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

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

Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonetcd  Xexclude from comparisonNSDb  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.A distributed reliable key-value storeScalable, 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 modelNative XML DBMSKey-value storeTime 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
Score1.90
Rank#136  Overall
#4  Native XML DBMS
Score7.64
Rank#54  Overall
#5  Key-value stores
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Score37.12
Rank#25  Overall
#17  Relational DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Websitebasex.orgetcd.io
github.com/­etcd-io/­etcd
nsdb.iowww.sap.com/­products/­technology-platform/­sybase-ase.htmlspark.apache.org/­sql
Technical documentationdocs.basex.orgetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
nsdb.io/­Architecturehelp.sap.com/­docs/­SAP_ASEspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperBaseX GmbHSAP, SybaseApache Software Foundation
Initial release2007201719872014
Current release10.7, August 20233.4, August 201916.03.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoApache Version 2.0Open 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 languageJavaGoJava, ScalaC and C++Scala
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
Windows infoexperimental
Linux
macOS
AIX
HP-UX
Linux
Solaris
Unix
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateno infoXQuery supports typesnoyes: 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 indexesyesnoall fields are automatically indexedyesno
SQL infoSupport of SQLnonoSQL-like query languageyesSQL-like DML and DDL statements
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
gRPC
JSON over HTTP
gRPC
HTTP REST
WebSocket
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Java
Scala
C
C++
Cobol
Java
Java
Perl
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesnonoJava and Transact-SQLno
Triggersyes infovia eventsyes, watching key changesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writernonoACIDno
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.nono
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsnofine grained access rights according to SQL-standardno

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More resources
BaseXetcdNSDbSAP Adaptive Server infoformer name: Sybase ASESpark SQL
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