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DBMS > AnzoGraph DB vs. Apache Phoenix vs. eXtremeDB vs. FatDB

System Properties Comparison AnzoGraph DB vs. Apache Phoenix vs. eXtremeDB vs. FatDB

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonApache Phoenix  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.
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationA scale-out RDBMS with evolutionary schema built on Apache HBaseNatively 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
RDF store
Relational DBMSRelational DBMS
Time Series DBMS
Document store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Websitecambridgesemantics.com/­anzographphoenix.apache.orgwww.mcobject.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmphoenix.apache.orgwww.mcobject.com/­docs/­extremedb.htm
DeveloperCambridge SemanticsApache Software FoundationMcObjectFatCloud
Initial release2018201420012012
Current release2.3, January 20215.0-HBase2, July 2018 and 4.15-HBase1, December 20198.2, 2021
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C#
Server operating systemsLinuxLinux
Unix
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyes infolate-bound, schema-on-read capabilitiesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.nonono infosupport of XML interfaces available
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yesyes infowith the option: eXtremeSQLno infoVia inetgration in SQL Server
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC.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
Python
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C#
C++
Java
Lua
Python
Scala
C#
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsyesyes infovia applications
Triggersnonoyes infoby defining eventsyes infovia applications
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardinghorizontal partitioning / shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replication
Source-replica replication
Active 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 methodsKerberos/HDFS data loadingHadoop integrationnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyesno
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.yesyesyes
User concepts infoAccess controlAccess rights for users and rolesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyno infoCan implement custom security layer via applications
More information provided by the system vendor
AnzoGraph DBApache PhoenixeXtremeDBFatDB
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,...
» more
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...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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AnzoGraph DBApache PhoenixeXtremeDBFatDB
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