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DBMS > AnzoGraph DB vs. Quasardb vs. Riak KV vs. Trafodion

System Properties Comparison AnzoGraph DB vs. Quasardb vs. Riak KV vs. Trafodion

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonQuasardb  Xexclude from comparisonRiak KV  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded 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 virtualizationDistributed, high-performance timeseries databaseDistributed, fault tolerant key-value storeTransactional SQL-on-Hadoop DBMS
Primary database modelGraph DBMS
RDF store
Time Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational 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
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitecambridgesemantics.com/­anzographquasar.aitrafodion.apache.org
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdoc.quasar.ai/­masterwww.tiot.jp/­riak-docs/­riak/­kv/­latesttrafodion.apache.org/­documentation.html
DeveloperCambridge SemanticsquasardbOpenSource, formerly Basho TechnologiesApache Software Foundation, originally developed by HP
Initial release2018200920092014
Current release2.3, January 20213.14.1, January 20243.2.0, December 20222.3.0, February 2019
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache version 2, commercial enterprise editionOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ErlangC++, Java
Server operating systemsLinuxBSD
Linux
OS X
Windows
Linux
OS X
Linux
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes infointeger and binarynoyes
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.nononono
Secondary indexesnoyes infowith tagsrestrictedyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like query languagenoyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
HTTP APIHTTP API
Native Erlang Interface
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Java
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoErlangJava Stored Procedures
Triggersnonoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infoconsistent hashingSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterSource-replica replication with selectable replication factorselectable replication factoryes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingwith Hadoop integrationyesyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnono infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modeno
User concepts infoAccess controlAccess rights for users and rolesCryptographically strong user authentication and audit trailyes, using Riak Securityfine grained access rights according to SQL-standard

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More resources
AnzoGraph DBQuasardbRiak KVTrafodion
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