• Skip to primary navigation
  • Skip to content
  • Skip to primary sidebar
  • Skip to footer
EDUCBA

EDUCBA

MENUMENU
  • Resources
        • Data & Analytics Career

          • Big Data Analytics Jobs
          • Hadoop developer interview Questions
          • Big Data Vs Machine Learning
        • Data and Analytics Career
        • Interview Questions

          • Career in Cloud Computing Technology
          • Big Data interview questions
          • Data Scientist vs Machine Learning
        • Interview Questions
        • Machine Learning

          • What is Machine Learning
          • Machine Learning Tools
          • Neural Network Algorithms
        • Head to Head Differences
        • Others

          • Resources (A-Z)
          • Data and Analytics Basics
          • Business Analytics
          • View All
  • Free Courses
  • All Courses
        • Certification Courses

          Data Science Course
        • All in One Bundle

          All-in-One-Data-Science-Bundle
        • Machine Learning Course

          Machine-Learning-Training
        • Others

          • Hadoop Certification Training
          • Cloud Computing Training Course
          • R Programming Course
          • AWS Training Course
          • SAS Training Course
          • View All
  • 360+ Courses All in One Bundle
  • Login

Apache Hive vs Apache Spark SQL – 13 Amazing Differences

Home » Data Science » Blog » Big Data » Apache Hive vs Apache Spark SQL – 13 Amazing Differences

Apache Hive vs Apache Spark SQL

Difference Between Apache Hive and Apache Spark SQL

With the massive amount of increase in big data technologies today, it is becoming very important to use the right tool for every process. The process can be anything like Data ingestion, Data processing, Data retrieval, Data Storage, etc. In this post, we are going to read about two such data retrieval tools, Apache Hive and Apache Spark SQL. Hive, on one hand, is known for its efficient query processing by making use of SQL-like HQL(Hive Query Language) and is used for data stored in Hadoop Distributed File System whereas Spark SQL makes use of structured query language and makes sure all the read and write online operations are taken care of. Hive has been known to be the component of Big data ecosystem where legacy mappers and reducers are needed to process data from HDFS whereas Spark SQL is known to be the component of Apache Spark API which has made processing on Big data ecosystem a lot more easier and real time. A major misconception most of the professionals today have is that hive can only be used with legacy big data technology and tools such as PIG, HDFS, Sqoop, Oozie. This statement is not completely true as Hive is compatible not only with the legacy tools but also along with Spark based other components, like Spark Streaming. The idea behind using them is to reduce the effort and bring better output for the business. Let us study about both Apache Hive and Apache Spark SQL in detail.

Head to head comparison between Apache Hive vs Apache Spark SQL (Infographics)

Below is the Top 13 Comparision Between Apache Hive vs Apache Spark SQL

Start Your Free Data Science Course

Hadoop, Data Science, Statistics & others

Apache Hive vs Spark SQL InfographicsKey differences between Apache Hive vs Apache Spark SQL

The differences between Apache Hive and Apache Spark SQL is discussed in the points mentioned below:

  1. Hive is known to make use of HQL (Hive Query Language) whereas Spark SQL is known to make use of Structured Query language for processing and querying of data
  2. Hive provides schema flexibility, portioning and bucketing the tables whereas as Spark SQL performs SQL querying it is only possible to read data from existing Hive installation.
  3. Hive provides access rights for users, roles as well as groups whereas no facility to provide access rights to a user is provided by Spark SQL
  4. Hive provides the facility of selective replication factor for redundant storage of data whereas spark SQL, on the other hand, does not provide any replication factor for storing data
  5. As JDBC, ODBC and thrift drivers are available in Hive, we can use them to generate results whereas in case of Apache Spark SQL we can retrieve results in the form of Datasets and DataFrame APIs if Spark SQL is run with another programming language
  6. There are several limitations:
  • Row-level updates and real-time OLTP querying is not possible using Apache Hive whereas row-level updates and real-time online transaction processing is possible using Spark SQL.
  • Provides acceptable high latency for interactive data browsing whereas in Spark SQL the latency provided is up to the minimum to enhance performance.
  • Hive, like SQL statements and queries, supports UNION type whereas Spark SQL is incapable of supporting UNION type.

Apache Hive vs Apache Spark SQL Comparision Table

Basis of comparison Apache Hive Apache Spark SQL
Structure An open source data warehousing system which is built on top of Hadoop Mainly used for structured data processing where more information is retrieved by using structured query language.
Processing Large datasets which are stored in hadoop files are analyzed and queried. Processing is mainly performed using SQL. The processing of Apache Spark SQL involves heavy computations performed due to which a right optimization technique is required. Interaction with Spark SQL is possible in different ways such as Dataset and DataFrame API.
Initial release Hive was first released in 2012 Spark SQL was first released in 2014
Latest release The latest version of Hive is released on 18th November 2017 : release 2.3.2 The latest version of Apache Spark SQL is released on 28th February 2018: 2.3.0
Licensing It is Apache version 2 open sourced Open sourced through Apache version 2
Implementation language Java language primarily can be used to implement apache Hive Spark SQL can be implemented on Scala, Java, R as well as Python
Database model Primarily its database model is RDBMS Though Spark SQL is capable of integrating with any NoSQL database but primarily its database model is RDBMS
Additional Database models Additional database model is a Key-value store which can take data in the form of JSON Key-value store is the additional database model
Development Hive was originally developed by Facebook but later on donated to Apache Software foundation It was originally developed by Apache Software Foundation itself
Server Operating System It supports all operating system with a Java Virtual machine environment It supports several operating systems such as Windows, X, Linux etc.
Access methods It supports ODBC, JDBC and Thrift It only supports ODBC and JDBC
Programming Language support Several programming languages such as C++, PHP, Java, Python, etc. are supported Several programming languages such as Java, R, Python, and Scala is supported
Partitioning methods Data sharding method is used to store data on various nodes It makes use of Apache Spark Core for storing data on various nodes

