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DBMS > Apache Phoenix vs. H2 vs. InfinityDB vs. openGauss

System Properties Comparison Apache Phoenix vs. H2 vs. InfinityDB vs. openGauss

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonH2  Xexclude from comparisonInfinityDB  Xexclude from comparisonopenGauss  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A Java embedded Key-Value Store which extends the Java Map interfaceAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score1.06
Rank#184  Overall
#84  Relational DBMS
Websitephoenix.apache.orgwww.h2database.comboilerbay.comgitee.com/­opengauss
opengauss.org
Technical documentationphoenix.apache.orgwww.h2database.com/­html/­main.htmlboilerbay.com/­infinitydb/­manualdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperApache Software FoundationThomas MuellerBoiler Bay Inc.Huawei and openGauss community
Initial release2014200520022019
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.2.220, July 20234.03.0, March 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)commercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC, C++, Java
Server operating systemsLinux
Unix
Windows
All OS with a Java VMAll OS with a Java VMLinux
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or dateyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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.nononono
Secondary indexesyesyesno infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLyesyesnoANSI SQL 2011
APIs and other access methodsJDBCJDBC
ODBC
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
JavaJavaC
C++
Java
Server-side scripts infoStored proceduresuser defined functionsJava Stored Procedures and User-Defined Functionsnoyes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonehorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
With clustering: 2 database servers on different computers operate on identical copies of a databasenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integritynoyesno infomanual creation possible, using inversions based on multi-value capabilityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.yesyesnono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache PhoenixH2InfinityDBopenGauss
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