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DBMS > DolphinDB vs. JanusGraph vs. Riak KV vs. Tkrzw vs. Yanza

System Properties Comparison DolphinDB vs. JanusGraph vs. Riak KV vs. Tkrzw vs. Yanza

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonRiak KV  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Distributed, fault tolerant key-value storeA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetTime Series DBMS for IoT Applications
Primary database modelTime Series DBMSGraph DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesKey-value storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitewww.dolphindb.comjanusgraph.orgdbmx.net/­tkrzwyanza.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmldocs.janusgraph.orgwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperDolphinDB, IncLinux Foundation; originally developed as Titan by AureliusOpenSource, formerly Basho TechnologiesMikio HirabayashiYanza
Initial release20182017200920202015
Current releasev2.00.4, January 20220.6.3, February 20233.2.0, December 20220.9.3, August 2020
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoApache 2.0Open Source infoApache version 2, commercial enterprise editionOpen Source infoApache Version 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaErlangC++
Server operating systemsLinux
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Linux
macOS
Windows
Data schemeyesyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnonono
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.nonononono
Secondary indexesyesyesrestrictedno
SQL infoSupport of SQLSQL-like query languagenononono
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
HTTP API
Native Erlang Interface
HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Clojure
Java
Python
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
C++
Java
Python
Ruby
any language that supports HTTP calls
Server-side scripts infoStored proceduresyesyesErlangnono
Triggersnoyesyes infopre-commit hooks and post-commit hooksnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infono "single point of failure"nonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesselectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infovia Faunus, a graph analytics engineyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsno infolinks between data sets can be storednono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing specific database classes
User concepts infoAccess controlAdministrators, Users, GroupsUser authentification and security via Rexster Graph Serveryes, using Riak Securitynono

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More resources
DolphinDBJanusGraph infosuccessor of TitanRiak KVTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYanza
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