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DBMS > DolphinDB vs. Graph Engine vs. H2 vs. JanusGraph vs. Machbase Neo

System Properties Comparison DolphinDB vs. Graph Engine vs. H2 vs. JanusGraph vs. Machbase Neo

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonH2  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  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.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017TimeSeries DBMS for AIoT and BigData
Primary database modelTime Series DBMSGraph DBMS
Key-value store
Relational DBMSGraph DBMSTime Series DBMS
Secondary database modelsRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Websitewww.dolphindb.comwww.graphengine.iowww.h2database.comjanusgraph.orgmachbase.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.graphengine.io/­docs/­manualwww.h2database.com/­html/­main.htmldocs.janusgraph.orgmachbase.com/­dbms
DeveloperDolphinDB, IncMicrosoftThomas MuellerLinux Foundation; originally developed as Titan by AureliusMachbase
Initial release20182010200520172013
Current releasev2.00.4, January 20222.2.220, July 20230.6.3, February 2023V8.0, August 2023
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoMIT LicenseOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache 2.0commercial infofree test version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++.NET and CJavaJavaC
Server operating systemsLinux
Windows
.NETAll OS with a Java VMLinux
OS X
Unix
Windows
Linux
macOS
Windows
Data schemeyesyesyesyesyes
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.nonononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languagenoyesnoSQL-like query language
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
RESTful HTTP APIJDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
C++
F#
Visual Basic
JavaClojure
Java
Python
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
Server-side scripts infoStored proceduresyesyesJava Stored Procedures and User-Defined Functionsyesno
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioningnoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesWith clustering: 2 database servers on different computers operate on identical copies of a databaseyesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infovolatile and lookup table
User concepts infoAccess controlAdministrators, Users, Groupsfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Serversimple password-based access control

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More resources
DolphinDBGraph Engine infoformer name: TrinityH2JanusGraph infosuccessor of TitanMachbase Neo infoFormer name was Infiniflux
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