DBMS > DolphinDB vs. Firebase Realtime Database vs. Google Cloud Bigtable

System Properties Comparison DolphinDB vs. Firebase Realtime Database vs. Google Cloud Bigtable

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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.

Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.

Primary database model

Time Series DBMS

Document store

Key-value store
Wide column store

Secondary database models

Relational DBMS

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

Score	1.65
Rank	#140	Overall
	#9	Time Series DBMS

Score	18.92
Rank	#39	Overall
	#6	Document stores

Score	4.26
Rank	#86	Overall
	#14	Key-value stores
	#6	Wide column stores

Website

www.dolphindb.com

firebase.google.com/products/realtime-database

cloud.google.com/bigtable

Technical documentation

www.dolphindb.com/help

firebase.google.com/docs/database

cloud.google.com/bigtable/docs

Developer

DolphinDB, Inc

Google

acquired by Google 2014

Google

Initial release

2018

2012

2015

Current release

v2.00.4, January 2022

License

Commercial or Open Source

commercial

free community version available

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++

Server operating systems

Linux
Windows

hosted

Data scheme

yes

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

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

gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)

Supported programming languages

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

Java
JavaScript
Objective-C

C#
C++
Go
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

yes

limited functionality with using 'rules'

Triggers

Callbacks are triggered when data changes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Internal replication in Colossus, and regional replication between two clusters in different zones

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 (for a single cluster), Eventual consistency (for two or more replicated clusters)

Foreign keys

Referential integrity

Transaction concepts

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

yes

Atomic single-row operations

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

Administrators, Users, Groups

yes, based on authentication and database rules

Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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

show all

Recent citations in the news

DolphinDB bags $15m and 14 more deal updates from Greater China
10 December 2021, DealStreetAsia

provided by Google News

Supabase raises $80M Series B for its open source Firebase alternative
10 May 2022, TechCrunch

How to migrate your user data from Google Firebase
24 May 2022, Security Boulevard

Google's Firebase app development platform gets updates and security boosts
11 May 2022, SiliconANGLE News

How to Upload Files to Firebase Storage Using React.js - MUO
14 May 2022, MakeUseOf

Fauna Announces New Data Management Capabilities, SOC 2 Type 2 Attainment, and New Marketing Leader to Accelerate Broad Based Enterprise Adoption
24 May 2022, Yahoo Finance

provided by Google News

Google unveils cloud region in Madrid
25 May 2022, Capacity Media

Google Needs Another Database To Attack Oracle, DB2, And SQL Server Directly
16 May 2022, The Next Platform

Google Introduces Autoscaling for Cloud Bigtable for Optimizing Costs
31 January 2022, InfoQ.com

Database as a Service (DBaaS) Provider Market 2022 Segments Analysis by Top Key Players :IBM, Zoho Creator, Ninox, AWS, Oracle, MongoDB Atlas, Beats, Azure, Aiven, Kintone, Fusioo, Google Cloud Bigtable, SAP, DataStax, Caspio – ManufactureLink
27 May 2022, ManufactureLink

Google Cloud Improves SLA for Bigtable and Adds New Security Features
19 June 2021, InfoQ.com

provided by Google News

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