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DBMS > DolphinDB vs. H2 vs. Hive

System Properties Comparison DolphinDB vs. H2 vs. Hive

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonH2  Xexclude from comparisonHive  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.data warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelTime Series DBMSRelational DBMSRelational 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
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Websitewww.dolphindb.comwww.h2database.comhive.apache.org
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.h2database.com/­html/­main.htmlcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperDolphinDB, IncThomas MuellerApache Software Foundation infoinitially developed by Facebook
Initial release201820052012
Current releasev2.00.4, January 20222.2.220, July 20233.1.3, April 2022
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJava
Server operating systemsLinux
Windows
All OS with a Java VMAll OS with a Java VM
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesSQL-like DML and DDL statements
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBC
ODBC
JDBC
ODBC
Thrift
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
JavaC++
Java
PHP
Python
Server-side scripts infoStored proceduresyesJava Stored Procedures and User-Defined Functionsyes infouser defined functions and integration of map-reduce
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesWith clustering: 2 database servers on different computers operate on identical copies of a databaseselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAdministrators, Users, Groupsfine grained access rights according to SQL-standardAccess rights for users, groups and roles

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DolphinDBH2Hive
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