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  5. CometD vs SurrealDB

CometD vs SurrealDB

OverviewComparisonAlternatives

Overview

CometD
CometD
Stacks22
Followers34
Votes0
SurrealDB
SurrealDB
Stacks43
Followers46
Votes0
GitHub Stars30.3K
Forks1.1K

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CLI (Node.js)
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Detailed Comparison

CometD
CometD
SurrealDB
SurrealDB

It is a web server to push data to a browser, without the browser explicitly requesting it. It is an umbrella term, encompassing multiple techniques for achieving this interaction.

SurrealDB is a newsql multi-model database, that operates in schemafull or schemaless mode, with tables, inter-document record links (no JOINs), and graph database modelling functionality.

Javascript Client; Publish/Subscribe Messaging; Service Channels; Private Message Delivery; Lazy Messages; Message Batching; Listeners, Data Filters and Extensions; Security Policy
Database server, or embedded library; Multi-row, multi-table ACID transactions; Single-node, or highly-scalable distributed mode; Record links and directed typed graph connections; Store structured and unstructured data; Incrementally computed views for pre-computed advanced analytics; Realtime-api layer, and security permissions built in; Store and model data in any way with tables, documents, and graph; Simple schema definition for frontend and backend development; Connect and query directly from web-browsers and client devices; Use embedded JavaScript functions for custom advanced functionality
Statistics
GitHub Stars
-
GitHub Stars
30.3K
GitHub Forks
-
GitHub Forks
1.1K
Stacks
22
Stacks
43
Followers
34
Followers
46
Votes
0
Votes
0
Integrations
JavaScript
JavaScript
Node.js
Node.js
AngularJS
AngularJS
Dojo
Dojo
jQuery
jQuery
Golang
Golang
Node.js
Node.js
JavaScript
JavaScript
Ember.js
Ember.js
Rust
Rust
WebAssembly
WebAssembly
Deno
Deno

What are some alternatives to CometD, SurrealDB?

NGINX

NGINX

nginx [engine x] is an HTTP and reverse proxy server, as well as a mail proxy server, written by Igor Sysoev. According to Netcraft nginx served or proxied 30.46% of the top million busiest sites in Jan 2018.

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.

Firebase

Firebase

Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.

Apache HTTP Server

Apache HTTP Server

The Apache HTTP Server is a powerful and flexible HTTP/1.1 compliant web server. Originally designed as a replacement for the NCSA HTTP Server, it has grown to be the most popular web server on the Internet.

Socket.IO

Socket.IO

It enables real-time bidirectional event-based communication. It works on every platform, browser or device, focusing equally on reliability and speed.

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.

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