DBMS > DolphinDB vs. Firebase Realtime Database vs. H2GIS vs. Microsoft Azure AI Search vs. Oracle Rdb

System Properties Comparison DolphinDB vs. Firebase Realtime Database vs. H2GIS vs. Microsoft Azure AI Search vs. Oracle Rdb

Editorial information provided by DB-Engines

Name

Description

DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.

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

Spatial extension of H2

Search-as-a-service for web and mobile app development

Primary database model

Secondary database models

Relational DBMS

Vector DBMS

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

Score	4.13
Rank	#80	Overall
	#6	Time Series DBMS

Score	14.29
Rank	#39	Overall
	#6	Document stores

Score	0.00
Rank	#383	Overall
	#7	Spatial DBMS

Score	5.59
Rank	#63	Overall
	#7	Search engines

Score	1.08
Rank	#184	Overall
	#85	Relational DBMS

Website

www.dolphindb.com

firebase.google.com/products/realtime-database

www.h2gis.org

azure.microsoft.com/en-us/services/search

www.oracle.com/database/technologies/related/rdb.html

Technical documentation

docs.dolphindb.cn/en/help200/index.html

firebase.google.com/docs/database

www.h2gis.org/docs/home

learn.microsoft.com/en-us/azure/search

www.oracle.com/database/technologies/related/rdb-doc.html

Developer

DolphinDB, Inc

Google

acquired by Google 2014

CNRS

Microsoft

Oracle, originally developed by Digital Equipment Corporation (DEC)

Initial release

2018

2012

2013

2015

1984

Current release

v2.00.4, January 2022

7.4.1.1, 2021

License

Commercial or Open Source

commercial

free community version available

commercial

Open Source

LGPL 3.0

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++

Java

Server operating systems

Linux
Windows

hosted

HP Open VMS

Data scheme

yes

schema-free

yes

Flexible Schema (defined schema, partial schema, schema free)

Typing

predefined data types such as float or date

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

SQL-like query language

yes

APIs and other access methods

JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket

Android
iOS
JavaScript API
RESTful HTTP API

RESTful HTTP API

Supported programming languages

C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust

Java
JavaScript
Objective-C

Java

C#
Java
JavaScript
Python

Server-side scripts

Stored procedures

yes

limited functionality with using 'rules'

yes

based on H2

Triggers

Callbacks are triggered when data changes

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

none

Sharding

Implicit feature of the cloud service

Replication methods

Methods for redundantly storing data on multiple nodes

yes

based on H2

yes

Implicit feature of the cloud service

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

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

yes

ACID

yes, on a single node

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

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

Administrators, Users, Groups

yes, based on authentication and database rules

yes

based on H2

yes

using Azure authentication

More information provided by the system vendor

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Related products and services

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More resources

DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

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