Conclusion – Apache Hive vs Apache Spark SQL

We cannot say that Apache Spark SQL is the replacement for Hive or vice-versa. It’s just that Spark SQL can be seen to be a developer-friendly Spark based API which is aimed to make the programming easier. Hive has its special ability of frequent switching between engines and so is an efficient tool for querying large data sets. The usage and implementation over what to choose is dependent upon your goals and requirements. They both Apache Hive and Apache Spark SQL are players in their own field. I hope after going through the post, you would get a fair enough idea about your organization’s need. Follow our blog for more posts like these and we make sure to provide information that fosters your business.

Recommended Article

This has been a guide to Apache Hive vs Apache Spark SQL, their Meaning, Head to Head Comparison, Key Differences, Comparision Table, and Conclusion. You may also look at the following articles to learn more –

  1. Java vs Node JS differences
  2. Apache Pig vs Apache Hive – Top 12 Useful Differences
  3. Hadoop vs Hive – Find Out The Best Differences
  4. 7 Important Helpful Things About Apache Spark (Guide)
  5. Apache Hadoop vs Apache Spark |Top 10 Comparisons You Must Know!
  6. Using ORDER BY Function in Hive

Hadoop Certification Training (20 Courses, 14+ Projects)

20 Online Courses

14 Hands-on Projects

135+ Hours

Verifiable Certificate of Completion

Lifetime Access

Learn More

5 Shares
Share
Tweet
Share
Reader Interactions
Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Primary Sidebar
Data Analytics Tutorials Tutorials
  • Big Data
    • Hive Data Types
    • Hadoop Schedulers
    • Azure IoT Edge
    • Cassandra Query Language
    • Hadoop Administrator
    • Hive Order By
    • Distributed Cache in Hadoop
    • Spark SQL Dataframe
    • Salesforce IoT Cloud
    • Cassandra Data Modeling
    • How MapReduce Works
    • Kafka Applications
    • Informatica ETL Tools
    • Cassandra Architecture
    • Docker Swarm Architecture
    • Hadoop FS Command List
    • Joins in Hive
    • Hadoop fs Commands
    • Hive Drop Table
    • Hive Alternatives
    • Advantages of Hadoop
    • HBase vs HDFS
    • AWS Firewall Manager
    • Applications of IoT
    • Data Warehouse Implementation
    • What is Git Fetch?
    • Spark Dataset
    • Ensemble Techniques
    • Kafka vs Spark
    • ETL vs ELT
    • Kubernetes Architecture
    • TensorFlow vs Spark
    • Ansible Architecture
    • Dimension Table
    • Talend Data Integration
    • Spark Stages
    • RDD in Spark
    • Spark Shell Commands
    • Install Hadoop
    • Data Lake vs Data Warehouse
    • Hadoop YARN Architecture
    • Spark DataFrame
    • HADOOP Framework
    • Big Data Architecture
    • Hive Architecture
    • Spark Streaming
    • What is Apache Tomcat?
    • Apache Hbase
    • The Most Critical Aspect of Big Data
    • Big data Concepts
    • Big Data Analytics in Hospitality Industry
    • HBase vs Cassandra
    • Apache Hadoop vs Apache Spark
    • Apache Hive vs Apache HBase
    • HADOOP vs RDBMS
    • Hadoop vs Hive
    • Big Data vs Data Science
    • MapReduce vs Spark
    • Hadoop vs Redshift
    • Small Data Vs Big Data
    • Big Data vs Apache Hadoop
    • Hadoop vs Elasticsearch
    • Apache Pig vs Apache Hive
    • Apache Storm vs Apache Spark
    • Hadoop vs HBase
    • Hadoop Vs SQL
    • Apache Storm vs Kafka
    • Apache Hadoop vs Apache Storm
    • HDFS vs Hbase
    • Hive vs HBase
    • Hive VS HUE
    • Apache Kafka vs Flume
    • Apache Spark vs Apache Flink
    • Apache Nifi vs Apache Spark
    • Big Data Vs Predictive Analytics
    • Apache Hive vs Apache Spark SQL
    • Hive vs Impala
    • Hadoop vs MapReduce
    • Business Intelligence vs Big Data
    • MapReduce vs Apache Spark
    • Hadoop vs Splunk
    • MapReduce vs Yarn
    • Hadoop vs Teradata
    • Pig vs Spark
    • Sqoop vs Flume
    • Hadoop vs Cassandra
    • Splunk vs Spark
    • PIG vs MapReduce
    • Splunk vs Elastic Search
    • Data Warehouse vs Hadoop
    • Is Big Data a Database
    • What is HDFS
    • Hadoop vs SQL Performance
    • Challenges of Big Data Analytics
    • Big Data Analytics Tools
    • Hadoop Administrator Jobs
    • Hadoop vs Apache Spark
