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DBMS > Fujitsu Enterprise Postgres vs. IBM Db2 warehouse vs. Microsoft Azure AI Search vs. RavenDB

System Properties Comparison Fujitsu Enterprise Postgres vs. IBM Db2 warehouse vs. Microsoft Azure AI Search vs. RavenDB

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRavenDB  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.Cloud-based data warehousing serviceSearch-as-a-service for web and mobile app developmentOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSRelational DBMSSearch engineDocument store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score2.84
Rank#101  Overall
#18  Document stores
Websitewww.postgresql.fastware.comwww.ibm.com/­products/­db2/­warehouseazure.microsoft.com/­en-us/­services/­searchravendb.net
Technical documentationwww.postgresql.fastware.com/­product-manualslearn.microsoft.com/­en-us/­azure/­searchravendb.net/­docs
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyIBMMicrosoftHibernating Rhinos
Initial release201420152010
Current releaseFujitsu Enterprise Postgres 14, January 2022V15.4, July 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC#
Server operating systemsLinux
Windows
hostedhostedLinux
macOS
Raspberry Pi
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.no infoImport/export of XML data possibleno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyesnoSQL-like query language (RQL)
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
JDBC
ODBC
OLE DB
RESTful HTTP API.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C#
Java
JavaScript
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsPL/SQL, SQL PLnoyes
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyes infoImplicit feature of the cloud serviceMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID, Cluster-wide transaction available
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.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes infousing Azure authenticationAuthorization levels configured per client per database

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More resources
Fujitsu Enterprise PostgresIBM Db2 warehouse infoformerly named IBM dashDBMicrosoft Azure AI SearchRavenDB
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