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DBMS > AnzoGraph DB vs. BoltDB vs. Riak KV vs. Teradata Aster vs. Tkrzw

System Properties Comparison AnzoGraph DB vs. BoltDB vs. Riak KV vs. Teradata Aster vs. Tkrzw

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonBoltDB  Xexclude from comparisonRiak KV  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore 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 virtualizationAn embedded key-value store for Go.Distributed, fault tolerant key-value storePlatform for big data analytics on multistructured data sources and typesA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelGraph DBMS
RDF store
Key-value storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMSKey-value 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
Score0.74
Rank#220  Overall
#31  Key-value stores
Score4.10
Rank#82  Overall
#9  Key-value stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitecambridgesemantics.com/­anzographgithub.com/­boltdb/­boltdbmx.net/­tkrzw
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperCambridge SemanticsOpenSource, formerly Basho TechnologiesTeradataMikio Hirabayashi
Initial release20182013200920052020
Current release2.3, January 20213.2.0, December 20220.9.3, August 2020
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoMIT LicenseOpen Source infoApache version 2, commercial enterprise editioncommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoErlangC++
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
Linux
OS X
LinuxLinux
macOS
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-free
Typing infopredefined data types such as float or datenonoyesno
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.nononoyes infoin Aster File Storeno
Secondary indexesnonorestrictedyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.nonoyesno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
HTTP API
Native Erlang Interface
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC++
Java
Python
GoC 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
C
C#
C++
Java
Python
R
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoErlangR packagesno
Triggersnonoyes infopre-commit hooks and post-commit hooksnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneSharding infono "single point of failure"Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusternoneselectable replication factoryes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyesyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusternoneEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnono infolinks between data sets can be storednono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes infousing specific database classes
User concepts infoAccess controlAccess rights for users and rolesnoyes, using Riak Securityfine grained access rights according to SQL-standardno

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More resources
AnzoGraph DBBoltDBRiak KVTeradata AsterTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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