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

Apache Derby vs PostgreSQL

OverviewDecisionsComparisonAlternatives

Overview

PostgreSQL
PostgreSQL
Stacks103.0K
Followers83.9K
Votes3.6K
GitHub Stars19.0K
Forks5.2K
Apache Derby
Apache Derby
Stacks103
Followers22
Votes0
GitHub Stars369
Forks141

Apache Derby vs PostgreSQL: What are the differences?

Key Differences between Apache Derby and PostgreSQL

Apache Derby and PostgreSQL are both popular relational database management systems (RDBMS) with their own set of features and capabilities. Here are some key differences between the two:

  1. Deployment and Usage: Apache Derby is designed to be embedded within Java applications, making it suitable for small-scale projects or applications that require a lightweight database solution. On the other hand, PostgreSQL is a standalone RDBMS that can be used for both small-scale and large-scale projects, providing a more robust and scalable database solution.

  2. SQL Compliance: When it comes to SQL compliance, PostgreSQL offers a more extensive SQL feature set compared to Apache Derby. PostgreSQL supports advanced SQL features such as window functions, Common Table Expressions (CTEs), and recursive queries. Apache Derby, while capable of performing standard SQL operations, has fewer advanced features and may not be as fully compliant with the SQL standard.

  3. Scalability and Performance: PostgreSQL is known for its scalability and performance capabilities, making it a preferred choice for large-scale applications handling significant amounts of data. It provides support for parallel query execution, advanced indexing options, and efficient query optimization techniques. Apache Derby, being more lightweight, may not perform as well under heavy loads or when dealing with large datasets.

  4. Community and Ecosystem: PostgreSQL has a large and active open-source community, which contributes to the continuous development and improvement of the database system. This means that there is extensive documentation, support, and a wide variety of third-party tools and integrations available for PostgreSQL. Apache Derby, although active in its own community, may have a smaller ecosystem and limited resources compared to PostgreSQL.

  5. Data Replication and High Availability: PostgreSQL offers various mechanisms for data replication and high availability, including built-in streaming replication, logical replication, and support for clustering with tools like Pgpool-II and Patroni. Apache Derby, being primarily an embedded database, does not offer the same level of built-in replication and high availability features.

  6. Licensing: Another significant difference lies in the licensing model of the two databases. Apache Derby is licensed under the Apache License, which allows for more flexible use and redistribution. PostgreSQL, on the other hand, is released under the PostgreSQL License, which has fewer restrictions and is more permissive than the Apache License.

In Summary, Apache Derby is suitable for embedded scenarios and smaller-scale projects, while PostgreSQL offers advanced features, scalability, and a more extensive ecosystem for both small-scale and large-scale applications.

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Advice on PostgreSQL, Apache Derby

Kyle
Kyle

Web Application Developer at Redacted DevWorks

Dec 3, 2019

DecidedonPostGISPostGIS

While there's been some very clever techniques that has allowed non-natively supported geo querying to be performed, it is incredibly slow in the long game and error prone at best.

MySQL finally introduced it's own GEO functions and special indexing operations for GIS type data. I prototyped with this, as MySQL is the most familiar database to me. But no matter what I did with it, how much tuning i'd give it, how much I played with it, the results would come back inconsistent.

It was very disappointing.

I figured, at this point, that SQL Server, being an enterprise solution authored by one of the biggest worldwide software developers in the world, Microsoft, might contain some decent GIS in it.

I was very disappointed.

Postgres is a Database solution i'm still getting familiar with, but I noticed it had no built in support for GIS. So I hilariously didn't pay it too much attention. That was until I stumbled upon PostGIS and my world changed forever.

449k views449k
Comments
George
George

Student

Mar 18, 2020

Needs adviceonPostgreSQLPostgreSQLPythonPythonDjangoDjango

Hello everyone,

Well, I want to build a large-scale project, but I do not know which ORDBMS to choose. The app should handle real-time operations, not chatting, but things like future scheduling or reminders. It should be also really secure, fast and easy to use. And last but not least, should I use them both. I mean PostgreSQL with Python / Django and MongoDB with Node.js? Or would it be better to use PostgreSQL with Node.js?

*The project is going to use React for the front-end and GraphQL is going to be used for the API.

Thank you all. Any answer or advice would be really helpful!

620k views620k
Comments
Navraj
Navraj

CEO at SuPragma

Apr 16, 2020

Needs adviceonMySQLMySQLPostgreSQLPostgreSQL

I asked my last question incorrectly. Rephrasing it here.

I am looking for the most secure open source database for my project I'm starting: https://github.com/SuPragma/SuPragma/wiki

Which database is more secure? MySQL or PostgreSQL? Are there others I should be considering? Is it possible to change the encryption keys dynamically?

Thanks,

Raj

401k views401k
Comments

Detailed Comparison

PostgreSQL
PostgreSQL
Apache Derby
Apache Derby

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.

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

-
Small footprint; Based on the Java, JDBC, and SQL standards; Provides an embedded JDBC driver
Statistics
GitHub Stars
19.0K
GitHub Stars
369
GitHub Forks
5.2K
GitHub Forks
141
Stacks
103.0K
Stacks
103
Followers
83.9K
Followers
22
Votes
3.6K
Votes
0
Pros & Cons
Pros
  • 765
    Relational database
  • 511
    High availability
  • 439
    Enterprise class database
  • 383
    Sql
  • 304
    Sql + nosql
Cons
  • 10
    Table/index bloatings
No community feedback yet
Integrations
No integrations available
Java
Java

What are some alternatives to PostgreSQL, Apache Derby?

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.

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.

InfluxDB

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

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