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DBMS > AnzoGraph DB vs. Apache Doris vs. Atos Standard Common Repository vs. Faircom DB

System Properties Comparison AnzoGraph DB vs. Apache Doris vs. Atos Standard Common Repository vs. Faircom DB

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NameAnzoGraph DB  Xexclude from comparisonApache Doris  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationAn MPP-based analytics DBMS embracing the MySQL protocolHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument store
Key-value store
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Websitecambridgesemantics.com/­anzographdoris.apache.org
github.com/­apache/­doris
atos.net/en/convergence-creators/portfolio/standard-common-repositorywww.faircom.com/­products/­faircom-db
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmgithub.com/­apache/­doris/­wikidocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.html
DeveloperCambridge SemanticsApache Software Foundation, originally contributed from BaiduAtos Convergence CreatorsFairCom Corporation
Initial release2018201720161979
Current release2.3, January 20211.2.2, February 20231703V12, November 2020
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2.0commercialcommercial infoRestricted, free version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaANSI C, C++
Server operating systemsLinuxLinuxLinuxAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Data schemeSchema-free and OWL/RDFS-schema supportyesSchema and schema-less with LDAP viewsschema free, schema optional, schema required, partial schema,
Typing infopredefined data types such as float or dateyesoptionalyes, ANSI SQL Types, JSON, typed binary structures
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.nonoyesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yesnoyes, ANSI SQL with proprietary extensions
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
MySQL client
LDAPADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
Supported programming languagesC++
Java
Python
JavaAll languages with LDAP bindings.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsnoyes info.Net, JavaScript, C/C++
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardinghorizontal partitioningSharding infocell divisionFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusternoneyesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Foreign keys infoReferential integrityno infonot needed in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationstunable from ACID to Eventually Consistent
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesYes, tunable from durable to delayed durability to in-memory
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardLDAP bind authenticationFine grained access rights according to SQL-standard with additional protections for files

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More resources
AnzoGraph DBApache DorisAtos Standard Common RepositoryFaircom DB infoformerly c-treeACE
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