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DBMS > H2 vs. OushuDB vs. Prometheus vs. TDSQL for MySQL

System Properties Comparison H2 vs. OushuDB vs. Prometheus vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonOushuDB  Xexclude from comparisonPrometheus  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningOpen-source Time Series DBMS and monitoring systemA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.10
Rank#355  Overall
#154  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.85
Rank#207  Overall
#97  Relational DBMS
Websitewww.h2database.comwww.oushu.com/­product/­oushuDBprometheus.iowww.tencentcloud.com/­products/­dcdb
Technical documentationwww.h2database.com/­html/­main.htmlwww.oushu.com/­documentationprometheus.io/­docswww.tencentcloud.com/­document/­product/­1042
DeveloperThomas MuellerOushuTencent
Initial release200520152013
Current release2.2.220, July 20234.0.1, August 2020
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGo
Server operating systemsAll OS with a Java VMLinuxLinux
Windows
hosted
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes
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 infoImport of XML data possibleno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesFull-featured ANSI SQL supportnoyes
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
RESTful HTTP/JSON APIJDBC
ODBC
Supported programming languagesJavaC
C++
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined Functionsyesnoyes
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneyesShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes infoby FederationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardKerberos, SSL and role based accessnoUsers with fine-grained authorization concept

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H2OushuDBPrometheusTDSQL for MySQL
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