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

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

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonBrytlyt  Xexclude from comparisonHarperDB  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 networksScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLUltra-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.
Primary database modelGraph DBMS
RDF store
Document store
Key-value store
Relational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Websitecambridgesemantics.com/­anzographatos.net/en/convergence-creators/portfolio/standard-common-repositorybrytlyt.iowww.harperdb.io
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.brytlyt.iodocs.harperdb.io/­docs
DeveloperCambridge SemanticsAtos Convergence CreatorsBrytlytHarperDB
Initial release2018201620162017
Current release2.3, January 202117035.0, August 20233.1, August 2021
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialcommercialcommercial infofree community edition available
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 languageJavaC, C++ and CUDANode.js
Server operating systemsLinuxLinuxLinux
OS X
Windows
Linux
OS X
Data schemeSchema-free and OWL/RDFS-schema supportSchema and schema-less with LDAP viewsyesdynamic schema
Typing infopredefined data types such as float or dateoptionalyesyes infoJSON data types
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.noyesyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.noyesSQL-like data manipulation statements
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
LDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Supported programming languagesC++
Java
Python
All languages with LDAP bindings.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.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
Server-side scripts infoStored proceduresuser defined functions and aggregatesnouser defined functions infoin PL/pgSQLCustom Functions infosince release 3.1
Triggersnoyesyesno
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 cluster
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusteryesSource-replica replicationyes infothe nodes on which a table resides can be defined
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 graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDAtomic execution of specific operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using LMDB
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 authenticationfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
AnzoGraph DBAtos Standard Common RepositoryBrytlytHarperDB
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