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DBMS > AnzoGraph DB vs. Apache Impala vs. Atos Standard Common Repository vs. Machbase Neo vs. Microsoft Azure AI Search

System Properties Comparison AnzoGraph DB vs. Apache Impala vs. Atos Standard Common Repository vs. Machbase Neo vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonApache Impala  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonMicrosoft Azure AI Search  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 virtualizationAnalytic DBMS for HadoopHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksTimeSeries DBMS for AIoT and BigDataSearch-as-a-service for web and mobile app development
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument store
Key-value store
Time Series DBMSSearch engine
Secondary database modelsDocument storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Websitecambridgesemantics.com/­anzographimpala.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorymachbase.comazure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmimpala.apache.org/­impala-docs.htmlmachbase.com/­dbmslearn.microsoft.com/­en-us/­azure/­search
DeveloperCambridge SemanticsApache Software Foundation infoApache top-level project, originally developed by ClouderaAtos Convergence CreatorsMachbaseMicrosoft
Initial release20182013201620132015
Current release2.3, January 20214.1.0, June 20221703V8.0, August 2023V1
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2commercialcommercial infofree test version availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC
Server operating systemsLinuxLinuxLinuxLinux
macOS
Windows
hosted
Data schemeSchema-free and OWL/RDFS-schema supportyesSchema and schema-less with LDAP viewsyesyes
Typing infopredefined data types such as float or dateyesoptionalyesyes
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.nonoyesnono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like DML and DDL statementsnoSQL-like query languageno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
LDAPgRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Supported programming languagesC++
Java
Python
All languages supporting JDBC/ODBCAll languages with LDAP bindingsC
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infouser defined functions and integration of map-reducenonono
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding infocell divisionShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusterselectable replication factoryesselectable replication factoryes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of specific operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infovolatile and lookup tableno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles infobased on Apache Sentry and KerberosLDAP bind authenticationsimple password-based access controlyes infousing Azure authentication

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More resources
AnzoGraph DBApache ImpalaAtos Standard Common RepositoryMachbase Neo infoFormer name was InfinifluxMicrosoft Azure AI Search
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