H2 Database vs SQLite

Overview

SQLite

Stacks19.9K

Followers15.2K

Votes535

H2 Database

Stacks1.3K

Followers121

Votes0

H2 Database vs SQLite: What are the differences?

1. Data Types: One of the key differences between H2 Database and SQLite is the range of data types supported. H2 Database provides a wider range of data types including advanced ones like UUID, ARRAY, ROWID, and INTERVAL. On the other hand, SQLite has a limited set of data types such as NULL, INTEGER, REAL, TEXT, and BLOB.
2. Concurrency Support: H2 Database and SQLite also differ in terms of concurrency support. H2 Database provides better concurrency support with features like MVCC (Multi-Version Concurrency Control), which allows multiple transactions to access the database simultaneously without blocking each other. SQLite, on the other hand, uses a different locking mechanism, which can lead to contention and potential performance issues in high-concurrency scenarios.
3. Database Size Limit: Another difference between H2 Database and SQLite is the size limit of the database files. In H2 Database, the maximum size of a single database file is limited to 2 TB, whereas SQLite has a file size limit of 140 terabytes. This makes SQLite more suitable for applications that require handling large amounts of data.
4. Network Protocol Support: H2 Database supports multiple network protocols, including TCP/IP, SSL/TLS, and HTTP, which allows clients to connect to the database remotely. In contrast, SQLite is primarily designed for embedded systems and does not provide built-in support for network connections. However, third-party extensions can be used to enable network access in SQLite.
5. Database Administration Tools: H2 Database provides a comprehensive set of administration and management tools, such as a web-based console, SQL script execution, and database schema visualization. In comparison, SQLite lacks built-in administration tools and mainly relies on external libraries or third-party tools for database management.
6. Compatibility: While both H2 Database and SQLite are SQL-based relational databases, they differ in terms of compatibility with other database systems. H2 Database is more compatible with the SQL standard, and its syntax and features closely resemble those of other popular databases like MySQL and Oracle. SQLite, on the other hand, has its unique features and syntax, which may require modifications when migrating from or integrating with other database systems.

In Summary, H2 Database and SQLite differ in various aspects including supported data types, concurrency support, database size limit, network protocol support, administration tools, and compatibility with other database systems.

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Advice on SQLite, H2 Database

Anonymous

Oct 29, 2019

Needs advice

Hi everyone! I am a high school student, starting a massive project. I'm building a system for a boarding school to be better connected to their students and be more efficient with information. In the meantime, I am developing a website and an android app. What's the best datastore I can use? I need to be able to access student data on the app from the main database and send push notifications. Also feed updates. What's the best approach? What's the best tool I can use to deploy the website and the database? One for testing and prototyping, and an official one... Thanks in advance!!!!

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Detailed Comparison

SQLite	H2 Database
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.	It is a relational database management system written in Java. It can be embedded in Java applications or run in client-server mode.
Statistics
Stacks 19.9K	Stacks 1.3K
Followers 15.2K	Followers 121
Votes 535	Votes 0
Pros & Cons
Pros 163 Lightweight 135 Portable 122 Simple 81 Sql 29 Preinstalled on iOS and Android Cons 2 Not for multi-process of multithreaded apps 1 Needs different binaries for each platform	No community feedback yet

What are some alternatives to SQLite, 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.

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

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.

Related Comparisons

H2 Database vs SQLite: What are the differences?

1. Data Types: One of the key differences between H2 Database and SQLite is the range of data types supported. H2 Database provides a wider range of data types including advanced ones like UUID, ARRAY, ROWID, and INTERVAL. On the other hand, SQLite has a limited set of data types such as NULL, INTEGER, REAL, TEXT, and BLOB.
2. Concurrency Support: H2 Database and SQLite also differ in terms of concurrency support. H2 Database provides better concurrency support with features like MVCC (Multi-Version Concurrency Control), which allows multiple transactions to access the database simultaneously without blocking each other. SQLite, on the other hand, uses a different locking mechanism, which can lead to contention and potential performance issues in high-concurrency scenarios.
3. Database Size Limit: Another difference between H2 Database and SQLite is the size limit of the database files. In H2 Database, the maximum size of a single database file is limited to 2 TB, whereas SQLite has a file size limit of 140 terabytes. This makes SQLite more suitable for applications that require handling large amounts of data.
4. Network Protocol Support: H2 Database supports multiple network protocols, including TCP/IP, SSL/TLS, and HTTP, which allows clients to connect to the database remotely. In contrast, SQLite is primarily designed for embedded systems and does not provide built-in support for network connections. However, third-party extensions can be used to enable network access in SQLite.
5. Database Administration Tools: H2 Database provides a comprehensive set of administration and management tools, such as a web-based console, SQL script execution, and database schema visualization. In comparison, SQLite lacks built-in administration tools and mainly relies on external libraries or third-party tools for database management.
6. Compatibility: While both H2 Database and SQLite are SQL-based relational databases, they differ in terms of compatibility with other database systems. H2 Database is more compatible with the SQL standard, and its syntax and features closely resemble those of other popular databases like MySQL and Oracle. SQLite, on the other hand, has its unique features and syntax, which may require modifications when migrating from or integrating with other database systems.

H2 Database vs SQLite

Overview