DBMS > Drizzle vs. Firebase Realtime Database vs. RisingWave vs. VelocityDB

System Properties Comparison Drizzle vs. Firebase Realtime Database vs. RisingWave vs. VelocityDB

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Editorial information provided by DB-Engines

Name

Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.

Description

MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.

Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.

A distributed RDBMS for stream processing, wire-compatible with PostgreSQL

A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)

Primary database model

Relational DBMS

Document store

Relational DBMS

Graph DBMS
Object oriented DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	14.29
Rank	#39	Overall
	#6	Document stores

Score	0.58
Rank	#242	Overall
	#111	Relational DBMS

Score	0.05
Rank	#358	Overall
	#36	Graph DBMS
	#16	Object oriented DBMS

Website

firebase.google.com/products/realtime-database

www.risingwave.com/database

velocitydb.com

Technical documentation

firebase.google.com/docs/database

docs.risingwave.com/docs/current/intro

velocitydb.com/UserGuide

Developer

Drizzle project, originally started by Brian Aker

Google

acquired by Google 2014

RisingWave Labs

VelocityDB Inc

Initial release

2008

2012

2022

2011

Current release

7.2.4, September 2012

1.2, September 2023

7.x

License

Commercial or Open Source

Open Source

GNU GPL

commercial

Open Source

Apache Version 2.0

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

Rust

Server operating systems

FreeBSD
Linux
OS X

hosted

Docker
Linux
macOS

Any that supports .NET

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

Standard SQL-types and JSON

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

SQL

Support of SQL

yes

with proprietary extensions

yes

APIs and other access methods

JDBC

Android
iOS
JavaScript API
RESTful HTTP API

JDBC
PostgreSQL wire protocol

.Net

Supported programming languages

C
C++
Java
PHP

Java
JavaScript
Objective-C

Go
Java
JavaScript (Node.js)
Python

.Net

Server-side scripts

Stored procedures

limited functionality with using 'rules'

UDFs in Python or Java

Triggers

hooks for callbacks inside the server can be used.

Callbacks are triggered when data changes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

if the client is offline
Immediate Consistency

if the client is online

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

yes

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Pluggable authentication mechanisms

e.g. LDAP, HTTP

yes, based on authentication and database rules

Users and Roles

Based on Windows Authentication

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More resources

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