Overview

PostgreSQL

Stacks100.6K

Followers83.9K

Votes3.5K

GitHub Stars19.0K

Forks5.2K

H2 Database

Stacks620

Followers121

Votes0

H2 Database vs PostgreSQL: What are the differences?

H2 Database and PostgreSQL are both popular relational database management systems (RDBMS) that provide reliable and efficient storage and retrieval of data. Let's explore the key differences between the two.

Data Types and Functions: H2 Database and PostgreSQL have different sets of data types and functions. H2 Database offers a wide range of data types with limited functions, while PostgreSQL provides a comprehensive set of data types along with extensive functions for data manipulation and analysis.
Scalability and Performance: H2 Database is known for its lightweight nature and is more suitable for small to medium-scale applications. On the other hand, PostgreSQL is designed to handle large-scale enterprise applications with high concurrency and heavy workloads. It offers advanced optimization techniques and can efficiently handle complex queries.
High Availability and Replication: PostgreSQL has built-in support for high availability and replication. It allows for various replication configurations, including synchronous and asynchronous replication, which ensures data redundancy and enhances fault tolerance. H2 Database, on the other hand, does not provide native support for replication and high availability.
ACID Compliance: Both H2 Database and PostgreSQL are ACID (Atomicity, Consistency, Isolation, Durability) compliant. ACID compliance ensures data integrity and transactional consistency. However, PostgreSQL offers more advanced transaction isolation levels and supports nested transactions, setting it apart from H2 Database in terms of transaction management.
Compatibility and Standards: PostgreSQL adheres closely to the SQL standard and provides extensive support for various SQL features. It also supports numerous extensions and add-ons, making it highly compatible with other databases. While H2 Database supports a subset of the SQL standard, it has its own language for stored procedures and functions, which may require rewriting code when migrating from other database systems.
Community and Support: PostgreSQL has a large and active community, which results in regular updates, bug fixes, and improved stability. It has been widely adopted and is supported by a vast ecosystem of tools and libraries. H2 Database, although actively maintained, has a smaller user base and may have limited community support and third-party integrations in comparison.

In summary, H2 Database is lightweight, suitable for smaller applications, and may require rewriting code for migration. PostgreSQL, on the other hand, is a robust and scalable RDBMS with extensive features, high availability, and strong community support.

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189

Advice on PostgreSQL, H2 Database

Kyle

Web Application Developer at Redacted DevWorks

Dec 3, 2019

Decidedon

PostGIS

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

Student

Mar 18, 2020

Needs adviceon

PostgreSQL

Python

Django

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

CEO at SuPragma

Apr 16, 2020

Needs adviceon

MySQL

PostgreSQL

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	H2 Database
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 a relational database management system written in Java. It can be embedded in Java applications or run in client-server mode.
Statistics
GitHub Stars 19.0K	GitHub Stars -
GitHub Forks 5.2K	GitHub Forks -
Stacks 100.6K	Stacks 620
Followers 83.9K	Followers 121
Votes 3.5K	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

What are some alternatives to PostgreSQL, H2 Database?

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

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

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

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 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

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 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

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 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.