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DBMS > BaseX vs. NSDb vs. SAP Adaptive Server vs. Solr vs. Spark SQL

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

Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonNSDb  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparisonSolr  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionLight-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 RDBMSA widely used distributed, scalable search engine based on Apache LuceneSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelNative XML DBMSTime Series DBMSRelational DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMS infowith Boeing's Spatial Query ServerSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score36.31
Rank#25  Overall
#17  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitebasex.orgnsdb.iowww.sap.com/­products/­technology-platform/­sybase-ase.htmlsolr.apache.orgspark.apache.org/­sql
Technical documentationdocs.basex.orgnsdb.io/­Architecturehelp.sap.com/­docs/­SAP_ASEsolr.apache.org/­resources.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperBaseX GmbHSAP, SybaseApache Software FoundationApache Software Foundation
Initial release20072017198720062014
Current release10.7, August 202316.09.6.0, April 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ScalaC and C++JavaScala
Server operating systemsLinux
OS X
Windows
Linux
macOS
AIX
HP-UX
Linux
Solaris
Unix
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Windows
Data schemeschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateno infoXQuery supports typesyes: int, bigint, decimal, stringyesyes infosupports customizable data types and automatic typingyes
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.nonoyesno
Secondary indexesyesall fields are automatically indexedyesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLnoSQL-like query languageyesSolr Parallel SQL InterfaceSQL-like DML and DDL statements
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
gRPC
HTTP REST
WebSocket
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Java API
RESTful HTTP/JSON API
JDBC
ODBC
Supported programming languagesActionscript
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
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesnoJava and Transact-SQLJava pluginsno
Triggersyes infovia eventsyesyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioningShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writernoACIDoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsfine grained access rights according to SQL-standardyesno

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More resources
BaseXNSDbSAP Adaptive Server infoformer name: Sybase ASESolrSpark SQL
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