AlaSQL vs PostgreSQL

Overview

PostgreSQL

Stacks103.0K

Followers83.9K

Votes3.6K

GitHub Stars19.0K

Forks5.2K

AlaSQL

Stacks41

Followers36

Votes0

AlaSQL vs PostgreSQL: What are the differences?

Introduction:

AlaSQL and PostgreSQL are both popular relational database management systems, each with its own unique features and capabilities.

Database Type: AlaSQL is an in-memory SQL database that operates directly in the browser or Node.js environment, whereas PostgreSQL is a traditional client-server database system that stores data persistently on disk.
Scalability: PostgreSQL is highly scalable and can efficiently handle large volumes of data and complex queries, making it suitable for enterprise-level applications. In contrast, AlaSQL is more suited for smaller-scale applications and projects due to its in-memory nature.
SQL Compatibility: PostgreSQL adheres to industry-standard SQL syntax and supports a wide range of SQL features and functions, making it compatible with many SQL-based applications and tools. On the other hand, AlaSQL has limited SQL compatibility and may not support all SQL functionalities found in traditional databases like PostgreSQL.
Transaction Support: PostgreSQL offers robust transaction support with ACID (Atomicity, Consistency, Isolation, Durability) properties, ensuring data integrity and reliability in multi-user environments. AlaSQL, being an in-memory database, may have limitations in supporting complex transactional operations compared to PostgreSQL.
Community and Ecosystem: PostgreSQL has a large and active community with extensive documentation, plug-ins, and third-party tools available for developers. AlaSQL may have a smaller community and ecosystem in comparison, which could impact support and resources available for users.
Performance and Use Cases: PostgreSQL is well-suited for data warehousing, complex queries, and high-volume transactional applications due to its robust architecture and features. AlaSQL, being an in-memory database, excels in scenarios where high-speed data processing and quick data retrieval are critical, such as real-time analytics or temporary data storage.

In Summary, AlaSQL and PostgreSQL differ in database type, scalability, SQL compatibility, transaction support, community and ecosystem, and performance, catering to different use cases and application requirements.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs

CLI (Node.js)

Manual

Advice on PostgreSQL, AlaSQL

Kyle

Web Application Developer at Redacted DevWorks

Dec 3, 2019

Decidedon

PostGIS

While there's been some very clever techniques that has allowed non-natively supported geo querying to be performed, it is incredibly slow in the long game and error prone at best.

MySQL finally introduced it's own GEO functions and special indexing operations for GIS type data. I prototyped with this, as MySQL is the most familiar database to me. But no matter what I did with it, how much tuning i'd give it, how much I played with it, the results would come back inconsistent.

It was very disappointing.

I figured, at this point, that SQL Server, being an enterprise solution authored by one of the biggest worldwide software developers in the world, Microsoft, might contain some decent GIS in it.

I was very disappointed.

Postgres is a Database solution i'm still getting familiar with, but I noticed it had no built in support for GIS. So I hilariously didn't pay it too much attention. That was until I stumbled upon PostGIS and my world changed forever.

449k views449k

Comments

George

Student

Mar 18, 2020

Needs adviceon

PostgreSQL

Python

Django

Hello everyone,

Well, I want to build a large-scale project, but I do not know which ORDBMS to choose. The app should handle real-time operations, not chatting, but things like future scheduling or reminders. It should be also really secure, fast and easy to use. And last but not least, should I use them both. I mean PostgreSQL with Python / Django and MongoDB with Node.js? Or would it be better to use PostgreSQL with Node.js?

*The project is going to use React for the front-end and GraphQL is going to be used for the API.

Thank you all. Any answer or advice would be really helpful!

620k views620k

Comments

Navraj

CEO at SuPragma

Apr 16, 2020

Needs adviceon

MySQL

PostgreSQL

I asked my last question incorrectly. Rephrasing it here.

I am looking for the most secure open source database for my project I'm starting: https://github.com/SuPragma/SuPragma/wiki

Which database is more secure? MySQL or PostgreSQL? Are there others I should be considering? Is it possible to change the encryption keys dynamically?

Thanks,

Raj

401k views401k

Comments

Detailed Comparison

PostgreSQL	AlaSQL
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.	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.
-	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
GitHub Stars 19.0K	GitHub Stars -
GitHub Forks 5.2K	GitHub Forks -
Stacks 103.0K	Stacks 41
Followers 83.9K	Followers 36
Votes 3.6K	Votes 0
Pros & Cons
Pros 765 Relational database 511 High availability 439 Enterprise class database 383 Sql 304 Sql + nosql Cons 10 Table/index bloatings	No community feedback yet
Integrations
No integrations available	JavaScript Node.js

What are some alternatives to PostgreSQL, AlaSQL?

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.

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 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

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

AlaSQL vs PostgreSQL: What are the differences?

Introduction:

AlaSQL and PostgreSQL are both popular relational database management systems, each with its own unique features and capabilities.

Database Type: AlaSQL is an in-memory SQL database that operates directly in the browser or Node.js environment, whereas PostgreSQL is a traditional client-server database system that stores data persistently on disk.
Scalability: PostgreSQL is highly scalable and can efficiently handle large volumes of data and complex queries, making it suitable for enterprise-level applications. In contrast, AlaSQL is more suited for smaller-scale applications and projects due to its in-memory nature.
SQL Compatibility: PostgreSQL adheres to industry-standard SQL syntax and supports a wide range of SQL features and functions, making it compatible with many SQL-based applications and tools. On the other hand, AlaSQL has limited SQL compatibility and may not support all SQL functionalities found in traditional databases like PostgreSQL.
Transaction Support: PostgreSQL offers robust transaction support with ACID (Atomicity, Consistency, Isolation, Durability) properties, ensuring data integrity and reliability in multi-user environments. AlaSQL, being an in-memory database, may have limitations in supporting complex transactional operations compared to PostgreSQL.
Community and Ecosystem: PostgreSQL has a large and active community with extensive documentation, plug-ins, and third-party tools available for developers. AlaSQL may have a smaller community and ecosystem in comparison, which could impact support and resources available for users.
Performance and Use Cases: PostgreSQL is well-suited for data warehousing, complex queries, and high-volume transactional applications due to its robust architecture and features. AlaSQL, being an in-memory database, excels in scenarios where high-speed data processing and quick data retrieval are critical, such as real-time analytics or temporary data storage.

AlaSQL vs PostgreSQL

Overview