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DBMS > c-treeACE vs. Google BigQuery vs. ObjectBox

System Properties Comparison c-treeACE vs. Google BigQuery vs. ObjectBox

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Editorial information provided by DB-Engines
Namec-treeACE  Xexclude from comparisonGoogle BigQuery  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.Large scale data warehouse service with append-only tablesExtremely 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
Score26.76
Rank#26  Overall
#15  Relational DBMS
Score0.48
Rank#210  Overall
#12  Object oriented DBMS
Websitewww.faircom.com/­-products/­-c-treeacecloud.google.com/­bigqueryobjectbox.io
Technical documentationlearn.faircomcorp.com/­developers/­documentation_directorycloud.google.com/­bigquery/­docsdocs.objectbox.io
DeveloperFairCom CorporationGoogleObjectBox Limited
Initial release197920102017
Current releaseV11.5, November 2017
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI 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
hostedAndroid
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 indexesyesnoyes
SQL infoSupport of SQLyes infoANSI SQL queriesyesno
APIs and other access methodsADO.NET
Direct SQL
JDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIProprietary native API
Supported programming languages.Net
C
C#
C++
Java
JavaScript
PHP
Python
Visual Basic
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
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 functions infoin JavaScriptno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataACID
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.yesnono
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)yes
More information provided by the system vendor
c-treeACEGoogle BigQueryObjectBox
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
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We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
c-treeACEGoogle BigQueryObjectBox
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Recent citations in the news

FairCom names new senior sales director
27 January 2020, PRNewswire

FairCom joins INCITS committee that defines GQL, SQL standards
21 January 2020, Yahoo Finance

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

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23 March 2016, ZDNet

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17 September 2019, Stacey on IoT

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22 January 2020, News by aeresearch

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

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