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DBMS > Dgraph vs. GeoMesa vs. Microsoft SQL Server vs. Netezza vs. SAP SQL Anywhere

System Properties Comparison Dgraph vs. GeoMesa vs. Microsoft SQL Server vs. Netezza vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGeoMesa  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Microsofts flagship relational DBMSData warehouse and analytics appliance part of IBM PureSystemsRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelGraph DBMSSpatial DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#158  Overall
#15  Graph DBMS
Score0.81
Rank#214  Overall
#4  Spatial DBMS
Score829.80
Rank#3  Overall
#3  Relational DBMS
Score10.18
Rank#46  Overall
#29  Relational DBMS
Score4.57
Rank#78  Overall
#43  Relational DBMS
Websitedgraph.iowww.geomesa.orgwww.microsoft.com/­en-us/­sql-serverwww.ibm.com/­products/­netezzawww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdgraph.io/­docswww.geomesa.org/­documentation/­stable/­user/­index.htmllearn.microsoft.com/­en-US/­sql/­sql-serverhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperDgraph Labs, Inc.CCRi and othersMicrosoftIBMSAP infoformerly Sybase
Initial release20162014198920001992
Current release4.0.5, February 2024SQL Server 2022, November 202217, July 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache License 2.0commercial inforestricted free version is availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoScalaC++
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux infoincluded in applianceAIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnonoyesyesyes
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
OLE DB
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayesyes, in C/C++, Java, .Net or Perl
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesyesdepending on storage layertables can be distributed across several files (horizontal partitioning); sharding through federationShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftdepending on storage layeryes, but depending on the SQL-Server EditionSource-replica replicationSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryesyes
User concepts infoAccess controlno infoPlanned for future releasesyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
DgraphGeoMesaMicrosoft SQL ServerNetezza infoAlso called PureData System for Analytics by IBMSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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