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DBMS > H2 vs. Microsoft Azure Synapse Analytics vs. PostgreSQL vs. Warp 10 vs. Yanza

System Properties Comparison H2 vs. Microsoft Azure Synapse Analytics vs. PostgreSQL vs. Warp 10 vs. Yanza

Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPostgreSQL  Xexclude from comparisonWarp 10  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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 ServerWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBaseTime Series DBMS for IoT Applications
Primary database modelRelational DBMSRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Time Series DBMSTime Series DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
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
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitewww.h2database.comazure.microsoft.com/­services/­synapse-analyticswww.postgresql.orgwww.warp10.ioyanza.com
Technical documentationwww.h2database.com/­html/­main.htmldocs.microsoft.com/­azure/­synapse-analyticswww.postgresql.org/­docswww.warp10.io/­content/­02_Getting_started
DeveloperThomas MuellerMicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developerSenXYanza
Initial release200520161989 info1989: Postgres, 1996: PostgreSQL20152015
Current release2.2.220, July 202316.3, May 2024
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercialOpen Source infoBSDOpen Source infoApache License 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenoyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++CJava
Server operating systemsAll OS with a Java VMhostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Windows
Windows
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonoyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLyesyesyes infostandard with numerous extensionsnono
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Jupyter
WebSocket
HTTP API
Supported programming languagesJavaC#
Java
PHP
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
any language that supports HTTP calls
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined FunctionsTransact SQLuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infoWarpScriptno
Triggersyesnoyesnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioningpartitioning by range, list and (since PostgreSQL 11) by hashSharding infobased on HBasenone
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 replication infoother methods possible by using 3rd party extensionsselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBaseImmediate Consistency
Foreign keys infoReferential integrityyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
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
User concepts infoAccess controlfine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizationsno

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More resources
H2Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePostgreSQLWarp 10Yanza
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