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

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

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonApache Doris  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDatastax Enterprise  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 networksDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument store
Key-value store
Wide column store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector 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
Score5.93
Rank#56  Overall
#4  Wide column stores
Websitecambridgesemantics.com/­anzographdoris.apache.org
github.com/­apache/­doris
atos.net/en/convergence-creators/portfolio/standard-common-repositorywww.datastax.com/­products/­datastax-enterprise
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmgithub.com/­apache/­doris/­wikidocs.datastax.com
DeveloperCambridge SemanticsApache Software Foundation, originally contributed from BaiduAtos Convergence CreatorsDataStax
Initial release2018201720162011
Current release2.3, January 20211.2.2, February 202317036.8, April 2020
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava
Server operating systemsLinuxLinuxLinuxLinux
OS X
Data schemeSchema-free and OWL/RDFS-schema supportyesSchema and schema-less with LDAP viewsschema-free
Typing infopredefined data types such as float or dateyesoptionalyes
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.yesnoSQL-like DML and DDL statements (CQL); Spark SQL
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
MySQL client
LDAPProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Supported programming languagesC++
Java
Python
JavaAll languages with LDAP bindingsC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsnono
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardinghorizontal partitioningSharding infocell divisionSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusternoneyesconfigurable replication factor, datacenter aware, advanced replication for edge computing
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Foreign keys infoReferential integrityno infonot needed in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnoyesyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardLDAP bind authenticationAccess rights for users can be defined per object
More information provided by the system vendor
AnzoGraph DBApache DorisAtos Standard Common RepositoryDatastax Enterprise
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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AnzoGraph DBApache DorisAtos Standard Common RepositoryDatastax Enterprise
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