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DBMS > AnzoGraph DB vs. BaseX vs. NSDb vs. SAP Adaptive Server vs. Spark SQL

System Properties Comparison AnzoGraph DB vs. BaseX vs. NSDb vs. SAP Adaptive Server vs. Spark SQL

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonBaseX  Xexclude from comparisonNSDb  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesThe SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMSSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelGraph DBMS
RDF store
Native XML DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith Boeing's Spatial Query Server
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#295  Overall
#24  Graph DBMS
#13  RDF stores
Score1.96
Rank#141  Overall
#4  Native XML DBMS
Score0.07
Rank#369  Overall
#40  Time Series DBMS
Score37.49
Rank#25  Overall
#17  Relational DBMS
Score19.56
Rank#34  Overall
#21  Relational DBMS
Websitecambridgesemantics.com/­anzographbasex.orgnsdb.iowww.sap.com/­products/­technology-platform/­sybase-ase.htmlspark.apache.org/­sql
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.basex.orgnsdb.io/­Architecturehelp.sap.com/­docs/­SAP_ASEspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperCambridge SemanticsBaseX GmbHSAP, SybaseApache Software Foundation
Initial release20182007201719872014
Current release2.3, January 202110.7, August 202316.03.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoBSD licenseOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0
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 languageJavaJava, ScalaC and C++Scala
Server operating systemsLinuxLinux
OS X
Windows
Linux
macOS
AIX
HP-UX
Linux
Solaris
Unix
Windows
Linux
OS X
Windows
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeyesyes
Typing infopredefined data types such as float or dateno infoXQuery supports typesyes: int, bigint, decimal, stringyesyes
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.nononono
Secondary indexesnoyesall fields are automatically indexedyesno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.noSQL-like query languageyesSQL-like DML and DDL statements
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
gRPC
HTTP REST
WebSocket
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
Supported programming languagesC++
Java
Python
Actionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
Java
Scala
C
C++
Cobol
Java
Java
Perl
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesnoJava and Transact-SQLno
Triggersnoyes infovia eventsyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneShardinghorizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusternoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDmultiple readers, single writernoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and rolesUsers with fine-grained authorization concept on 4 levelsfine grained access rights according to SQL-standardno

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More resources
AnzoGraph DBBaseXNSDbSAP Adaptive Server infoformer name: Sybase ASESpark SQL
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