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AlaSQL
AlaSQL

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PipelineDB
PipelineDB

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AlaSQL vs PipelineDB: What are the differences?

Developers describe AlaSQL as "JavaScript SQL Database for Browser and Node.js *". 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. On the other hand, *PipelineDB** is detailed as "The Streaming SQL Database". PipelineDB is an open-source relational database that runs SQL queries continuously on streams, incrementally storing results in tables.

AlaSQL and PipelineDB belong to "Databases" category of the tech stack.

Some of the features offered by AlaSQL are:

  • 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.

On the other hand, PipelineDB provides the following key features:

  • No Application Code
  • Runs on PostgreSQL
  • Eliminate ETL

AlaSQL is an open source tool with 4.81K GitHub stars and 482 GitHub forks. Here's a link to AlaSQL's open source repository on GitHub.

- No public GitHub repository available -

What is AlaSQL?

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.

What is PipelineDB?

PipelineDB is an open-source relational database that runs SQL queries continuously on streams, incrementally storing results in tables.
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          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 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.
          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.
          Microsoft SQL Server
          Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
          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.
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