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DBMS > AnzoGraph vs. c-treeACE vs. ObjectBox vs. SQLite

System Properties Comparison AnzoGraph vs. c-treeACE vs. ObjectBox vs. SQLite

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Editorial information provided by DB-Engines
NameAnzoGraph  Xexclude from comparisonc-treeACE  Xexclude from comparisonObjectBox  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionGraph Analytics Database (OLAP) that is MPP and standards-basedHigh speed key-value store, desgined for high availability, mission critical applications with automatic recovery and immediately consistent transaction support.Extremely fast embedded database for small devices, IoT and MobileWidely used in-process RDBMS
Primary database modelGraph DBMS
RDF store
Key-value store
Relational DBMS
Object oriented DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#284  Overall
#26  Graph DBMS
#16  RDF stores
Score0.52
Rank#206  Overall
#34  Key-value stores
#98  Relational DBMS
Score0.44
Rank#215  Overall
#12  Object oriented DBMS
Score120.36
Rank#11  Overall
#7  Relational DBMS
Websitewww.anzograph.comwww.faircom.com/­-products/­-c-treeaceobjectbox.iowww.sqlite.org
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmlearn.faircomcorp.com/­developers/­documentation_directorydocs.objectbox.iowww.sqlite.org/­docs.html
DeveloperCambridge SemanticsFairCom CorporationObjectBox LimitedDwayne Richard Hipp
Initial release2018197920172000
Current release1904.0, April 2019V11.5, November 20173.30.1, October 2019
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availableOpen Source infoApache License 2.0Open Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenononono
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++C
Server operating systemsLinuxAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Android
iOS
Linux
macOS
Windows
server-less
Data schemeyes infoRDF schemasFlexible Schema (defined schema, partial schema, schema free)yesyes infodynamic column types
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesyes infonot rigid because of 'dynamic typing' concept.
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.nononono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageyes infoANSI SQL queriesnoyes infoSQL-92 is not fully supported
APIs and other access methodsgRPC
JDBC
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
Direct SQL
JDBC
ODBC
RESTful HTTP API
Proprietary native APIADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesC++
Java
.Net
C
C#
C++
Java
JavaScript
PHP
Python
Visual Basic
C
Go
Java
JavaScript infoplanned (as of Jan 2019)
Python infoplanned (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 infoStored proceduresuser defined functionsyes info.Net, JavaScript, C/C++nono
Triggersnoyesnoyes
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 logsnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyes infowhen using SQLyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyes infovia file-system locks
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.yesno
More information provided by the system vendor
AnzoGraphc-treeACEObjectBoxSQLite
Specific characteristicsAnzoGraph® is a native, Massively Parallel Processing (MPP) distributed Graph OLAP...
» more
Speed, reliability and consistency are the reasons businesses choose FairCom’s c-treeACE...
» more
Competitive advantagesMost solutions in the graph database market are geared toward Online Transactional...
» more
Top Features High-speed transaction processing Immediately consistent, ACID-compliant,...
» more
Typical application scenariosDevelopers can use AnzoGraph to build and execute data warehouse-style BI analytics,...
» more
c-treeACE speed, reliability, and flexibility are direct reasons this technology...
» more
Key customersAnzograph has customers in biotech, pharma, financial services and other verticals.
» more
VISA, 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 modelsPricing is based primarily on number of nodes needed to perform workload. AnzoGraph...
» more
Just as the technical aspects of c-treeACE are flexible to meet operation requirements,...
» more
News

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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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