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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Cloud Firestore vs VelocityDB

Cloud Firestore vs VelocityDB

OverviewComparisonAlternatives

Overview

VelocityDB
VelocityDB
Stacks1
Followers19
Votes0
Cloud Firestore
Cloud Firestore
Stacks751
Followers900
Votes112

Cloud Firestore vs VelocityDB: What are the differences?

Cloud Firestore: NoSQL database built for global apps. Cloud Firestore is a NoSQL document database that lets you easily store, sync, and query data for your mobile and web apps - at global scale; VelocityDB: 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.

Cloud Firestore and VelocityDB belong to "NoSQL Database as a Service" category of the tech stack.

Some of the features offered by Cloud Firestore are:

  • Documents and collections with powerful querying
  • iOS, Android, and Web SDKs with offline data access
  • Real-time data synchronization

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
Cloud Firestore
Cloud Firestore

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.

Cloud Firestore is a NoSQL document database that lets you easily store, sync, and query data for your mobile and web apps - at global scale.

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
Documents and collections with powerful querying;iOS, Android, and Web SDKs with offline data access;Real-time data synchronization;Automatic, multi-region data replication with strong consistency;Node, Python, Go, and Java server SDKs
Statistics
Stacks
1
Stacks
751
Followers
19
Followers
900
Votes
0
Votes
112
Pros & Cons
No community feedback yet
Pros
  • 15
    Easy to use
  • 15
    Cloud Storage
  • 12
    Realtime Database
  • 12
    Easy setup
  • 9
    Super fast
Cons
  • 8
    Doesn't support FullTextSearch natively
Integrations
MySQL
MySQL
PostgreSQL
PostgreSQL
Velocity.js
Velocity.js
.NET
.NET
GraphQL
GraphQL
C#
C#
Golang
Golang
Node.js
Node.js
Java
Java
Python
Python
Firebase
Firebase
Cloud Functions for Firebase
Cloud Functions for Firebase
Google Cloud Functions
Google Cloud Functions

What are some alternatives to VelocityDB, Cloud Firestore?

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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