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DBMS > Fujitsu Enterprise Postgres vs. Google Cloud Bigtable vs. Kdb vs. OpenQM

System Properties Comparison Fujitsu Enterprise Postgres vs. Google Cloud Bigtable vs. Kdb vs. OpenQM

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonKdb  Xexclude from comparisonOpenQM infoalso called QM  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.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.High performance Time Series DBMSQpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelRelational DBMSKey-value store
Wide column store
Time Series DBMS
Vector DBMS
Multivalue DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#304  Overall
#137  Relational DBMS
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.28
Rank#291  Overall
#10  Multivalue DBMS
Websitewww.postgresql.fastware.comcloud.google.com/­bigtablekx.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationwww.postgresql.fastware.com/­product-manualscloud.google.com/­bigtable/­docscode.kx.com
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGoogleKx Systems, a division of First Derivatives plcRocket Software, originally Martin Phillips
Initial release20152000 infokdb was released 2000, kdb+ in 20031993
Current releaseFujitsu Enterprise Postgres 14, January 20223.6, May 20183.4-12
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree 32-bit versionOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCq
Server operating systemsLinux
Windows
hostedLinux
OS X
Solaris
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeyesschema-freeyesyes infowith some exceptions
Typing infopredefined data types such as float or dateyesnoyes
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.noyesyes
Secondary indexesyesnoyes infotable attribute 'grouped'yes
SQL infoSupport of SQLyesnoSQL-like query language (q)no
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsnouser defined functionsyes
Triggersyesnoyes infowith viewsyes
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashShardinghorizontal partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsnoACID
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.noyes
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)rights management via user accountsAccess rights can be defined down to the item level
More information provided by the system vendor
Fujitsu Enterprise PostgresGoogle Cloud BigtableKdbOpenQM infoalso called QM
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
Fujitsu Enterprise PostgresGoogle Cloud BigtableKdbOpenQM infoalso called QM
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