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  1. Stackups
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  4. Databases
  5. HSQLDB vs SQLite

HSQLDB vs SQLite

OverviewDecisionsComparisonAlternatives

Overview

SQLite
SQLite
Stacks19.9K
Followers15.2K
Votes535
HSQLDB
HSQLDB
Stacks449
Followers61
Votes0
GitHub Stars86
Forks37

HSQLDB vs SQLite: What are the differences?

Introduction:

HSQLDB and SQLite are both popular relational database management systems (RDBMS) that are commonly used for various applications. While they share similarities in their purpose of managing and manipulating data, there are several key differences between HSQLDB and SQLite.

  1. Architecture: HSQLDB is a server-based RDBMS that operates as a standalone database server, supporting concurrent connections from multiple clients. On the other hand, SQLite is a file-based RDBMS that operates on a single file, making it suitable for embedded systems or client-side applications.

  2. SQL Compatibility: HSQLDB and SQLite have varying degrees of SQL compatibility. HSQLDB supports a wide range of SQL standards, including complex query optimization and advanced features like stored procedures and triggers. SQLite, on the other hand, supports a subset of SQL standards and lacks certain advanced features present in HSQLDB.

  3. Data Durability: In terms of data durability, HSQLDB offers various options, including transaction logging and crash recovery capabilities, making it reliable for mission-critical applications. SQLite, on the other hand, emphasizes simplicity and efficiency, sacrificing some data durability features to ensure lightweight and fast operation.

  4. Concurrency: HSQLDB and SQLite have different approaches to concurrency handling. HSQLDB supports multiple concurrent connections and provides locking mechanisms to ensure data consistency in a multi-user environment. SQLite, on the other hand, employs a file-level locking mechanism, which can cause contention in scenarios with heavy concurrent write operations.

  5. Storage Capacity: HSQLDB imposes a limit on the size of the database files, often restricted by the underlying file system limitations. In contrast, SQLite has much higher capacity limits, allowing for large databases to be managed efficiently.

  6. Portability: SQLite is known for its high portability, as it is implemented as a single C library file that can work across different operating systems without any additional dependencies. HSQLDB, although portable between platforms, may require additional setup and configuration due to its server-based architecture.

In summary, HSQLDB and SQLite differ in their architecture, SQL compatibility, data durability, concurrency handling, storage capacity, and portability.

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Advice on SQLite, HSQLDB

Anonymous
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!!!!

366k views366k
Comments

Detailed Comparison

SQLite
SQLite
HSQLDB
HSQLDB

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 offers a small, fast multi-threaded and transactional database engine with in-memory and disk-based tables and supports embedded and server modes. It includes a powerful command line SQL tool and simple GUI query tools.

-
Original code, based on in-depth study of database theory and the SQL Standard; Extensive syntax compatibility modes for porting from other database systems; The fastest overall open-source SQL implementation for small and medium sized databases; Three transaction control models, including lock based and MVCC models; Fully multi-threaded; Compact code footprint
Statistics
GitHub Stars
-
GitHub Stars
86
GitHub Forks
-
GitHub Forks
37
Stacks
19.9K
Stacks
449
Followers
15.2K
Followers
61
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
Integrations
No integrations available
Cloud 66
Cloud 66
Leftronic
Leftronic
Spring Boot
Spring Boot
Woopra
Woopra

What are some alternatives to SQLite, HSQLDB?

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.

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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