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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Firebase Realtime Database vs VelocityDB

Firebase Realtime Database vs VelocityDB

OverviewComparisonAlternatives

Overview

VelocityDB
VelocityDB
Stacks1
Followers19
Votes0
Firebase Realtime Database
Firebase Realtime Database
Stacks107
Followers229
Votes7

Firebase Realtime Database vs VelocityDB: What are the differences?

Developers describe Firebase Realtime Database as "Store and sync data in real time". It is a cloud-hosted NoSQL database that lets you store and sync data between your users in realtime. Data is synced across all clients in realtime, and remains available when your app goes offline. On the other hand, VelocityDB is detailed as "A NoSQL Object Database, extended as Graph Database is VelocityGraph". It is a C# .NET NoSQL Object Database that can be Embedded/Distributed, extended as Graph Database is VelocityGraph. It supports both embedded and distributed deployments.

Firebase Realtime Database and VelocityDB can be categorized as "NoSQL Database as a Service" tools.

Some of the features offered by Firebase Realtime Database are:

  • Real time syncing for JSON data
  • Collaborate across devices with ease
  • Build serverless apps

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

  • Acid Transactional
  • Android
  • Any CPU (32bit/64bit)

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Detailed Comparison

VelocityDB
VelocityDB
Firebase Realtime Database
Firebase Realtime Database

It is a C# .NET NoSQL Object Database that can be Embedded/Distributed, extended as Graph Database is VelocityGraph. It supports both embedded and distributed deployments.

It is a cloud-hosted NoSQL database that lets you store and sync data between your users in realtime. Data is synced across all clients in realtime, and remains available when your app goes offline.

Acid Transactional; Android; Any CPU (32bit/64bit); Array support; Auto Increment on a field; Backup & Restore; Choice of data structure to use; Compression of data; Data Fragmentation
Real time syncing for JSON data;Collaborate across devices with ease;Build serverless apps;Optimized for offline use;Strong user-based security
Statistics
Stacks
1
Stacks
107
Followers
19
Followers
229
Votes
0
Votes
7
Pros & Cons
No community feedback yet
Pros
  • 7
    Very fast
  • 0
    Casandra
Cons
  • 2
    Poor query
Integrations
MySQL
MySQL
PostgreSQL
PostgreSQL
Velocity.js
Velocity.js
.NET
.NET
GraphQL
GraphQL
C#
C#
C++
C++
iOS
iOS
Unity
Unity
Firebase Authentication
Firebase Authentication
Android OS
Android OS
Cloud Functions for Firebase
Cloud Functions for Firebase

What are some alternatives to VelocityDB, Firebase Realtime Database?

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.

RethinkDB

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.

Amazon DynamoDB

Amazon DynamoDB

With it , you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use.

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