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DBMS > AnzoGraph DB vs. Datomic vs. Hive vs. Quasardb vs. Riak KV

System Properties Comparison AnzoGraph DB vs. Datomic vs. Hive vs. Quasardb vs. Riak KV

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonDatomic  Xexclude from comparisonHive  Xexclude from comparisonQuasardb  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilitydata warehouse software for querying and managing large distributed datasets, built on HadoopDistributed, high-performance timeseries databaseDistributed, fault tolerant key-value store
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Score4.44
Rank#80  Overall
#9  Key-value stores
Websitecambridgesemantics.com/­anzographwww.datomic.comhive.apache.orgquasar.ai
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.datomic.comcwiki.apache.org/­confluence/­display/­Hive/­Homedoc.quasar.ai/­masterwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperCambridge SemanticsCognitectApache Software Foundation infoinitially developed by FacebookquasardbOpenSource, formerly Basho Technologies
Initial release20182012201220092009
Current release2.3, January 20211.0.6735, June 20233.1.3, April 20223.14.1, January 20243.2.0, December 2022
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercial infolimited edition freeOpen Source infoApache Version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaC++Erlang
Server operating systemsLinuxAll OS with a Java VMAll OS with a Java VMBSD
Linux
OS X
Windows
Linux
OS X
Data schemeSchema-free and OWL/RDFS-schema supportyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryno
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 indexesnoyesyesyes infowith tagsrestricted
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.noSQL-like DML and DDL statementsSQL-like query languageno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
RESTful HTTP APIJDBC
ODBC
Thrift
HTTP APIHTTP API
Native Erlang Interface
Supported programming languagesC++
Java
Python
Clojure
Java
C++
Java
PHP
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
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoTransaction Functionsyes infouser defined functions and integration of map-reducenoErlang
TriggersnoBy using transaction functionsnonoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnone infoBut extensive use of caching in the application peersShardingSharding infoconsistent hashingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusternone infoBut extensive use of caching in the application peersselectable replication factorSource-replica replication with selectable replication factorselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyes infoquery execution via MapReducewith Hadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnononono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentyes infoTransient mode
User concepts infoAccess controlAccess rights for users and rolesnoAccess rights for users, groups and rolesCryptographically strong user authentication and audit trailyes, using Riak Security

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More resources
AnzoGraph DBDatomicHiveQuasardbRiak KV
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