DBMS > c-treeACE vs. Microsoft Azure SQL Data Warehouse vs. ObjectBox vs. SQLite

System Properties Comparison c-treeACE vs. Microsoft Azure SQL Data Warehouse vs. ObjectBox vs. SQLite

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Editorial information provided by DB-Engines

Name

Description

High speed key-value store, desgined for high availability, mission critical applications with automatic recovery and immediately consistent transaction support.

Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server

Extremely fast embedded database for small devices, IoT and Mobile

Widely used in-process RDBMS

Primary database model

Key-value store
Relational DBMS

Relational DBMS

Object oriented DBMS

Relational DBMS

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

Score	0.52
Rank	#206	Overall
	#34	Key-value stores
	#98	Relational DBMS

Score	9.21
Rank	#42	Overall
	#26	Relational DBMS

Score	0.44
Rank	#215	Overall
	#12	Object oriented DBMS

Score	120.36
Rank	#11	Overall
	#7	Relational DBMS

Website

www.faircom.com/-products/-c-treeace

azure.microsoft.com/services/sql-data-warehouse

objectbox.io

www.sqlite.org

Technical documentation

learn.faircomcorp.com/developers/documentation_directory

docs.microsoft.com/azure/sql-data-warehouse

docs.objectbox.io

www.sqlite.org/docs.html

Developer

FairCom Corporation

Microsoft

ObjectBox Limited

Dwayne Richard Hipp

Initial release

1979

2016

2017

2000

Current release

V11.5, November 2017

3.30.1, October 2019

License

Commercial or Open Source

commercial info

Restricted, free version available

commercial

Open Source info

Apache License 2.0

Open Source info

Public Domain

Cloud-based only info

Only available as a cloud service

yes

DBaaS offerings (sponsored links) info

Database as a Service

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

Implementation language

ANSI C, C++

C++

C and C++

Server operating systems

AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows info

easily portable to other OSs

hosted

Android
iOS
Linux
macOS
Windows

server-less

Data scheme

Flexible Schema (defined schema, partial schema, schema free)

yes

dynamic column types

Typing

predefined data types such as float or date

yes, ANSI Standard SQL Types

yes

not rigid because of 'dynamic typing' concept.

XML support info

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

yes

ANSI SQL queries

yes

SQL-92 is not fully supported

APIs and other access methods

ADO.NET
Direct SQL
JDBC
ODBC
RESTful HTTP API

ADO.NET
JDBC
ODBC

Proprietary native API

ADO.NET

inofficial driver
JDBC info

inofficial driver
ODBC info

inofficial driver

Supported programming languages

.Net
C
C#
C++
Java
JavaScript
PHP
Python
Visual Basic

C#
Java
PHP

C
Go
Java
JavaScript info

planned (as of Jan 2019)
Python info

planned (as of Jan 2019)
Swift

Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl

Server-side scripts info

Stored procedures

yes

.Net, JavaScript, C/C++

Transact SQL

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

File partitioning, horizontal partitioning, sharding info

Customizable business rules for table partitioning

Sharding, horizontal partitioning

none

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

Synchronous and asynchronous realtime replication based on transaction logs

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency
Tunable Consistency

Immediate Consistency

Foreign keys info

Referential integrity

yes

when using SQL

yes

Transaction concepts info

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

ACID

Concurrency info

Support for concurrent manipulation of data

yes

across SQL and NoSQL

yes

via file-system locks

Durability info

Support for making data persistent

yes

In-memory capabilities info

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

yes

User concepts info

Access control

Fine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.

yes

More information provided by the system vendor

Specific characteristics

Speed, reliability and consistency are the reasons businesses choose FairComâ€™s c-treeACE...
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Competitive advantages

Top Features High-speed transaction processing Immediately consistent, ACID-compliant,...
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Typical application scenarios

c-treeACE speed, reliability, and flexibility are direct reasons this technology...
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Key customers

VISA, UPS, Verizon, Motorola, CommVault, Thomson Reuters, ACI, BNY Mellon, Rockwell...
» more

Market metrics

From banking and financial transactions, transportation, warehouse automation, package...
» more

Licensing and pricing models

Just as the technical aspects of c-treeACE are flexible to meet operation requirements,...
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News

ObjectBox EdgeX v1.1 – database with ARM32 support
27 November 2019

Sync.Drone: a drone project based on ObjectBox
20 November 2019

ObjectBox Java 2.4
15 October 2019

The best IoT Databases for the Edge – an overview and compact guide
10 October 2019

ObjectBox Swift 1.0 Released
24 September 2019

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