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DBMS > AgensGraph vs. Fujitsu Enterprise Postgres vs. Hypertable vs. IBM Db2 warehouse

System Properties Comparison AgensGraph vs. Fujitsu Enterprise Postgres vs. Hypertable vs. IBM Db2 warehouse

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonHypertable  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.An open source BigTable implementation based on distributed file systems such as HadoopCloud-based data warehousing service
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSWide column storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score1.30
Rank#164  Overall
#75  Relational DBMS
Websitebitnine.net/­agensgraphwww.postgresql.fastware.comwww.ibm.com/­products/­db2/­warehouse
Technical documentationbitnine.net/­documentationwww.postgresql.fastware.com/­product-manuals
DeveloperBitnine Global Inc.PostgreSQL Global Development Group, Fujitsu Australia Software TechnologyHypertable Inc.IBM
Initial release201620092014
Current release2.1, December 2018Fujitsu Enterprise Postgres 14, January 20220.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCCC++
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
hosted
Data schemedepending on used data modelyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nono infoImport/export of XML data possible
Secondary indexesyesyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLyesyesnoyes
APIs and other access methodsCypher Query Language
JDBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
C++ API
Thrift
.NET Client API
JDBC
ODBC
OLE DB
Supported programming languagesC
Java
JavaScript
Python
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
Perl
PHP
Python
Ruby
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyesuser defined functionsnoPL/SQL, SQL PL
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancepartitioning by range, list and by hashShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationselectable replication factor on file system levelyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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-standardfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard
More information provided by the system vendor
AgensGraphFujitsu Enterprise PostgresHypertableIBM Db2 warehouse infoformerly named IBM dashDB
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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AgensGraphFujitsu Enterprise PostgresHypertableIBM Db2 warehouse infoformerly named IBM dashDB
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