HDFS
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Explore more → **HDFS**
What is HDFS?
HDFS (Hadoop Distributed File System) is a distributed file system designed to store and process large datasets. It's commonly used for big data storage and processing within the Hadoop ecosystem. It provides fault tolerance, high throughput, and scalability, enabling efficient data analysis and processing across a cluster of commodity hardware.
What other technologies are related to HDFS?
HDFS Competitor Technologies
Kudu
Columnar storage manager for Hadoop that provides fast analytics on fast data; a potential alternative to storing some datasets in HDFS.
CloudBase/Acumulo
A NoSQL database that is an alternative storage system to HDFS for some workloads.
GCP BigTable
A fully managed, scalable NoSQL database service; a potential alternative to HDFS for some workloads.
Cassandra
A NoSQL database that can be used as an alternative to HDFS for some types of data storage.
HBase/Accumulo BIG TABLE
No summary available
NoSQL databases providing alternatives to storing some data in HDFS.
Number of organizations that mention technology
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HDFS Complementary Technologies
Hive
Data warehouse system for querying and analyzing data stored in HDFS.
HBase
NoSQL database that runs on top of HDFS, providing random, real-time read/write access to data in Hadoop.
Hadoop
Broader ecosystem which includes HDFS as its storage layer.
Number of organizations that mention technology
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Which job functions commonly mention HDFS?
Data Engineer
2.3% of all Data Engineer jobs mention HDFS
View 6.7k
jobs on Sumble
Software Engineer
0.3% of all Software Engineer jobs mention HDFS
View 14.7k
jobs on Sumble
Data, Analytics & Machine Learning
0.2% of all Data, Analytics & Machine Learning jobs mention HDFS
View 3.5k
jobs on Sumble
Engineer
0.2% of all Engineer jobs mention HDFS
View 16.3k
jobs on Sumble
Engineering & R&D
0.2% of all Engineering & R&D jobs mention HDFS
View 16.3k
jobs on Sumble
Which organizations are mentioning HDFS?
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