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DBMS > Fujitsu Enterprise Postgres vs. Google Cloud Spanner vs. InfinityDB vs. Percona Server for MySQL

System Properties Comparison Fujitsu Enterprise Postgres vs. Google Cloud Spanner vs. InfinityDB vs. Percona Server for MySQL

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonInfinityDB  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparison
DescriptionEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.A Java embedded Key-Value Store which extends the Java Map interfaceEnhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score2.10
Rank#119  Overall
#57  Relational DBMS
Websitewww.postgresql.fastware.comcloud.google.com/­spannerboilerbay.comwww.percona.com/­software/­mysql-database/­percona-server
Technical documentationwww.postgresql.fastware.com/­product-manualscloud.google.com/­spanner/­docsboilerbay.com/­infinitydb/­manualwww.percona.com/­downloads/­Percona-Server-LATEST
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGoogleBoiler Bay Inc.Percona
Initial release201720022008
Current releaseFujitsu Enterprise Postgres 14, January 20224.08.0.36-28, 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL version 2
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC and C++
Server operating systemsLinux
Windows
hostedAll OS with a Java VMLinux
Data schemeyesyesyes 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.nonoyes
Secondary indexesyesyesno infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLyesyes infoQuery statements complying to ANSI 2011noyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
JavaScript (Node.js)
Python
JavaAda
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsnonoyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication with 3 replicas for regional instances.noneMulti-source replication
Source-replica replication
XtraDB Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integrityyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno infomanual creation possible, using inversions based on multi-value capabilityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoStrict serializable isolationACID infoOptimistic locking for transactions; no isolation for bulk loadsACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noUsers with fine-grained authorization concept infono user groups or roles

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More resources
Fujitsu Enterprise PostgresGoogle Cloud SpannerInfinityDBPercona Server for MySQL
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