unifies ETL, exploratory analysis and iterative graph computation WITHIN a single system.
• Spark’s GraphX has comparable performance to the fastest specialised graph processing systems.