DBMS > Apache Hive vs. Firebase Realtime Database vs. OrigoDB

System Properties Comparison Apache Hive vs. Firebase Realtime Database vs. OrigoDB

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Editorial information provided by DB-Engines

Name

Description

data warehouse software for querying and managing large distributed datasets, built on Hadoop

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

A fully ACID in-memory object graph database

Primary database model

Relational DBMS

Document store

Document store
Object oriented DBMS

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

Score	72.65
Rank	#18	Overall
	#12	Relational DBMS

Score	13.15
Rank	#39	Overall
	#6	Document stores

Score	0.00
Rank	#382	Overall
	#54	Document stores
	#20	Object oriented DBMS

Website

hive.apache.org

firebase.google.com/products/realtime-database

origodb.com

Technical documentation

cwiki.apache.org/confluence/display/Hive/Home

firebase.google.com/docs/database

origodb.com/docs

Developer

Apache Software Foundation

initially developed by Facebook

Google

acquired by Google 2014

Robert Friberg et al

Initial release

2012

2009

under the name LiveDB

Current release

3.1.3, April 2022

License

Commercial or Open Source

Open Source

Apache Version 2

commercial

Open Source

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Server operating systems

All OS with a Java VM

hosted

Linux
Windows

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

User defined using .NET types and collections

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.

can be achieved using .NET

Secondary indexes

yes

SQL

Support of SQL

SQL-like DML and DDL statements

APIs and other access methods

JDBC
ODBC
Thrift

Android
iOS
JavaScript API
RESTful HTTP API

.NET Client API
HTTP API
LINQ

Supported programming languages

C++
Java
PHP
Python

Java
JavaScript
Objective-C

.Net

Server-side scripts

Stored procedures

yes

user defined functions and integration of map-reduce

limited functionality with using 'rules'

yes

Triggers

Callbacks are triggered when data changes

yes

Domain Events

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning

client side managed; servers are not synchronized

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

query execution via MapReduce

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

if the client is offline
Immediate Consistency

if the client is online

Foreign keys

Referential integrity

depending on model

Transaction concepts

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

yes

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

Write ahead log

In-memory capabilities

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

yes

User concepts

Access control

Access rights for users, groups and roles

yes, based on authentication and database rules

Role based authorization

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More resources

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