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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. AlaSQL vs RethinkDB

AlaSQL vs RethinkDB

OverviewComparisonAlternatives

Overview

RethinkDB
RethinkDB
Stacks292
Followers406
Votes307
GitHub Stars27.0K
Forks1.9K
AlaSQL
AlaSQL
Stacks41
Followers36
Votes0

AlaSQL vs RethinkDB: What are the differences?

  1. Data Model: AlaSQL is an in-memory SQL database that operates with JSON data, while RethinkDB is a distributed database that uses a document-based data model allowing for flexible schema design.
  2. Query Language: AlaSQL supports SQL querying language, whereas RethinkDB uses its own query language called ReQL (RethinkDB Query Language) which is specifically designed for interacting with JSON documents.
  3. Scalability: RethinkDB is built for scalability and can easily handle large amounts of data across multiple nodes in a distributed environment, while AlaSQL is best suited for small to medium-sized datasets due to its in-memory nature.
  4. Real-time Push Feed: RethinkDB provides real-time push feed functionality which allows applications to subscribe to changes in data in real-time, while AlaSQL does not offer this feature.
  5. Architecture: RethinkDB is a NoSQL database designed for real-time applications, focusing on fast queries and high availability, whereas AlaSQL is primarily designed for rapid querying on client-side applications without the need for a server connection.
  6. Community Support: RethinkDB has a strong community and active development, with ongoing support and updates, while AlaSQL has a smaller user base and may have limitations in terms of support and comprehensive documentation.

In Summary, AlaSQL is an in-memory SQL database for client-side applications with JSON data, while RethinkDB is a distributed database designed for real-time applications with a document-based data model.

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Detailed Comparison

RethinkDB
RethinkDB
AlaSQL
AlaSQL

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.

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.

JSON data model and immediate consistency.;Distributed joins, subqueries, aggregation, atomic updates.;Secondary, compound, and arbitrarily computed indexes.;Hadoop-style map/reduce.;Friendly web and command-line administration tools.;Takes care of machine failures and network interrupts.;Multi-datacenter replication and failover.;Sharding and replication to multiple nodes.;Queries are automatically parallelized and distributed.;Lock-free operation via MVCC concurrency.
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
27.0K
GitHub Stars
-
GitHub Forks
1.9K
GitHub Forks
-
Stacks
292
Stacks
41
Followers
406
Followers
36
Votes
307
Votes
0
Pros & Cons
Pros
  • 48
    Powerful query language
  • 46
    Excellent dashboard
  • 42
    JSON
  • 41
    Distributed database
  • 38
    Open source
No community feedback yet
Integrations
Amazon EC2
Amazon EC2
JavaScript
JavaScript
Node.js
Node.js

What are some alternatives to RethinkDB, 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.

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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