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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Apache Derby vs YugabyteDB

Apache Derby vs YugabyteDB

OverviewComparisonAlternatives

Overview

Apache Derby
Apache Derby
Stacks103
Followers22
Votes0
GitHub Stars369
Forks141
YugabyteDB
YugabyteDB
Stacks50
Followers114
Votes1
GitHub Stars9.9K
Forks1.2K

YugabyteDB vs Apache Derby: What are the differences?

What is YugabyteDB? High-performance, , cloud-native distributed SQL database. It is a high-performance distributed SQL database for powering global, internet-scale applications. Built using a unique combination of high-performance document store, per-shard distributed consensus replication and multi-shard ACID transactions.

What is Apache Derby? An open source relational database implemented entirely in Java. It is an open source relational database implemented entirely in Java and available under the Apache License.

YugabyteDB and Apache Derby can be categorized as "Databases" tools.

Some of the features offered by YugabyteDB are:

  • Global Resilience
  • Low Read Latency
  • Massive Write Scalability

On the other hand, Apache Derby provides the following key features:

  • Small footprint
  • Based on the Java, JDBC, and SQL standards
  • Provides an embedded JDBC driver

YugabyteDB and Apache Derby are both open source tools. It seems that YugabyteDB with 3.89K GitHub stars and 357 forks on GitHub has more adoption than Apache Derby with 215 GitHub stars and 109 GitHub forks.

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Detailed Comparison

Apache Derby
Apache Derby
YugabyteDB
YugabyteDB

It is an open source relational database implemented entirely in Java and available under the Apache License.

An open-source, high-performance, distributed SQL database built for resilience and scale. Re-uses the upper half of PostgreSQL to offer advanced RDBMS features, architected to be fully distributed like Google Spanner.

Small footprint; Based on the Java, JDBC, and SQL standards; Provides an embedded JDBC driver
Resilience; High Performance; Scalability; Enterprise Grade; Cloud-native; Kubernetes; PostgreSQL-compatible; Geo-Distributed; Hybrid Cloud
Statistics
GitHub Stars
369
GitHub Stars
9.9K
GitHub Forks
141
GitHub Forks
1.2K
Stacks
103
Stacks
50
Followers
22
Followers
114
Votes
0
Votes
1
Pros & Cons
No community feedback yet
Pros
  • 1
    Compatible with the result of pg_dump
Integrations
Java
Java
Golang
Golang
PHP
PHP
Java
Java
Python
Python
Spring Boot
Spring Boot
Apache Spark
Apache Spark
Node.js
Node.js
C#
C#
Kubernetes
Kubernetes
Ruby
Ruby

What are some alternatives to Apache Derby, YugabyteDB?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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