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DBMS > etcd vs. Fujitsu Enterprise Postgres vs. JaguarDB vs. LevelDB vs. RDF4J

System Properties Comparison etcd vs. Fujitsu Enterprise Postgres vs. JaguarDB vs. LevelDB vs. RDF4J

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonJaguarDB  Xexclude from comparisonLevelDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionA distributed reliable key-value storeEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Performant, highly scalable DBMS for AI and IoT applicationsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelKey-value storeRelational DBMSKey-value store
Vector DBMS
Key-value storeRDF store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.69
Rank#230  Overall
#9  RDF stores
Websiteetcd.io
github.com/­etcd-io/­etcd
www.postgresql.fastware.comwww.jaguardb.comgithub.com/­google/­leveldbrdf4j.org
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.postgresql.fastware.com/­product-manualswww.jaguardb.com/­support.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdrdf4j.org/­documentation
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyDataJaguar, Inc.GoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release201520112004
Current release3.4, August 2019Fujitsu Enterprise Postgres 14, January 20223.3 July 20231.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPL V3.0Open Source infoBSDOpen Source infoEclipse Distribution License (EDL), v1.0.
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 languageGoCC++ infothe server part. Clients available in other languagesC++Java
Server operating systemsFreeBSD
Linux
Windows infoexperimental
Linux
Windows
LinuxIllumos
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeyesyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or datenoyesyesnoyes
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.nonono
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnoyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnono
APIs and other access methodsgRPC
JSON over HTTP
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Java
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsnonoyes
Triggersyes, watching key changesyesnonoyes
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-replica replicationMulti-source replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnofine grained access rights according to SQL-standardrights management via user accountsnono
More information provided by the system vendor
etcdFujitsu Enterprise PostgresJaguarDBLevelDBRDF4J infoformerly known as Sesame
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
etcdFujitsu Enterprise PostgresJaguarDBLevelDBRDF4J infoformerly known as Sesame
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