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DBMS > DolphinDB vs. H2 vs. HyperSQL vs. JanusGraph vs. RDF4J

System Properties Comparison DolphinDB vs. H2 vs. HyperSQL vs. JanusGraph vs. RDF4J

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonH2  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
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.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelTime Series DBMSRelational DBMSRelational DBMSGraph DBMSRDF store
Secondary database modelsRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Websitewww.dolphindb.comwww.h2database.comhsqldb.orgjanusgraph.orgrdf4j.org
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.h2database.com/­html/­main.htmlhsqldb.org/­web/­hsqlDocsFrame.htmldocs.janusgraph.orgrdf4j.org/­documentation
DeveloperDolphinDB, IncThomas MuellerLinux Foundation; originally developed as Titan by AureliusSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20182005200120172004
Current releasev2.00.4, January 20222.2.220, July 20232.7.2, June 20230.6.3, February 2023
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infobased on BSD licenseOpen Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaJavaJava
Server operating systemsLinux
Windows
All OS with a Java VMAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
OS X
Unix
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesyesyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesyesnono
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBC
ODBC
HTTP API infoJDBC via HTTP
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
JavaAll languages supporting JDBC/ODBC
Java
Clojure
Java
Python
Java
PHP
Python
Server-side scripts infoStored proceduresyesJava Stored Procedures and User-Defined FunctionsJava, SQLyesyes
Triggersnoyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnonenoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)none
Replication methods infoMethods for redundantly storing data on multiple nodesyesWith clustering: 2 database servers on different computers operate on identical copies of a databasenoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAdministrators, Users, Groupsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Serverno

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More resources
DolphinDBH2HyperSQL infoalso known as HSQLDBJanusGraph infosuccessor of TitanRDF4J infoformerly known as Sesame
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