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  1. Stackups
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  4. Databases
  5. SQLite vs Sybase

SQLite vs Sybase

OverviewDecisionsComparisonAlternatives

Overview

SQLite
SQLite
Stacks19.9K
Followers15.2K
Votes535
Sybase
Sybase
Stacks41
Followers80
Votes10

SQLite vs Sybase: What are the differences?

Introduction

In this article, we will be discussing the key differences between SQLite and Sybase. Both SQLite and Sybase are database management systems, but they differ in various aspects.

  1. Scalability: One major difference between SQLite and Sybase is scalability. SQLite is known for being lightweight and suitable for small-scale applications. It operates in a single-user mode, meaning it cannot handle high-concurrent workloads. On the other hand, Sybase offers robust scalability and can handle large-scale enterprise-level applications with high-concurrency requirements. It supports multi-user environments efficiently.

  2. Database Size Limitations: SQLite has a maximum database size limitation of 140 terabytes, which is more than sufficient for most applications. However, Sybase does not have any preset size limitations for databases. It can handle much larger database sizes as compared to SQLite.

  3. SQL Syntax and Features: Another notable difference is in terms of SQL syntax and features. SQLite supports a subset of the SQL92 standard and lacks certain advanced features available in other database systems. Sybase, being a more mature database, offers a broader range of SQL features and greater compatibility with industry standards.

  4. Concurrency and Locking: SQLite utilizes a file-based locking mechanism, which means only one process can write to the database file at a time. This can cause performance issues when multiple users try to write concurrently. On the other hand, Sybase employs more sophisticated locking mechanisms, such as row-level locking, which allows multiple processes to read and write concurrently without performance degradation.

  5. Security and Authentication: SQLite does not provide built-in security features like user authentication and access control mechanisms. It relies on the host operating system for managing file-level access control. In contrast, Sybase offers robust security features like user authentication, access control, and encryption to protect sensitive data.

  6. Availability of Commercial Support: SQLite is an open-source database and does not have a dedicated support team. However, it has an active community that provides support and frequent updates. Sybase, being a commercial database system, offers professional technical support and consulting services. It also provides regular updates, bug fixes, and feature enhancements.

In summary, the key differences between SQLite and Sybase include scalability, database size limitations, SQL syntax and features, concurrency and locking mechanisms, security and authentication capabilities, and availability of commercial support.

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Advice on SQLite, Sybase

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
Sybase
Sybase

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.

Modernize and accelerate your transaction-based applications on premise and in the cloud. This high-performance SQL database server uses a relational management model to meet rising demand for performance, reliability, and efficiency in every industry.

-
Faster, more secure transfer of database files; Multiversion concurrency control (MVCC); Three-system monitoring procedures
Statistics
Stacks
19.9K
Stacks
41
Followers
15.2K
Followers
80
Votes
535
Votes
10
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
Pros
  • 1
    HADR does not lose data is superior to Allwayson which
  • 1
    HADR dont loose data
  • 1
    Replication server the best
  • 1
    Sybase has at least 200000 from 15 years ago
  • 1
    Max number of connection is 350000

What are some alternatives to SQLite, Sybase?

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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