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Apache Spark vs
HADOOP
https://www.aptuz.com/

APACHE SPARK
Apache Spark is designed to provide lightning-
fast data analytics by leveraging in-memory
computations. It can operate on top of existing
Hadoop clusters, accessing data in Hadoop
Distributed File System (HDFS). Additionally,
Spark can process structured data from Hive
and stream data from various sources like
HDFS, Flume, Kafka, and Twitter.

Apache Spark
Apache Spark is not a replacement for Hadoop but
works alongside it.
Spark is ideal for real-time and interactive
processing.
Hadoop is suited for traditional batch map/reduce
jobs.
Consider Hadoop as a general-purpose framework.
Spark uses more RAM but requires dedicated high-
end machines.
VS. HADOOP

SPEED
Spark offers in-
memory processing,
boosting data
analysis speed
significantly.
FLEXIBILITY
EASE OF USE
Developers can
work with Java,
Scala, or Python,
streamlining app
creation.
VERSATILITY
Spark combines SQL,
streaming, and advanced
analytics seamlessly.
It runs on Hadoop,
Mesos, standalone,
or in the cloud and
accesses multiple
data sources.
KEY FEATURES OF APACHE SPARK
Spark works with
HDFS, Cassandra,
HBase, S3,
enhancing data
compatibility.
INTEGRATION

Spark's
Apache Spark runs on various platforms: Hadoop, Mesos, standalone, or
in the cloud.
It easily accesses diverse data sources like HDFS, Cassandra, HBase,
and S3.
Offers flexibility to integrate with different big data ecosystems.
Seamlessly fits into existing data infrastructure for enhanced processing.
COMPATIBILITY

CONCLUSION
In conclusion, Apache Spark is a versatile
framework that enhances data analytics with
its speed, flexibility, and compatibility. It's a
valuable addition to the big data ecosystem,
complementing Hadoop for real-time
processing and interactive queries. Explore
Spark's capabilities for efficient data
processing.

Aptuz Technology Solutions
CONTACT
https://www.aptuz.com/
info@aptuz.com
4th Floor, RAM SVR, Madhapur,
HITEC City, Hyderabad - 500081
+(91)-9491754728

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Apache Spark vs. Hadoop Is Spark Set to Replace Hadoop.pdf

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