DBMS > Hive vs. Realm

System Properties Comparison Hive vs. Realm

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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

A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data

Primary database model

Relational DBMS

Document store

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Score	81.58
Rank	#17	Overall
	#11	Relational DBMS

Score	10.11
Rank	#49	Overall
	#8	Document stores

Website

hive.apache.org

realm.io

Technical documentation

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

realm.io/docs

Developer

Apache Software Foundation

initially developed by Facebook

Realm, acquired by MongoDB in May 2019

Initial release

2012

2014

Current release

3.1.2, August 2019

License

Commercial or Open Source

Open Source

Apache Version 2

Open Source

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Server operating systems

All OS with a Java VM

Android
Backend: server-less
iOS
Windows

Data scheme

yes

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 DML and DDL statements

APIs and other access methods

JDBC
ODBC
Thrift

Supported programming languages

C++
Java
PHP
Python

.Net
Java

with Android only
Objective-C
React Native
Swift

Server-side scripts

Stored procedures

yes

user defined functions and integration of map-reduce

runs within the applications so server-side scripts are unnecessary

Triggers

yes

Change Listeners

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

none

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

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

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

In-Memory realm

User concepts

Access control

Access rights for users, groups and roles

yes

More information provided by the system vendor

Specific characteristics

Now a part of MongoDB Data Platform , Realm Database is the fast, easy to use, and...
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Competitive advantages

Realm ensures offline-first functionality, meaning apps run smoothly and deliver...
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Typical application scenarios

Mobile Consumer Apps First-Line Worker Apps
» more

Key customers

Cathay Pacific Royal Carribbean Cruise Lines Open Source Database powers apps built...
» more

Market metrics

Used by 100,000+ developers 2 bn installs Currently used in 40k+ applications in...
» more

Licensing and pricing models

Realm database is licensed under the Apache License v2.0.
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.