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DBMS > Amazon Aurora vs. Apache Phoenix vs. Fujitsu Enterprise Postgres vs. InfinityDB

System Properties Comparison Amazon Aurora vs. Apache Phoenix vs. Fujitsu Enterprise Postgres vs. InfinityDB

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Phoenix  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonInfinityDB  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonA scale-out RDBMS with evolutionary schema built on Apache HBaseEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A Java embedded Key-Value Store which extends the Java Map interface
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Websiteaws.amazon.com/­rds/­auroraphoenix.apache.orgwww.postgresql.fastware.comboilerbay.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlphoenix.apache.orgwww.postgresql.fastware.com/­product-manualsboilerbay.com/­infinitydb/­manual
DeveloperAmazonApache Software FoundationPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyBoiler Bay Inc.
Initial release201520142002
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019Fujitsu Enterprise Postgres 14, January 20224.0
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCJava
Server operating systemshostedLinux
Unix
Windows
Linux
Windows
All OS with a Java VM
Data schemeyesyes infolate-bound, schema-on-read capabilitiesyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade
Typing infopredefined data types such as float or dateyesyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arrays
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.yesnono
Secondary indexesyesyesyesno infomanual creation possible, using inversions based on multi-value capability
SQL infoSupport of SQLyesyesyesno
APIs and other access methodsADO.NET
JDBC
ODBC
JDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Server-side scripts infoStored proceduresyesuser defined functionsuser defined functionsno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingpartitioning by range, list and by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integrityyesnoyesno infomanual creation possible, using inversions based on multi-value capability
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infoOptimistic locking for transactions; no isolation for bulk loads
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standardno
More information provided by the system vendor
Amazon AuroraApache PhoenixFujitsu Enterprise PostgresInfinityDB
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
Amazon AuroraApache PhoenixFujitsu Enterprise PostgresInfinityDB
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