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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Welcome to H2, a Java SQL database designed for efficient data management. In its embedded mode, an application can access the database directly within the same Java Virtual Machine (JVM) using JDBC, making it the quickest and simplest connection method available. However, a drawback of this setup is that the database can only be accessed by one virtual machine and class loader at a time. Like other modes, it accommodates both persistent and in-memory databases without restrictions on the number of simultaneous database accesses or open connections. On the other hand, the mixed mode combines features of both embedded and server modes; the initial application that connects to the database operates in embedded mode while simultaneously launching a server to enable other applications in different processes or virtual machines to access the same data concurrently. This allows local connections to maintain the high speed of the embedded mode, whereas remote connections may experience slight delays. Overall, H2 provides a flexible and robust solution for various database needs.

Description

PostgreSQL stands out as a highly capable, open-source object-relational database system that has been actively developed for more than three decades, earning a solid reputation for its reliability, extensive features, and impressive performance. Comprehensive resources for installation and usage are readily available in the official documentation, which serves as an invaluable guide for both new and experienced users. Additionally, the open-source community fosters numerous forums and platforms where individuals can learn about PostgreSQL, understand its functionalities, and explore job opportunities related to it. Engaging with this community can enhance your knowledge and connection to the PostgreSQL ecosystem. Recently, the PostgreSQL Global Development Group announced updates for all supported versions, including 15.1, 14.6, 13.9, 12.13, 11.18, and 10.23, which address 25 reported bugs from the past few months. Notably, this marks the final release for PostgreSQL 10, meaning that it will no longer receive any security patches or bug fixes going forward. Therefore, if you are currently utilizing PostgreSQL 10 in your production environment, it is highly recommended that you plan to upgrade to a more recent version to ensure continued support and security. Upgrading will not only help maintain the integrity of your data but also allow you to take advantage of the latest features and improvements introduced in newer releases.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Airtool
Chat2DB
DOT Anonymizer
DataGrip
DbVisualizer
DigDash
Metabase
New Relic
RazorSQL
Advanced Query Tool (AQT)
Akira AI
Blindata
Canopy
Datafi
Flowcore
Morph
SAP Store
SQLAlchemy
ScriptString
pgvector

Integrations

Airtool
Chat2DB
DOT Anonymizer
DataGrip
DbVisualizer
DigDash
Metabase
New Relic
RazorSQL
Advanced Query Tool (AQT)
Akira AI
Blindata
Canopy
Datafi
Flowcore
Morph
SAP Store
SQLAlchemy
ScriptString
pgvector

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

H2

Website

www.h2database.com/html/main.html

Vendor Details

Company Name

PostgreSQL Global Development Group

Country

United States

Website

www.postgresql.org

Product Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

Relational Database

ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support

Product Features

Relational Database

ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support

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Alternatives

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