DBMS > Amazon Aurora vs. Microsoft SQL Server vs. ObjectBox vs. Oracle Coherence vs. searchxml

System Properties Comparison Amazon Aurora vs. Microsoft SQL Server vs. ObjectBox vs. Oracle Coherence vs. searchxml

Editorial information provided by DB-Engines

Name

Description

MySQL and PostgreSQL compatible cloud service by Amazon

Microsofts flagship relational DBMS

Extremely fast embedded database for small devices, IoT and Mobile

Oracles in-memory data grid solution

DBMS for structured and unstructured content wrapped with an application server

Primary database model

Relational DBMS

Object oriented DBMS

Key-value store

Native XML DBMS
Search engine

Secondary database models

Document store

Document store
Graph DBMS
Spatial DBMS

Time Series DBMS

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

Score	8.50
Rank	#49	Overall
	#31	Relational DBMS

Score	829.80
Rank	#3	Overall
	#3	Relational DBMS

Score	1.22
Rank	#172	Overall
	#5	Object oriented DBMS

Score	2.02
Rank	#131	Overall
	#22	Key-value stores

Score	0.01
Rank	#386	Overall
	#7	Native XML DBMS
	#24	Search engines

Website

aws.amazon.com/rds/aurora

www.microsoft.com/en-us/sql-server

objectbox.io

www.oracle.com/java/coherence

www.searchxml.net/category/products

Technical documentation

docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/CHAP_Aurora.html

learn.microsoft.com/en-US/sql/sql-server

docs.objectbox.io

docs.oracle.com/en/middleware/standalone/coherence

www.searchxml.net/support/handouts

Developer

Amazon

Microsoft

ObjectBox Limited

Oracle

informationpartners gmbh

Initial release

2015

1989

2017

2007

2015

Current release

SQL Server 2022, November 2022

14.1, August 2023

1.0

License

Commercial or Open Source

commercial

restricted free version is available

Open Source

Apache License 2.0

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++

C and C++

Java

C++

Server operating systems

hosted

Linux
Windows

Android
iOS
Linux
macOS
Windows

All OS with a Java VM

Windows

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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

ADO.NET
JDBC
ODBC

ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)

Proprietary native API

JCache
JPA
RESTful HTTP API

RESTful HTTP API
WebDAV
XQuery
XSLT

Supported programming languages

Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic

C
C++
Dart
Go
Java
JavaScript

planned (as of Jan 2019)
Kotlin
Python

planned (as of Jan 2019)
Swift

.Net
C++
Java

C++

most other programming languages supported via APIs

Server-side scripts

Stored procedures

yes

Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java

yes

on the application server

Triggers

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

tables can be distributed across several files (horizontal partitioning); sharding through federation

none

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

yes, but depending on the SQL-Server Edition

online/offline synchronization between client and server

yes, with selectable consistency level

yes

sychronisation to multiple collections

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Immediate Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

configurable

multiple readers, single writer

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

optionally

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

fine grained access rights according to SQL-standard

yes

authentification to access the cache via certificates or http basic authentication

Domain, group and role-based access control at the document level and for application services

More information provided by the system vendor

News

Edge AI: The era of on-device AI
23 April 2024

In-Memory Database Use Cases
15 February 2024

Data Viewer for Objects – announcing ObjectBox Admin
14 November 2023

Vector Databases for Edge AI
9 August 2023

Vector Database Release for Flutter / Dart + Python
13 June 2023

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