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DBMS > H2 vs. Microsoft Azure Synapse Analytics vs. openGauss vs. Oracle vs. Warp 10

System Properties Comparison H2 vs. Microsoft Azure Synapse Analytics vs. openGauss vs. Oracle vs. Warp 10

Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonopenGauss  Xexclude from comparisonOracle  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiWidely used RDBMSTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Document store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score1.08
Rank#183  Overall
#84  Relational DBMS
Score1236.29
Rank#1  Overall
#1  Relational DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitewww.h2database.comazure.microsoft.com/­services/­synapse-analyticsgitee.com/­opengauss
opengauss.org
www.oracle.com/­databasewww.warp10.io
Technical documentationwww.h2database.com/­html/­main.htmldocs.microsoft.com/­azure/­synapse-analyticsdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
docs.oracle.com/­en/­databasewww.warp10.io/­content/­02_Getting_started
DeveloperThomas MuellerMicrosoftHuawei and openGauss communityOracleSenX
Initial release20052016201919802015
Current release2.2.220, July 20233.0, March 202223c, September 2023
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercialOpen Sourcecommercial inforestricted free version is availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C, C++, JavaC and C++Java
Server operating systemsAll OS with a Java VMhostedLinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Linux
OS X
Windows
Data schemeyesyesyesyes infoSchemaless in JSON and XML columnsschema-free
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.nononoyesno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyesyesANSI SQL 2011yes infowith proprietary extensionsno
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
HTTP API
Jupyter
WebSocket
Supported programming languagesJavaC#
Java
PHP
C
C++
Java
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined FunctionsTransact SQLyesPL/SQL infoalso stored procedures in Java possibleyes infoWarpScript
Triggersyesnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioninghorizontal partitioning (by range, list and hash)Sharding, horizontal partitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseyesSource-replica replicationMulti-source replication
Source-replica replication
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infocan be realized in PL/SQLno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infoisolation level can be parameterizedno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'yes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
H2Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseopenGaussOracleWarp 10
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