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DBMS > BaseX vs. etcd vs. Rockset vs. Sadas Engine vs. Spark SQL

System Properties Comparison BaseX vs. etcd vs. Rockset vs. Sadas Engine vs. Spark SQL

Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonetcd  Xexclude from comparisonRockset  Xexclude from comparisonSadas Engine  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 storeA scalable, reliable search and analytics service in the cloud, built on RocksDBSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelNative XML DBMSKey-value storeDocument storeRelational DBMSRelational DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.79
Rank#211  Overall
#35  Document stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitebasex.orgetcd.io
github.com/­etcd-io/­etcd
rockset.comwww.sadasengine.comspark.apache.org/­sql
Technical documentationdocs.basex.orgetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.rockset.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperBaseX GmbHRocksetSADAS s.r.l.Apache Software Foundation
Initial release2007201920062014
Current release10.7, August 20233.4, August 20198.03.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoApache Version 2.0commercialcommercial infofree trial version availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++C++Scala
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
Windows infoexperimental
hostedAIX
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateno infoXQuery supports typesnodynamic typingyesyes
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.nono infoingestion from XML files supportednono
Secondary indexesyesnoall fields are automatically indexedyesno
SQL infoSupport of SQLnonoRead-only SQL queries, including JOINsyesSQL-like DML and DDL statements
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
gRPC
JSON over HTTP
HTTP RESTJDBC
ODBC
Proprietary protocol
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
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesnononono
Triggersyes infovia eventsyes, watching key changesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardinghorizontal 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.yesnonenone
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 writernonono
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.noyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsnoAccess rights for users and organizations can be defined via Rockset consoleAccess rights for users, groups and roles according to SQL-standardno

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More resources
BaseXetcdRocksetSadas EngineSpark SQL
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