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DBMS > c-treeACE vs. Kinetica vs. ObjectBox

System Properties Comparison c-treeACE vs. Kinetica vs. ObjectBox

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Editorial information provided by DB-Engines
Namec-treeACE  Xexclude from comparisonKinetica  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionHigh speed key-value store, desgined for high availability, mission critical applications with automatic recovery and immediately consistent transaction support.GPU-accelerated database for real-time analysis of large and streaming datasetsExtremely fast embedded database for small devices, IoT and Mobile
Primary database modelKey-value store
Relational DBMS
Relational DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.52
Rank#206  Overall
#34  Key-value stores
#99  Relational DBMS
Score0.57
Rank#198  Overall
#96  Relational DBMS
Score0.48
Rank#210  Overall
#12  Object oriented DBMS
Websitewww.faircom.com/­-products/­-c-treeacewww.kinetica.comobjectbox.io
Technical documentationlearn.faircomcorp.com/­developers/­documentation_directorywww.kinetica.com/­docsdocs.objectbox.io
DeveloperFairCom CorporationKineticaObjectBox Limited
Initial release197920122017
Current releaseV11.5, November 20176.0
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++C, C++C and C++
Server operating systemsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
LinuxAndroid
iOS
Linux
macOS
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infoANSI SQL queriesSQL-like DML and DDL statementsno
APIs and other access methodsADO.NET
Direct SQL
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Proprietary native API
Supported programming languages.Net
C
C#
C++
Java
JavaScript
PHP
Python
Visual Basic
C++
Java
JavaScript (Node.js)
Python
C
Go
Java
JavaScript infoplanned (as of Jan 2019)
Python infoplanned (as of Jan 2019)
Swift
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++user defined functionsno
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsMaster-slave replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMno
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access rights for users and roles on table levelyes
More information provided by the system vendor
c-treeACEKineticaObjectBox
Specific characteristicsSpeed, reliability and consistency are the reasons businesses choose FairCom’s c-treeACE...
» more
Competitive advantagesTop Features High-speed transaction processing Immediately consistent, ACID-compliant,...
» more
Typical application scenariosc-treeACE speed, reliability, and flexibility are direct reasons this technology...
» more
Key customersVISA, UPS, Verizon, Motorola, CommVault, Thomson Reuters, ACI, BNY Mellon, Rockwell...
» more
Market metricsFrom banking and financial transactions, transportation, warehouse automation, package...
» more
Licensing and pricing modelsJust as the technical aspects of c-treeACE are flexible to meet operation requirements,...
» more
News

MoodSpace Mobile App Use Case
20 January 2020

ObjectBox Go 1.1
16 December 2019

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

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

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More resources
c-treeACEKineticaObjectBox
Recent citations in the news

FairCom and Software AG sign new contract for c-treeACE Database
22 March 2019, PRNewswire

Database leader FairCom releases c-treeACE V11.5
8 November 2017, PR Newswire

Database leader FairCom celebrates 40 years of providing fast, reliable solutions
6 November 2019, Yahoo Finance

FairCom to feature #ctreeEDGE IoT Database at LiveWorx19
4 June 2019, PRNewswire

Verizon awards database contract to FairCom
26 September 2018, Markets Insider

provided by Google News

GPU Database – Know Factors Driving the Market to Record Growth | Kinetica, Omnisci, Sqream
22 January 2020, The Market Journal

The insideBIGDATA IMPACT 50 List for Q1 2020
14 January 2020, insideBIGDATA

Kinetica Active Analytics Platform Releases Out-of-Box Support for NVIDIA RAPIDS, Delivering Massive Performance Boost to Predictive Data Analytics
5 November 2019, Business Wire

GPU Database Market 2020 to 2023 Booming Trends, Share, Growth Challenges, Key Players, Industry Segments & Competitors Analysis
3 January 2020, MENAFN.COM

The Kinetica Active Analytics Platform and RAPIDS Now Available on Oracle Cloud Infrastructure to Accelerate Predictive Data Analytics Performance
19 November 2019, Yahoo Finance

provided by Google News

ObjectBox has built a distributed database for the IoT
17 September 2019, Stacey on IoT

Object-Oriented Databases Software Market Research Report, Growth Forecast 2025
22 January 2020, News by aeresearch

Munich-founded database startup ObjectBox raises $2 million
3 December 2018, Tech.eu

Worldwide Object-Oriented Databases Software Market Study for 2019 to 2024 provi
2 January 2020, ITResearchBrief.com

InfluxData and the TICK stack for IoT data streaming
20 February 2018, Stacey on IoT

provided by Google News

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