Software Alternatives & Reviews

Hibernate VS Apache Spark

Compare Hibernate VS Apache Spark and see what are their differences

Hibernate logo Hibernate

Hibernate an open source Java persistence framework project.

Apache Spark logo Apache Spark

Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
  • Hibernate Landing page
    Landing page //
    2022-04-25
  • Apache Spark Landing page
    Landing page //
    2021-12-31

Hibernate videos

Should you Hibernate, Shut down, or put your PC to sleep?

More videos:

  • Review - GELERT Hibernate 400 sleeping bag review.
  • Tutorial - Java Hibernate Tutorial Part 8 Chapter 1 Review 1

Apache Spark videos

Weekly Apache Spark live Code Review -- look at StringIndexer multi-col (Scala) & Python testing

More videos:

  • Review - What's New in Apache Spark 3.0.0
  • Review - Apache Spark for Data Engineering and Analysis - Overview

Category Popularity

0-100% (relative to Hibernate and Apache Spark)
Web Frameworks
100 100%
0% 0
Databases
0 0%
100% 100
Development
100 100%
0% 0
Big Data
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Hibernate and Apache Spark

Hibernate Reviews

17 Popular Java Frameworks for 2023: Pros, cons, and more
MyBatis is somewhat similar to the Hibernate framework, as both facilitate communication between the application layer and the database. However, MyBatis doesn’t map Java objects to database tables like Hibernate does — instead, it links Java methods to SQL statements. As a result, SQL is visible when you’re working with the MyBatis framework, and you still have control over...
Source: raygun.com
10 Best Java Frameworks You Should Know
Hibernate is one of the best Frameworks which is capable of extending Java's Persistence API support. Hibernate is an open-source, extremely lightweight, performance-oriented, and ORM (Object-Relational-Mapping) tool.

Apache Spark Reviews

15 data science tools to consider using in 2021
Apache Spark is an open source data processing and analytics engine that can handle large amounts of data -- upward of several petabytes, according to proponents. Spark's ability to rapidly process data has fueled significant growth in the use of the platform since it was created in 2009, helping to make the Spark project one of the largest open source communities among big...
Top 15 Kafka Alternatives Popular In 2021
Apache Spark is a well-known, general-purpose, open-source analytics engine for large-scale, core data processing. It is known for its high-performance quality for data processing – batch and streaming with the help of its DAG scheduler, query optimizer, and engine. Data streams are processed in real-time and hence it is quite fast and efficient. Its machine learning...
5 Best-Performing Tools that Build Real-Time Data Pipeline
Apache Spark is an open-source and flexible in-memory framework which serves as an alternative to map-reduce for handling batch, real-time analytics and data processing workloads. It provides native bindings for the Java, Scala, Python, and R programming languages, and supports SQL, streaming data, machine learning and graph processing. From its beginning in the AMPLab at...

Social recommendations and mentions

Based on our record, Apache Spark should be more popular than Hibernate. It has been mentiond 56 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Hibernate mentions (14)

  • In One Minute : Hibernate
    Hibernate is the umbrella for a collection of libraries, most notably Hibernate ORM which provides Object/Relational Mapping for java domain objects. In addition to its own "native" API, Hibernate ORM is also an implementation of the Java Persistence API (jpa) specification. - Source: dev.to / over 1 year ago
  • Spring Boot – Black Box Testing
    I'm using Spring Data JPA as a persistence framework. Therefore, those classes are Hibernate entities. - Source: dev.to / over 1 year ago
  • How to Secure Nodejs Application.
    To prevent SQL Injection attacks to sanitize input data. You can either validate every single input or validate using parameter binding. Parameter binding is mostly used by developers as it offers efficiency and security. If you are using a popular ORM such as sequelize, hibernate, etc then they already provide the functions to validate and sanitize your data. If you are using database modules other than ORM such... - Source: dev.to / over 1 year ago
  • Help fresh graduate understand the ecosystem
    JPA is an API for talking to SQL databases and mapping SQL tables to Java classes. You mentioned being familiar with Entity Framework, JPA is somewhat similar. In Java it is more common than in C# to have a specification for something, and then a number of implementations of that specification. JPA is the specification, https://hibernate.org/ is one of the implementations of that spec. If you know you're going to... Source: over 1 year ago
  • Help in reading JAVA documentation for Configuration class (hibernate)
    The answer is that you're using a different version of hibernate than you're looking at the documents for. Your docs link is REALLY old. The oldest version of docs that hibernate.org has on their site where you can easily find them is 4.2 and in that version (maybe even older ones, probably started in 4) .addAnnotatedClassis inConfiguration`. Source: about 2 years ago
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Apache Spark mentions (56)

  • Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
    Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / about 2 months ago
  • 🦿🛴Smarcity garbage reporting automation w/ ollama
    Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 3 months ago
  • Go concurrency simplified. Part 4: Post office as a data pipeline
    Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 4 months ago
  • Five Apache projects you probably didn't know about
    Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 4 months ago
  • Spark – A micro framework for creating web applications in Kotlin and Java
    A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 10 months ago
View more

What are some alternatives?

When comparing Hibernate and Apache Spark, you can also consider the following products

Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Sequelize - Provides access to a MySQL database by mapping database entries to objects and vice-versa.

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

Grails - An Open Source, full stack, web application framework for the JVM

Hadoop - Open-source software for reliable, scalable, distributed computing