DBMS > atoti vs. Realm vs. Transwarp StellarDB

System Properties Comparison atoti vs. Realm vs. Transwarp StellarDB

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Editorial information provided by DB-Engines

Name

Description

An in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.

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

A distributed graph DBMS built for enterprise-level graph applications

Primary database model

Object oriented DBMS

Document store

Graph DBMS

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

Score	0.61
Rank	#243	Overall
	#10	Object oriented DBMS

Score	7.41
Rank	#52	Overall
	#8	Document stores

Score	0.07
Rank	#371	Overall
	#39	Graph DBMS

Website

atoti.io

realm.io

www.transwarp.cn/en/product/stellardb

Technical documentation

docs.atoti.io

realm.io/docs

Developer

ActiveViam

Realm, acquired by MongoDB in May 2019

Transwarp

Initial release

2014

License

Commercial or Open Source

commercial

free versions available

Open Source

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

Server operating systems

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

Multidimensional Expressions (MDX)

SQL-like query language

APIs and other access methods

OpenCypher

Supported programming languages

.Net
Java

with Android only
Objective-C
React Native
Swift

Server-side scripts

Stored procedures

Python

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, horizontal partitioning

none

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

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, 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

In-Memory realm

User concepts

Access control

yes

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More resources

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