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DBMS > HugeGraph vs. Microsoft Azure Table Storage vs. Netezza vs. NSDb vs. SAP SQL Anywhere

System Properties Comparison HugeGraph vs. Microsoft Azure Table Storage vs. Netezza vs. NSDb vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonNSDb  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSA Wide Column Store for rapid development using massive semi-structured datasetsData warehouse and analytics appliance part of IBM PureSystemsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelGraph DBMSWide column storeRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
azure.microsoft.com/­en-us/­services/­storage/­tableswww.ibm.com/­products/­netezzansdb.iowww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationhugegraph.apache.org/­docsnsdb.io/­Architecturehelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperBaiduMicrosoftIBMSAP infoformerly Sybase
Initial release20182012200020171992
Current release0.917, July 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, Scala
Server operating systemsLinux
macOS
Unix
hostedLinux infoincluded in applianceLinux
macOS
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes: int, bigint, decimal, stringyes
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.nononoyes
Secondary indexesyes infoalso supports composite index and range indexnoyesall fields are automatically indexedyes
SQL infoSupport of SQLnonoyesSQL-like query languageyes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP APIJDBC
ODBC
OLE DB
gRPC
HTTP REST
WebSocket
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesGroovy
Java
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
Java
Scala
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnoyesnoyes, in C/C++, Java, .Net or Perl
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoImplicit feature of the cloud serviceShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlUsers, roles and permissionsAccess rights based on private key authentication or shared access signaturesUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
HugeGraphMicrosoft Azure Table StorageNetezza infoAlso called PureData System for Analytics by IBMNSDbSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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