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DBMS > AgensGraph vs. Microsoft Azure Table Storage vs. Netezza vs. Prometheus

System Properties Comparison AgensGraph vs. Microsoft Azure Table Storage vs. Netezza vs. Prometheus

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA Wide Column Store for rapid development using massive semi-structured datasetsData warehouse and analytics appliance part of IBM PureSystemsOpen-source Time Series DBMS and monitoring system
Primary database modelGraph DBMS
Relational DBMS
Wide column storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitebitnine.net/­agensgraphazure.microsoft.com/­en-us/­services/­storage/­tableswww.ibm.com/­products/­netezzaprometheus.io
Technical documentationbitnine.net/­documentationprometheus.io/­docs
DeveloperBitnine Global Inc.MicrosoftIBM
Initial release2016201220002015
Current release2.1, December 2018
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercialOpen Source infoApache 2.0
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 languageCGo
Server operating systemsLinux
OS X
Windows
hostedLinux infoincluded in applianceLinux
Windows
Data schemedepending on used data modelschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
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 infoImport of XML data possible
Secondary indexesyesnoyesno
SQL infoSupport of SQLyesnoyesno
APIs and other access methodsCypher Query Language
JDBC
RESTful HTTP APIJDBC
ODBC
OLE DB
RESTful HTTP/JSON API
Supported programming languagesC
Java
JavaScript
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyesnoyesno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infoImplicit feature of the cloud serviceShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signaturesUsers with fine-grained authorization conceptno

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AgensGraphMicrosoft Azure Table StorageNetezza infoAlso called PureData System for Analytics by IBMPrometheus
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