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DBMS > Apache Phoenix vs. GBase vs. InfinityDB vs. MaxDB

System Properties Comparison Apache Phoenix vs. GBase vs. InfinityDB vs. MaxDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonGBase  Xexclude from comparisonInfinityDB  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A Java embedded Key-Value Store which extends the Java Map interfaceA robust and reliable RDBMS optimized to run all major SAP solutions
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Score2.32
Rank#112  Overall
#55  Relational DBMS
Websitephoenix.apache.orgwww.gbase.cnboilerbay.commaxdb.sap.com
Technical documentationphoenix.apache.orgboilerbay.com/­infinitydb/­manualmaxdb.sap.com/­documentation
DeveloperApache Software FoundationGeneral Data Technology Co., Ltd.Boiler Bay Inc.SAP, acquired from Software AG (Adabas-D) in 1997
Initial release2014200420021984
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019GBase 8a, GBase 8s, GBase 8c4.07.9.10.12, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, Java, PythonJavaC++
Server operating systemsLinux
Unix
Windows
LinuxAll OS with a Java VMAIX
HP-UX
Linux
Solaris
Windows
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.noyesnono
Secondary indexesyesyesno infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLyesStandard with numerous extensionsnoyes
APIs and other access methodsJDBCADO.NET
C API
JDBC
ODBC
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
ADO.NET
JDBC
ODBC
WebDAV
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C#Java.Net
C#
Java
Perl
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnoyes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnono
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 datayesyesyesyes
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 controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyyesnofine grained access rights according to SQL-standard

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More resources
Apache PhoenixGBaseInfinityDBMaxDB infoformerly named Adabas-D
DB-Engines blog posts

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Recent citations in the news

Supercharge SQL on Your Data in Apache HBase with Apache Phoenix | Amazon Web Services
2 June 2016, AWS Blog

Azure #HDInsight Apache Phoenix now supports Zeppelin
16 August 2018, Microsoft

Bridge the SQL-NoSQL gap with Apache Phoenix
4 February 2016, InfoWorld

Apache Calcite, FreeMarker, Gora, Phoenix, and Solr updated
27 March 2017, SDTimes.com

Azure HDInsight Analytics Platform Now Supports Apache Hadoop 3.0
18 April 2019, eWeek

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21 March 2022, TechTarget

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5 June 2018, Alizila

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28 July 2021, E3-Magazin

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