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DBMS > GeoMesa vs. HugeGraph vs. Microsoft SQL Server vs. SAP SQL Anywhere vs. TerarkDB

System Properties Comparison GeoMesa vs. HugeGraph vs. Microsoft SQL Server vs. SAP SQL Anywhere vs. TerarkDB

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonHugeGraph  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A fast-speed and highly-scalable Graph DBMSMicrosofts flagship relational DBMSRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelSpatial DBMSGraph DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.81
Rank#189  Overall
#3  Spatial DBMS
Score0.12
Rank#302  Overall
#28  Graph DBMS
Score954.02
Rank#3  Overall
#3  Relational DBMS
Score5.53
Rank#70  Overall
#38  Relational DBMS
Score0.01
Rank#344  Overall
#54  Key-value stores
Websitewww.geomesa.orggithub.com/­hugegraphwww.microsoft.com/­en-us/­sql-serverwww.sap.com/­products/­sql-anywhere.htmlgithub.com/­Terark/­terarkdb
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlhugegraph.github.io/­hugegraph-docdocs.microsoft.com/­en-US/­sql/­sql-serverhelp.sap.com/­sql-anywheregithub.com/­Terark/­terarkdb/­wiki
DeveloperCCRi and othersBaiduMicrosoftSAP infoformerly SybaseTerark
Initial release20142018198919922016
Current release3.1.1, January 20210.9SQL Server 2019, November 201917, July 2015
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2.0commercial inforestricted free version is availablecommercialcommercial inforestricted open source version available
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 languageScalaJavaC++C++
Server operating systemsLinux
macOS
Unix
Linux
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonoyesyesno
Secondary indexesyesyes infoalso supports composite index and range indexyesyesno
SQL infoSupport of SQLnonoyesyesno
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
HTTP API
JDBC
ODBC
C++ API
Java API
Supported programming languagesGroovy
Java
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes, in C/C++, Java, .Net or Perlno
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layeryes infodepending on used storage backend, e.g. Cassandra and HBasetables can be distributed across several files (horizontal partitioning); sharding through federationnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes infodepending on used storage backend, e.g. Cassandra and HBaseyes, but depending on the SQL-Server EditionSource-replica replication infoDatabase mirroringnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesvia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno
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 layeryesyesyesyes
User concepts infoAccess controlyes infodepending on the DBMS used for storageUsers, roles and permissionsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
GeoMesaHugeGraphMicrosoft SQL ServerSAP SQL Anywhere infoformerly called Adaptive Server AnywhereTerarkDB
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