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DBMS > DataFS vs. etcd vs. H2 vs. Ignite vs. SWC-DB

System Properties Comparison DataFS vs. etcd vs. H2 vs. Ignite vs. SWC-DB

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonetcd  Xexclude from comparisonH2  Xexclude from comparisonIgnite  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.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A high performance, scalable Wide Column DBMS
Primary database modelObject oriented DBMSKey-value storeRelational DBMSKey-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
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitenewdatabase.cometcd.io
github.com/­etcd-io/­etcd
www.h2database.comignite.apache.orggithub.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.htmlapacheignite.readme.io/­docs
DeveloperMobiland AGThomas MuellerApache Software FoundationAlex Kashirin
Initial release2018200520152020
Current release1.1.263, October 20223.4, August 20192.2.220, July 2023Apache Ignite 2.60.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache 2.0Open 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 languageGoJavaC++, Java, .NetC++
Server operating systemsWindowsFreeBSD
Linux
Windows infoexperimental
All OS with a Java VMLinux
OS X
Solaris
Windows
Linux
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyes
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.nononoyesno
Secondary indexesnonoyesyes
SQL infoSupport of SQLnonoyesANSI-99 for query and DML statements, subset of DDLSQL-like query language
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
gRPC
JSON over HTTP
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Proprietary 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++
Java
PHP
Python
Ruby
Scala
C++
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined Functionsyes (compute grid and cache interceptors can be used instead)no
Triggersno, except callback-events from server when changes happenedyes, watching key changesyesyes (cache interceptors and events)no
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 databaseyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
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.nonoyesyesno
User concepts infoAccess controlWindows-Profilenofine grained access rights according to SQL-standardSecurity Hooks for custom implementations

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More resources
DataFSetcdH2IgniteSWC-DB infoSuper Wide Column Database
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