    • Big Data vs Data Warehouse
    • Apache Spark Beginners
    • Hadoop vs Spark
    • Uses Of Splunk
    • Is Hadoop Open Source
    • Hive Function
    • Big Data Analytics Software
    • What is Big data analytics
    • Hive Commands
    • Sqoop Commands
    • Spark Commands
    • HBase Commands
    • Is Splunk Free
    • Introduction To Big Data
    • Splunk Alternatives
    • Big Data Analytics Examples
    • Hadoop Alternatives
    • How to Install Splunk
    • Pig Commands
    • What is Big data and Hadoop
    • What is Big Data Technology
    • What is Big Data
    • What is MapReduce
    • What is a Hive?
    • What is MapReduce in Hadoop
    • Splunk Commands
    • What is Apache Spark
    • Trends Of Big Data
    • Uses of Hadoop
    • YARN Package Manager
    • HDFS Architecture
    • Hadoop Components
    • Big Data Analytics
    • Hadoop Tools
    • What is HBase?
    • Hive String Functions
    • HBase Architecture
    • Hadoop Ecosystem Components
    • Hadoop Streaming
    • MapReduce Algorithms
    • Splunk vs Nagios
    • What is Splunk?
    • Hadoop Ecosystem
    • What is Kafka?
    • How to Install Kafka
    • What is Splunk Tool
    • Hadoop Database
    • What is Hadoop Cluster
    • Is Splunk Open Source
    • Hadoop Architecture
    • What is Pig
    • HDFS Commands
    • Big Data Confluence of Technology
  • Business Analytics (40+)
  • Cloud Computing (82+)
  • Data Analytics Basics (202+)
  • Data Analytics Careers (36+)
  • Data Mining (30+)
  • Data Visualization (88+)
  • Interview Questions (50+)
  • Machine Learning (141+)
  • Statistical Analysis (36+)
  • Data Commands (4+)
  • Power Bi (6+)
Data Analytics Tutorials Courses
  • Hadoop Certification Training
  • MapReduce Training
  • Splunk Training Certification
  • Apache Pig Training
Footer
About Us
  • Who is EDUCBA?
  • Sign Up
  •  
Free Courses
  • Free Course on Data Science
  • Free Course on Machine Learning
  • Free Coruse on Statistics
  • Free Course on Data Analytics
Certification Courses
  • All Courses
  • Data Science Course - All in One Bundle
  • Machine Learning Course
  • Hadoop Certification Training
  • Cloud Computing Training Course
  • R Programming Course
  • AWS Training Course
  • SAS Training Course
  • Tableau Training
  • Azure Training Course
  • IoT Course
  • Minitab Training
  • SPSS Certification Course
  • Data Science with Python Course
Resources
  • Resources (A To Z)
  • Data & Analytics Career
  • Interview Questions
  • Data Visualization
  • Data and Analytics Basics
  • Cloud Computing
Apps
  • iPhone & iPad
  • Android
Support
  • Contact Us
  • Verifiable Certificate
  • Reviews
  • Terms and Conditions

© 2019 - EDUCBA. ALL RIGHTS RESERVED. THE CERTIFICATION NAMES ARE THE TRADEMARKS OF THEIR RESPECTIVE OWNERS.

EDUCBA
Free Data Science Course

Hadoop, Data Science, Statistics & others

By continuing above step, you agree to our Terms of Use and Privacy Policy.
*Please provide your correct email id. Login details for this Free course will be emailed to you
EDUCBA
Free Data Science Course

Hadoop, Data Science, Statistics & others

By continuing above step, you agree to our Terms of Use and Privacy Policy.
*Please provide your correct email id. Login details for this Free course will be emailed to you
EDUCBA
Free Data Science Course

Hadoop, Data Science, Statistics & others

By continuing above step, you agree to our Terms of Use and Privacy Policy.
*Please provide your correct email id. Login details for this Free course will be emailed to you
EDUCBA
Free Data Science Course

Hadoop, Data Science, Statistics & others

By continuing above step, you agree to our Terms of Use and Privacy Policy.
*Please provide your correct email id. Login details for this Free course will be emailed to you
EDUCBA

By continuing above step, you agree to our Terms of Use and Privacy Policy.
*Please provide your correct email id. Login details for this Free course will be emailed to you
EDUCBA Login

Forgot Password?

Let’s Get Started
Please provide your Email ID
Email ID is incorrect

Cyber Week Offer - Hadoop Certification Training (20 Courses, 14+ Projects) View More

Cyber Week Offer - Cyber Week Offer - Hadoop Certification Training (20 Courses, 14+ Projects) View More