| Apache Spark | MapReduce |
|---|---|
| Spark processes data in batches as well as in real-time | MapReduce processes data in batches only |
| Spark runs almost 100 times faster than Hadoop MapReduce | Hadoop MapReduce is slower when it comes to large scale data processing |
| Spark stores data in the RAM i.e. in-memory. So, it is easier to retrieve it | Hadoop MapReduce data is stored in HDFS and hence takes a long time to retrieve the data |
| Spark provides caching and in-memory data storage | Hadoop is highly disk-dependent |
