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  1. Stackups
  2. Application & Data
  3. Databases
  4. Orm
  5. Apache Kudu vs Hibernate

Apache Kudu vs Hibernate

OverviewComparisonAlternatives

Overview

Hibernate
Hibernate
Stacks1.8K
Followers1.2K
Votes34
GitHub Stars0
Forks0
Apache Kudu
Apache Kudu
Stacks71
Followers259
Votes10
GitHub Stars828
Forks282

Apache Kudu vs Hibernate: What are the differences?

Apache Kudu: Fast Analytics on Fast Data. A columnar storage manager developed for the Hadoop platform. A new addition to the open source Apache Hadoop ecosystem, Kudu completes Hadoop's storage layer to enable fast analytics on fast data; Hibernate: Idiomatic persistence for Java and relational databases. Hibernate is a suite of open source projects around domain models. The flagship project is Hibernate ORM, the Object Relational Mapper.

Apache Kudu belongs to "Big Data Tools" category of the tech stack, while Hibernate can be primarily classified under "Object Relational Mapper (ORM)".

"Realtime Analytics" is the primary reason why developers consider Apache Kudu over the competitors, whereas "Easy ORM" was stated as the key factor in picking Hibernate.

Apache Kudu is an open source tool with 828 GitHub stars and 282 GitHub forks. Here's a link to Apache Kudu's open source repository on GitHub.

Picnic Technologies, Trendyol Group, and Wealthsimple are some of the popular companies that use Hibernate, whereas Apache Kudu is used by HelloFresh, Kaspersky Lab, and Cedato. Hibernate has a broader approval, being mentioned in 181 company stacks & 824 developers stacks; compared to Apache Kudu, which is listed in 5 company stacks and 51 developer stacks.

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Detailed Comparison

Hibernate
Hibernate
Apache Kudu
Apache Kudu

Hibernate is a suite of open source projects around domain models. The flagship project is Hibernate ORM, the Object Relational Mapper.

A new addition to the open source Apache Hadoop ecosystem, Kudu completes Hadoop's storage layer to enable fast analytics on fast data.

Statistics
GitHub Stars
0
GitHub Stars
828
GitHub Forks
0
GitHub Forks
282
Stacks
1.8K
Stacks
71
Followers
1.2K
Followers
259
Votes
34
Votes
10
Pros & Cons
Pros
  • 22
    Easy ORM
  • 8
    Easy transaction definition
  • 3
    Is integrated with spring jpa
  • 1
    Open Source
Cons
  • 3
    Can't control proxy associations when entity graph used
Pros
  • 10
    Realtime Analytics
Cons
  • 1
    Restart time
Integrations
Java
Java
Hadoop
Hadoop

What are some alternatives to Hibernate, Apache Kudu?

Sequelize

Sequelize

Sequelize is a promise-based ORM for Node.js and io.js. It supports the dialects PostgreSQL, MySQL, MariaDB, SQLite and MSSQL and features solid transaction support, relations, read replication and more.

Apache Spark

Apache Spark

Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.

Presto

Presto

Distributed SQL Query Engine for Big Data

Prisma

Prisma

Prisma is an open-source database toolkit. It replaces traditional ORMs and makes database access easy with an auto-generated query builder for TypeScript & Node.js.

Amazon Athena

Amazon Athena

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.

Apache Flink

Apache Flink

Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.

lakeFS

lakeFS

It is an open-source data version control system for data lakes. It provides a “Git for data” platform enabling you to implement best practices from software engineering on your data lake, including branching and merging, CI/CD, and production-like dev/test environments.

Druid

Druid

Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.

Doctrine 2

Doctrine 2

Doctrine 2 sits on top of a powerful database abstraction layer (DBAL). One of its key features is the option to write database queries in a proprietary object oriented SQL dialect called Doctrine Query Language (DQL), inspired by Hibernates HQL.

Apache Kylin

Apache Kylin

Apache Kylin™ is an open source Distributed Analytics Engine designed to provide SQL interface and multi-dimensional analysis (OLAP) on Hadoop/Spark supporting extremely large datasets, originally contributed from eBay Inc.

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