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DBMS > DataFS vs. etcd vs. H2 vs. Oracle NoSQL vs. SWC-DB

System Properties Comparison DataFS vs. etcd vs. H2 vs. Oracle NoSQL vs. SWC-DB

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonetcd  Xexclude from comparisonH2  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.A distributed reliable key-value storeFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesA high performance, scalable Wide Column DBMS
Primary database modelObject oriented DBMSKey-value storeRelational DBMSDocument store
Key-value store
Relational DBMS
Wide column store
Secondary database modelsGraph DBMSSpatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score3.05
Rank#97  Overall
#17  Document stores
#16  Key-value stores
#50  Relational DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitenewdatabase.cometcd.io
github.com/­etcd-io/­etcd
www.h2database.comwww.oracle.com/­database/­nosql/­technologies/­nosqlgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdev.mobiland.com/­Overview.xspetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.h2database.com/­html/­main.htmldocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.html
DeveloperMobiland AGThomas MuellerOracleAlex Kashirin
Initial release2018200520112020
Current release1.1.263, October 20223.4, August 20192.2.220, July 202324.1, May 20240.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaJavaC++
Server operating systemsWindowsFreeBSD
Linux
Windows infoexperimental
All OS with a Java VMLinux
Solaris SPARC/x86
Linux
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.schema-free
Typing infopredefined data types such as float or dateyesnoyesoptional
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.nonononono
Secondary indexesnonoyesyes
SQL infoSupport of SQLnonoyesSQL-like DML and DDL statementsSQL-like query language
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
gRPC
JSON over HTTP
JDBC
ODBC
RESTful HTTP APIProprietary protocol
Thrift
Supported programming languages.Net
C
C#
C++
VB.Net
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
JavaC
C#
Go
Java
JavaScript (Node.js)
Python
C++
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined Functionsnono
Triggersno, except callback-events from server when changes happenedyes, watching key changesyesnono
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.With clustering: 2 database servers on different computers operate on identical copies of a databaseElectable source-replica replication per shard. Support distributed global deployment with Multi-region table feature
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDconfigurable infoACID within a storage node (=shard)
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
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.nonoyesyes infooff heap cacheno
User concepts infoAccess controlWindows-Profilenofine grained access rights according to SQL-standardAccess rights for users and roles

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DataFSetcdH2Oracle NoSQLSWC-DB infoSuper Wide Column Database
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