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DBMS > AnzoGraph DB vs. Atos Standard Common Repository vs. HarperDB vs. Linter

System Properties Comparison AnzoGraph DB vs. Atos Standard Common Repository vs. HarperDB vs. Linter

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonHarperDB  Xexclude from comparisonLinter  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 virtualizationHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.RDBMS for high security requirements
Primary database modelGraph DBMS
RDF store
Document store
Key-value store
Document storeRelational DBMS
Secondary database modelsSpatial 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
Score0.55
Rank#248  Overall
#38  Document stores
Score0.09
Rank#346  Overall
#152  Relational DBMS
Websitecambridgesemantics.com/­anzographatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.harperdb.iolinter.ru
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.harperdb.io/­docs
DeveloperCambridge SemanticsAtos Convergence CreatorsHarperDBrelex.ru
Initial release2018201620171990
Current release2.3, January 202117033.1, August 2021
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialcommercial infofree community edition availablecommercial
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 languageJavaNode.jsC and C++
Server operating systemsLinuxLinuxLinux
OS X
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemeSchema-free and OWL/RDFS-schema supportSchema and schema-less with LDAP viewsdynamic schemayes
Typing infopredefined data types such as float or dateoptionalyes infoJSON data typesyes
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.noyesnono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.noSQL-like data manipulation statementsyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
LDAPJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languagesC++
Java
Python
All languages with LDAP bindings.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoCustom Functions infosince release 3.1yes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infocell divisionA table resides as a whole on one (or more) nodes in a clusternone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusteryesyes infothe nodes on which a table resides can be definedSource-replica replication
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 Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users and rolesLDAP bind authenticationAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
AnzoGraph DBAtos Standard Common RepositoryHarperDBLinter
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