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DBMS > AgensGraph vs. Alibaba Cloud AnalyticDB for PostgreSQL vs. eXtremeDB vs. FatDB

System Properties Comparison AgensGraph vs. Alibaba Cloud AnalyticDB for PostgreSQL vs. eXtremeDB vs. FatDB

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAlibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDB  Xexclude from comparisoneXtremeDB  Xexclude from comparisonFatDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLAn online MPP (Massively Parallel Processing) data warehousing service based on GreenplumNatively in-memory DBMS with options for persistency, high-availability and clusteringA .NET NoSQL DBMS that can integrate with and extend SQL Server.
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSRelational DBMS
Time Series DBMS
Document store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score0.68
Rank#231  Overall
#105  Relational DBMS
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Websitebitnine.net/­agensgraphwww.alibabacloud.com/­product/­hybriddb-postgresqlwww.mcobject.com
Technical documentationbitnine.net/­documentationwww.alibabacloud.com/­help/­en/­analyticdb-for-postgresql/­latest/­product-introduction-overviewwww.mcobject.com/­docs/­extremedb.htm
DeveloperBitnine Global Inc.Alibaba / Pivotal Software Inc. / PostgreSQL Global Development GroupMcObjectFatCloud
Initial release2016201620012012
Current release2.1, December 20188.2, 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC and C++C#
Server operating systemsLinux
OS X
Windows
hostedAIX
HP-UX
Linux
macOS
Solaris
Windows
Windows
Data schemedepending on used data modelyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesno infosupport of XML interfaces available
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyesyes infowith the option: eXtremeSQLno infoVia inetgration in SQL Server
APIs and other access methodsCypher Query Language
JDBC
JDBC
ODBC
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Supported programming languagesC
Java
JavaScript
Python
C
Java
Perl
Python
R
.Net
C
C#
C++
Java
Lua
Python
Scala
C#
Server-side scripts infoStored proceduresyesyesyesyes infovia applications
Triggersnoyesyes infoby defining eventsyes infovia applications
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infoImplicit feature of the cloud servicehorizontal partitioning / shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoImplicit feature of the cloud serviceActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes
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-standardfine grained access rights according to SQL-standardno infoCan implement custom security layer via applications
More information provided by the system vendor
AgensGraphAlibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDBeXtremeDBFatDB
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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More resources
AgensGraphAlibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDBeXtremeDBFatDB
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