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  5. AlaSQL vs IndexedDB

AlaSQL vs IndexedDB

OverviewDecisionsComparisonAlternatives

Overview

IndexedDB
IndexedDB
Stacks34
Followers97
Votes0
AlaSQL
AlaSQL
Stacks41
Followers36
Votes0

AlaSQL vs IndexedDB: What are the differences?

Introduction:

AlaSQL and IndexedDB are both database technologies that can be used to store and retrieve data in web applications. However, they have several key differences that distinguish them from each other.

1. Syntax: The syntax of AlaSQL is similar to SQL, making it easier for developers who are familiar with SQL to work with this database technology. On the other hand, IndexedDB uses a NoSQL approach and has a different syntax compared to SQL.

2. Data Storage: AlaSQL stores data in memory or as a regular JavaScript object, allowing for faster access and retrieval of data. IndexedDB, on the other hand, stores data in a structured manner using databases, object stores, and indexes, providing a more robust and scalable solution for storing large amounts of data.

3. Querying and Filtering: In AlaSQL, you can perform complex queries using SQL-like syntax which supports various operations like JOIN, GROUP BY, and aggregates. IndexedDB allows querying and filtering of data using a cursor-based API, which provides more fine-grained control over the data retrieval process.

4. Transactions and Durability: IndexedDB supports transactions and provides durability guarantees, ensuring that changes made to the database are persistent even in the event of a system crash or power failure. AlaSQL, on the other hand, does not have built-in transaction support and the data is not durable by default.

5. Browser Support: IndexedDB is supported by all modern browsers, making it a more widely adopted and cross-platform solution for web applications. AlaSQL has limited browser support and may require additional polyfills or libraries to work in all browsers.

6. Community and Documentation: IndexedDB has a larger community and better documentation compared to AlaSQL. This means that developers can easily find resources, tutorials, and support when working with IndexedDB. AlaSQL, being less popular, may have limited online resources and community support.

In Summary, AlaSQL and IndexedDB have distinct differences in terms of syntax, data storage, querying capabilities, transactions, browser support, and community/documentation availability.

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Advice on IndexedDB, AlaSQL

Anonymous
Anonymous

May 17, 2020

Needs advice

I'm currently developing an app that ranks trending stuff ( such as games, memes or movies, etc. ) or events in a particular country or region. Here are the specs: My app does not require registration and requires cookies and localStorage to track users. Users can add new entries to each trending category provided that their country of origin is recorded in cookies. If each category contains more than 100 items then the oldest items get deleted. The question is: what kind of database should I use for managing this app? Thanks in advance

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Detailed Comparison

IndexedDB
IndexedDB
AlaSQL
AlaSQL

This API uses indexes to enable high-performance searches of this data. While Web Storage is useful for storing smaller amounts of data, it is less useful for storing larger amounts of structured data.

Open source SQL database for Javascript with a strong focus on query speed and datasource flexibility for relational data, schemaless data, and graph data. Works in your browser, Node.js and Cordova. Handles both traditional relational tables and nested JSON data (NoSQL). Export, store, and import data from localStorage, IndexedDB, and Excel.

Stores key-pair values; It is not a relational database; IndexedDB API is mostly asynchronous; It is not a structured query language; It has supported to access the data from same domain.
Run SQL queries directly on javascript data arrays.; Bring the comfort of a full database engine to your javascript app.; Fast SQL based in-memory data processing for BI and ERP applications on fat clients.; Easy ETL and option for persistency by data import / manipulation / export for several formats.; Merge SQL and JavaScript by defining costume SQL functions to transform or aggregate data.; Easy access to read and write Excel, CSV, TAB, JSON, and text files.
Statistics
Stacks
34
Stacks
41
Followers
97
Followers
36
Votes
0
Votes
0
Integrations
MongoDB
MongoDB
Slick
Slick
SQLite
SQLite
Knex.js
Knex.js
MSSQL
MSSQL
JavaScript
JavaScript
Node.js
Node.js

What are some alternatives to IndexedDB, AlaSQL?

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.

SQLite

SQLite

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.

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.

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