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DBMS > DolphinDB vs. Graph Engine vs. H2 vs. MarkLogic vs. Prometheus

System Properties Comparison DolphinDB vs. Graph Engine vs. H2 vs. MarkLogic vs. Prometheus

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonH2  Xexclude from comparisonMarkLogic  Xexclude from comparisonPrometheus  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.Operational and transactional Enterprise NoSQL databaseOpen-source Time Series DBMS and monitoring system
Primary database modelTime Series DBMSGraph DBMS
Key-value store
Relational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Time 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
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websitewww.dolphindb.comwww.graphengine.iowww.h2database.comwww.marklogic.comprometheus.io
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.graphengine.io/­docs/­manualwww.h2database.com/­html/­main.htmldocs.marklogic.comprometheus.io/­docs
DeveloperDolphinDB, IncMicrosoftThomas MuellerMarkLogic Corp.
Initial release20182010200520012015
Current releasev2.00.4, January 20222.2.220, July 202311.0, December 2022
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoMIT LicenseOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial inforestricted free version is availableOpen Source infoApache 2.0
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 CJavaC++Go
Server operating systemsLinux
Windows
.NETAll OS with a Java VMLinux
OS X
Windows
Linux
Windows
Data schemeyesyesyesschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyesyesyesyesNumeric data only
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.nononoyesno infoImport of XML data possible
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like query languagenoyesyes infoSQL92no
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
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
C++
F#
Visual Basic
JavaC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyesyesJava Stored Procedures and User-Defined Functionsyes infovia XQuery or JavaScriptno
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioningnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesWith clustering: 2 database servers on different computers operate on identical copies of a databaseyesyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACID infocan act as a resource manager in an XA/JTA transactionno
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 storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes, with Range Indexesno
User concepts infoAccess controlAdministrators, Users, Groupsfine grained access rights according to SQL-standardRole-based access control at the document and subdocument levelsno

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More resources
DolphinDBGraph Engine infoformer name: TrinityH2MarkLogicPrometheus
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