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  5. SurrealDB vs WCF

SurrealDB vs WCF

OverviewComparisonAlternatives

Overview

WCF
WCF
Stacks125
Followers107
Votes5
SurrealDB
SurrealDB
Stacks43
Followers46
Votes0
GitHub Stars30.3K
Forks1.1K

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Detailed Comparison

WCF
WCF
SurrealDB
SurrealDB

It is a framework for building service-oriented applications. Using this, you can send data as asynchronous messages from one service endpoint to another. A service endpoint can be part of a continuously available service hosted by IIS, or it can be a service hosted in an application.

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.

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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
125
Stacks
43
Followers
107
Followers
46
Votes
5
Votes
0
Pros & Cons
Pros
  • 5
    Classes
No community feedback yet
Integrations
No integrations available
Golang
Golang
Node.js
Node.js
JavaScript
JavaScript
Ember.js
Ember.js
Rust
Rust
WebAssembly
WebAssembly
Deno
Deno

What are some alternatives to WCF, SurrealDB?

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.

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.

Kafka

Kafka

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

RabbitMQ

RabbitMQ

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

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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