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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Altibase vs SQLite

Altibase vs SQLite

OverviewDecisionsComparisonAlternatives

Overview

SQLite
SQLite
Stacks19.9K
Followers15.2K
Votes535
Altibase
Altibase
Stacks11
Followers19
Votes0

Altibase vs SQLite: What are the differences?

<Altibase vs SQLite Differences>

1. **Data Types**: Altibase supports a wide range of data types including various numeric, character, date, and more, while SQLite has a more limited set of data types available.
2. **Storage Engine**: Altibase uses a hybrid architecture combining both in-memory and disk-based storage, whereas SQLite only uses disk-based storage.
3. **Concurrency Control**: Altibase offers superior support for concurrent transactions and multi-version concurrency control (MVCC) compared to SQLite, which has limitations in handling concurrent operations efficiently.
4. **Scalability**: Altibase is designed to handle large-scale enterprise workloads with high concurrency and performance requirements, whereas SQLite is more suitable for smaller-scale applications due to its limitations in scalability.
5. **Cross-Platform Support**: Altibase supports a wide range of operating systems and architectures, making it more versatile in deployment options compared to SQLite, which has more restricted cross-platform support.
6. **Query Optimization**: Altibase provides a powerful query optimizer and execution engine for complex SQL queries, while SQLite may struggle with optimization and performance for more intricate queries. 

In Summary, Altibase and SQLite differ in data types support, storage engine architecture, concurrency control capabilities, scalability features, cross-platform support, and query optimization abilities.

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Advice on SQLite, Altibase

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
Altibase
Altibase

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 an open source enterprise grade, high performance and relational DBMS. Highly scalable with its sharding technology.

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High performance; Enterprise Grade; Relational DBMS; Low Cost
Statistics
Stacks
19.9K
Stacks
11
Followers
15.2K
Followers
19
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
Nette
Nette
Slick
Slick
Vertica
Vertica
Backand
Backand
Redash
Redash
Knex.js
Knex.js
QlikView
QlikView

What are some alternatives to SQLite, Altibase?

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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